# This file was generated from fitsol.py at 2017-08-04 21:40:21.727212

# Bx, By, Bz = 1 + x + y + z + xx + xy + xz + yy + yz + zz + xxx + xxy + xxz + xyy + xyz + xzz + yyy + yyz + yzz + zzz

# barrel r: 0 < its < 80 < tpc < 250 < tof < 400 < tofext < 423 < cal < 500

# barrel z: -550 < neg2z < -260 < negz < 0 < posz < 260 < pos2z < 550

# phi: 0 < q1 < 0.5pi < q2 < pi < q3 < 1.5pi < q4 < 2pi

# header: Rbin Zbin Quadrant Nval_per_compoment(=20)

# data: Nval_per_compoment x floats

#cal5k_z0_q1

4 0 0 20

# precision: tgt 5.00e-03 max 2.04e-02 (407.1%) avg 2.92e-03 (58.3%)

-2.13573e+00 -2.38508e-03 -2.29268e-03 -1.72890e-02 1.13363e-05 2.56121e-05 2.13612e-05 8.40107e-06 1.81240e-05 -2.50396e-05 -4.72784e-09 -1.50020e-08 8.13274e-09 -1.62354e-08 1.29928e-08 2.91368e-08 1.76687e-10 6.08646e-09 2.36729e-08 -8.75258e-09

# precision: tgt 5.00e-03 max 3.90e-02 (781.0%) avg 3.56e-03 (71.2%)

-1.72594e+00 -4.61708e-03 1.95118e-03 -1.39081e-02 9.31734e-06 1.65025e-05 4.11824e-06 5.19765e-06 2.53064e-05 -2.22174e-05 -3.04432e-09 -1.70204e-08 3.26123e-09 -6.61560e-09 4.37720e-09 5.95268e-09 -2.85342e-09 5.43954e-09 2.88913e-08 -1.09553e-08

# precision: tgt 5.00e-03 max 2.07e-02 (414.7%) avg 1.67e-03 (33.4%)

-8.57646e-01 -7.20596e-03 -9.57735e-03 -4.03696e-02 1.03447e-05 1.18252e-05 -1.56720e-05 1.37104e-05 -2.23343e-05 -8.55524e-05 2.81023e-09 3.99897e-09 2.71784e-08 2.19240e-09 2.82772e-08 -1.74230e-10 8.17087e-10 2.99224e-08 -5.73712e-09 -5.53593e-08

#cal5k_z0_q2

4 0 1 20

# precision: tgt 5.00e-03 max 1.84e-02 (368.2%) avg 1.98e-03 (39.6%)

2.70645e+00 6.05027e-03 -3.79974e-03 1.21786e-02 1.50016e-06 3.47487e-06 2.61131e-05 -1.39440e-06 -2.01474e-05 1.32789e-05 9.11229e-10 -3.31630e-09 -3.43590e-09 -2.67890e-09 7.29734e-09 2.92421e-08 -1.75820e-09 -4.12609e-09 -2.27698e-08 1.36717e-09

# precision: tgt 5.00e-03 max 3.77e-02 (754.9%) avg 3.29e-03 (65.8%)

-2.47575e+00 2.31258e-03 3.20022e-03 -1.64006e-02 7.69451e-06 -1.65969e-05 -1.15391e-05 6.09360e-06 3.11815e-05 -2.33361e-05 1.83034e-09 -1.60338e-08 2.49245e-09 7.88373e-09 -3.90902e-09 -1.26604e-08 -3.25217e-09 5.88917e-09 3.46018e-08 -9.35136e-09

# precision: tgt 5.00e-03 max 1.26e-02 (251.3%) avg 1.55e-03 (31.1%)

-2.19238e+00 6.14425e-03 -8.26118e-03 -4.64668e-02 1.41543e-05 -1.48316e-05 6.69059e-06 1.42736e-05 -1.56102e-05 -9.27228e-05 1.16339e-09 -2.80345e-09 2.48610e-08 1.96947e-09 -2.25954e-08 -5.73784e-09 -7.31769e-12 2.74315e-08 -2.42595e-09 -5.80683e-08

#cal5k_z0_q3

4 0 2 20

# precision: tgt 5.00e-03 max 1.86e-02 (372.2%) avg 2.53e-03 (50.5%)

-1.36876e+00 6.08532e-04 -9.13290e-04 -7.44228e-03 -1.68606e-06 -3.94011e-06 7.55728e-06 -2.58699e-07 -3.73716e-07 -1.62895e-05 -1.88078e-09 -4.76095e-10 -4.29889e-09 -3.01699e-09 -5.14884e-09 1.14737e-08 2.26629e-09 -3.65364e-09 2.05126e-09 -1.21529e-08

# precision: tgt 5.00e-03 max 1.86e-02 (372.3%) avg 2.91e-03 (58.2%)

1.29197e+00 8.64551e-03 6.96126e-03 -1.70442e-03 6.73093e-06 1.01402e-05 2.16092e-05 2.48429e-06 1.84755e-05 -1.59724e-05 6.62558e-09 4.27556e-09 -7.81992e-11 8.55595e-09 5.33965e-09 1.73300e-08 -1.46246e-09 -2.12641e-09 1.70952e-08 -1.63805e-08

# precision: tgt 5.00e-03 max 2.98e-02 (596.8%) avg 4.35e-03 (87.1%)

-3.51622e+00 -3.29739e-03 -1.27413e-03 -4.82516e-02 2.99243e-06 5.28982e-06 -1.86619e-05 3.17689e-06 -1.14637e-05 -8.57031e-05 8.03661e-10 2.98073e-09 4.00614e-09 5.81456e-09 -5.83912e-10 -1.88917e-08 1.45553e-09 1.93246e-09 -1.06075e-08 -4.81908e-08

#cal5k_z0_q4

4 0 3 20

# precision: tgt 5.00e-03 max 2.13e-02 (425.5%) avg 4.45e-03 (89.0%)

3.66056e+00 -1.60863e-03 9.63123e-04 1.96166e-02 4.43094e-06 -4.95118e-06 2.14072e-06 -9.76933e-07 1.58271e-06 3.80163e-05 -3.25993e-09 1.86174e-09 7.37600e-09 -1.65836e-09 -7.60812e-09 8.56777e-09 -3.43806e-09 4.02880e-09 -1.79877e-09 2.55038e-08

# precision: tgt 5.00e-03 max 2.96e-02 (592.0%) avg 4.13e-03 (82.5%)

-1.85763e+00 2.66140e-05 6.73431e-04 -1.13869e-02 -7.38519e-06 1.03365e-05 -1.62281e-05 -4.70585e-06 1.45420e-05 -3.20308e-05 1.92957e-09 -1.57495e-08 -1.22610e-09 4.55283e-09 -4.77969e-09 -1.29179e-08 -4.77912e-09 -2.82503e-09 1.39070e-08 -2.51916e-08

# precision: tgt 5.00e-03 max 3.15e-02 (630.3%) avg 4.55e-03 (91.0%)

1.14459e+00 3.13304e-03 -3.67462e-04 -2.24438e-02 1.34597e-08 -4.03598e-06 1.50300e-05 2.63172e-06 -7.24900e-06 -3.87236e-05 1.46025e-09 -4.55633e-10 3.40842e-09 -4.31511e-09 -2.27594e-09 1.60512e-08 1.17924e-09 2.19803e-09 -7.79117e-09 -1.92681e-08

#cal5k_z1_q1

4 1 0 20

# precision: tgt 5.00e-03 max 1.92e-02 (383.6%) avg 3.00e-03 (60.1%)

4.68720e-01 -7.89464e-03 -7.51576e-03 -6.28178e-03 1.44833e-05 2.45129e-05 1.45552e-07 9.21494e-06 -4.93319e-06 -1.44746e-05 -4.73592e-09 -1.38640e-08 1.52180e-08 -1.31518e-08 1.64725e-08 1.11968e-08 7.95495e-10 1.11589e-08 2.82207e-09 -9.24266e-09

# precision: tgt 5.00e-03 max 3.26e-02 (652.2%) avg 2.83e-03 (56.5%)

-1.44407e+00 -4.35840e-03 -1.89545e-03 -1.22564e-02 9.22260e-06 1.19202e-05 -9.43509e-08 6.30662e-06 6.58136e-06 -2.32736e-05 -1.06144e-09 -9.75094e-09 1.10524e-08 -1.19402e-09 9.94188e-09 5.66498e-09 -8.16119e-10 1.39659e-08 1.44244e-08 -1.41861e-08

# precision: tgt 5.00e-03 max 1.02e-02 (203.0%) avg 1.69e-03 (33.8%)

4.55087e+00 1.04208e-03 -1.42818e-04 6.00048e-04 -1.60547e-06 -9.34329e-06 -7.62284e-06 5.51540e-07 -1.03548e-05 1.42370e-07 3.94110e-09 1.15262e-08 1.07230e-08 9.39815e-09 4.47868e-09 -6.14617e-09 3.12328e-09 1.22196e-08 -8.48011e-09 5.72187e-11

#cal5k_z1_q2

4 1 1 20

# precision: tgt 5.00e-03 max 1.05e-02 (210.4%) avg 2.01e-03 (40.2%)

5.17836e-01 -2.12521e-03 3.39280e-03 6.20357e-03 -4.29700e-06 6.97952e-06 1.91930e-07 -3.98458e-06 5.82430e-06 1.45959e-05 2.45843e-10 -2.40646e-09 -1.33009e-08 -1.14400e-09 1.54637e-08 9.56643e-09 -2.08692e-09 -1.11630e-08 -1.53243e-09 9.94545e-09

# precision: tgt 5.00e-03 max 3.20e-02 (640.3%) avg 2.45e-03 (48.9%)

-2.50556e+00 3.45106e-03 -1.51448e-03 -1.84297e-02 6.92176e-06 -1.03474e-05 -2.88698e-07 5.87611e-06 6.83317e-06 -3.62333e-05 -6.79440e-10 -6.85702e-09 1.09439e-08 3.13156e-12 -1.12277e-08 -6.50752e-09 -3.41916e-10 1.47244e-08 1.55632e-08 -2.29172e-08

# precision: tgt 5.00e-03 max 9.47e-03 (189.5%) avg 1.71e-03 (34.2%)

5.16399e+00 -1.37826e-03 1.43571e-04 4.85510e-03 -7.99301e-07 9.03214e-06 5.49318e-06 3.03137e-07 -9.46210e-06 1.00743e-05 -2.67898e-09 9.45695e-09 9.18029e-09 -8.55573e-09 -1.74487e-09 5.58173e-09 3.07929e-09 1.11002e-08 -9.15336e-09 7.10930e-09

#cal5k_z1_q3

4 1 2 20

# precision: tgt 5.00e-03 max 1.05e-02 (210.0%) avg 1.58e-03 (31.5%)

1.34345e-01 -2.18955e-03 -2.85884e-03 2.43112e-03 -6.87216e-06 -7.06445e-06 1.67870e-06 -4.38899e-06 -4.40943e-06 4.73579e-06 -1.90757e-09 -1.59261e-09 -1.36741e-08 -3.36693e-09 -9.80954e-09 9.74416e-09 1.63904e-09 -1.09081e-08 1.07907e-09 2.69392e-09

# precision: tgt 5.00e-03 max 2.76e-02 (551.1%) avg 2.73e-03 (54.6%)

5.99221e-01 1.15941e-03 1.01767e-03 1.07000e-03 2.03710e-06 4.00099e-06 -1.33670e-06 -2.03992e-06 2.50394e-06 4.12801e-07 5.00104e-09 3.39415e-09 -6.84023e-09 6.99657e-09 -4.38356e-09 -1.15886e-10 -9.15766e-10 -1.06381e-08 7.57662e-09 1.51540e-10

# precision: tgt 5.00e-03 max 1.57e-02 (313.3%) avg 2.36e-03 (47.2%)

5.02969e+00 -1.97360e-03 -7.62685e-04 3.51298e-03 1.17304e-06 -1.88532e-06 -5.19779e-06 2.82188e-06 -2.20310e-06 1.26580e-05 -1.71014e-09 -4.50222e-09 9.11337e-09 -2.57198e-09 4.21486e-09 -8.08200e-09 -3.65585e-10 9.94383e-09 -5.49481e-09 1.43376e-08

#cal5k_z1_q4

4 1 3 20

# precision: tgt 5.00e-03 max 2.20e-02 (439.8%) avg 3.49e-03 (69.8%)

-3.55416e-01 -3.45878e-03 2.99126e-03 -4.51003e-03 9.17622e-06 -8.10876e-06 -5.12297e-07 3.65034e-06 5.46290e-06 -9.97654e-06 -3.45275e-09 3.65851e-09 1.51856e-08 -2.78435e-09 -1.06636e-08 8.62457e-09 -2.49206e-09 1.12810e-08 -4.26703e-10 -6.72884e-09

# precision: tgt 5.00e-03 max 2.98e-02 (596.6%) avg 3.87e-03 (77.3%)

3.29116e-01 5.66375e-03 -4.11333e-03 6.69308e-03 -1.20803e-05 1.63206e-05 -4.00673e-07 -9.09419e-06 2.74384e-06 1.13797e-05 4.12164e-09 -1.80649e-08 -6.16644e-09 7.16072e-09 1.71850e-09 -4.05649e-10 -4.39517e-09 -1.01339e-08 6.68389e-09 7.85543e-09

# precision: tgt 5.00e-03 max 1.68e-02 (335.4%) avg 2.51e-03 (50.3%)

4.03738e+00 1.73472e-03 -3.85825e-04 -2.88815e-03 1.27091e-06 7.34827e-07 4.99978e-06 3.75008e-06 -2.08760e-06 -6.94100e-07 2.04643e-09 -4.62259e-09 9.85689e-09 2.00283e-09 -6.36537e-09 8.63598e-09 -1.49530e-10 1.13464e-08 -6.56851e-09 5.31520e-09

#cal5k_z10_q1

4 10 0 20

# precision: tgt 5.00e-03 max 1.63e-02 (325.5%) avg 2.16e-03 (43.3%)

8.39320e-01 -4.47114e-03 -3.42451e-03 3.75348e-05 7.57539e-06 1.33817e-05 1.58801e-06 3.87893e-06 4.62053e-07 4.84210e-08 -4.04097e-09 -1.23837e-08 -6.88321e-10 -8.77003e-09 -7.89379e-10 -1.22040e-09 -9.31423e-10 -1.13837e-09 -2.78510e-10 -3.33469e-09

# precision: tgt 5.00e-03 max 2.24e-02 (449.0%) avg 2.21e-03 (44.2%)

5.58482e-01 -2.57883e-03 -1.46606e-03 9.15627e-05 3.28995e-06 5.93165e-06 1.22008e-07 -1.58487e-07 1.77800e-06 8.25202e-07 -7.07497e-10 -5.74321e-09 -5.14018e-10 -8.30630e-10 -4.52796e-10 -1.16801e-09 1.37383e-09 -9.38149e-10 -3.98905e-10 5.56696e-09

# precision: tgt 5.00e-03 max 5.04e-03 (100.7%) avg 5.41e-04 (10.8%)

5.13137e+00 -3.26549e-04 -3.06499e-04 1.85378e-04 8.73750e-07 1.25594e-06 -6.84086e-08 1.02246e-06 -2.62261e-07 -1.13783e-06 -1.35167e-10 -1.12589e-09 -1.91502e-10 -1.04410e-09 6.33464e-10 2.23422e-09 -3.49190e-10 -3.52026e-10 -2.14143e-10 -9.91560e-10

#cal5k_z10_q2

4 10 1 20

# precision: tgt 5.00e-03 max 1.25e-02 (250.4%) avg 1.78e-03 (35.6%)

-2.29794e-01 -1.20913e-03 6.39688e-04 2.27828e-04 -2.07633e-06 2.71957e-06 2.49739e-06 -9.01395e-08 -8.62119e-07 1.54977e-07 -1.09799e-09 2.72947e-09 1.28631e-09 -6.49688e-10 -1.71973e-09 1.10643e-09 -4.76398e-10 8.48924e-10 -6.96616e-10 -5.87306e-09

# precision: tgt 5.00e-03 max 2.14e-02 (427.1%) avg 1.85e-03 (36.9%)

5.49922e-01 2.50225e-03 -1.53967e-03 3.84317e-04 3.09257e-06 -6.10139e-06 8.33961e-07 2.52219e-07 5.42510e-07 -7.90120e-07 5.54045e-10 -5.70964e-09 1.87338e-10 1.39070e-09 -1.56493e-09 -1.37046e-09 9.10513e-10 1.43303e-10 9.61037e-10 -1.08620e-10

# precision: tgt 5.00e-03 max 3.96e-03 (79.2%) avg 3.79e-04 (7.6%)

5.13721e+00 4.39070e-04 -3.41374e-04 5.18090e-05 1.31983e-06 -1.51012e-06 -2.93158e-07 1.08536e-06 8.41212e-08 -1.10884e-06 5.67971e-10 -1.53470e-09 -4.83268e-10 1.20770e-09 1.10670e-10 -2.48203e-09 -3.72620e-10 -4.45618e-10 -4.21305e-11 6.75749e-10

#cal5k_z10_q3

4 10 2 20

# precision: tgt 5.00e-03 max 5.01e-03 (100.3%) avg 1.04e-03 (20.7%)

6.58050e-02 4.85984e-04 6.80226e-04 -1.50148e-04 1.10319e-06 2.37457e-06 1.40872e-06 1.73593e-06 -1.50168e-07 -6.09093e-07 8.34080e-10 2.17241e-09 7.60254e-10 2.77789e-09 -1.31946e-10 -1.48808e-09 1.26669e-09 3.51447e-10 -1.29110e-09 1.71376e-09

# precision: tgt 5.00e-03 max 3.05e-02 (610.6%) avg 2.70e-03 (54.0%)

-1.77351e-01 -1.95238e-05 -4.90845e-04 1.70171e-04 2.24921e-06 -7.49689e-07 5.18662e-07 2.67586e-07 2.17408e-06 4.78152e-07 3.12323e-09 9.47611e-10 5.59828e-10 8.11051e-11 1.25131e-09 1.03399e-09 9.19554e-10 1.10104e-09 -8.34840e-11 1.34150e-09

# precision: tgt 5.00e-03 max 5.35e-03 (106.9%) avg 9.36e-04 (18.7%)

5.12789e+00 2.60906e-04 3.41168e-04 4.09048e-04 8.05725e-07 8.95776e-07 1.72546e-07 8.83210e-07 1.85628e-07 1.81776e-06 2.00188e-10 5.94496e-10 -1.17847e-09 7.89148e-10 -1.30162e-10 3.99754e-09 2.32936e-10 -1.03626e-09 4.38924e-09 -8.48091e-10

#cal5k_z10_q4

4 10 3 20

# precision: tgt 5.00e-03 max 1.54e-02 (308.8%) avg 2.82e-03 (56.5%)

2.82607e-01 -1.79880e-03 6.36997e-04 6.90699e-05 3.57512e-06 -4.03517e-06 1.50726e-06 -5.56427e-07 -2.92892e-08 3.06506e-07 -2.23921e-09 5.06486e-09 -5.01284e-10 -8.48282e-10 1.27053e-10 -7.29828e-10 -1.25974e-09 -4.73462e-10 1.10742e-09 -4.04765e-10

# precision: tgt 5.00e-03 max 2.93e-02 (585.5%) avg 3.82e-03 (76.4%)

-7.05665e-01 3.99024e-03 -1.70404e-03 1.71590e-07 -7.03408e-06 8.55658e-06 8.69383e-08 5.82900e-07 1.42909e-06 1.04968e-06 3.72657e-09 -1.00006e-08 -2.01574e-11 8.38445e-10 -3.69098e-11 -1.31971e-09 1.82450e-09 4.65652e-10 -1.47304e-09 1.01713e-08

# precision: tgt 5.00e-03 max 5.36e-03 (107.2%) avg 9.47e-04 (18.9%)

5.09810e+00 -1.87274e-04 1.74460e-04 3.97745e-04 7.83808e-07 -4.91483e-07 -1.01675e-09 5.95116e-07 -5.40243e-09 2.51812e-06 -2.56148e-10 4.20857e-10 -1.33938e-09 -3.80681e-10 4.45147e-10 -5.21796e-09 8.61959e-11 -1.37295e-09 5.34541e-09 1.25017e-09

#cal5k_z11_q1

4 11 0 20

# precision: tgt 5.00e-03 max 1.36e-02 (272.8%) avg 2.13e-03 (42.5%)

9.05819e-01 -4.73104e-03 -3.99009e-03 -9.79804e-05 7.92297e-06 1.48757e-05 1.95887e-06 5.21970e-06 7.49812e-07 -3.09292e-07 -4.23926e-09 -1.32119e-08 -7.32295e-10 -1.07164e-08 -1.18565e-09 1.11998e-10 -1.86177e-09 -1.13429e-09 1.40975e-10 2.13577e-09

# precision: tgt 5.00e-03 max 2.32e-02 (463.4%) avg 2.28e-03 (45.6%)

7.82148e-01 -3.70924e-03 -2.52576e-03 -1.25238e-04 5.07497e-06 9.69771e-06 8.16961e-07 1.43254e-06 2.28496e-06 -5.03796e-07 -1.54898e-09 -8.95255e-09 -1.01266e-09 -3.79183e-09 -1.31656e-09 6.93601e-11 6.26407e-10 -1.04249e-09 -5.13298e-10 7.37978e-09

# precision: tgt 5.00e-03 max 4.08e-03 (81.5%) avg 4.48e-04 (9.0%)

5.11622e+00 -2.76898e-04 -2.49649e-04 5.54760e-05 8.63471e-07 1.07185e-06 -1.95663e-07 9.55047e-07 -2.64030e-07 -1.24318e-06 -1.96047e-10 -1.00348e-09 2.21076e-10 -9.31892e-10 4.92778e-10 -2.38527e-10 -3.09384e-10 2.58340e-10 -6.20945e-11 -4.78154e-10

#cal5k_z11_q2

4 11 1 20

# precision: tgt 5.00e-03 max 1.05e-02 (210.4%) avg 1.80e-03 (36.1%)

-3.81737e-01 -1.99173e-03 1.55974e-03 2.44286e-04 -3.40662e-06 5.80078e-06 2.63464e-06 -1.85054e-06 -1.11046e-06 5.51687e-07 -1.84934e-09 5.22700e-09 1.46864e-09 -3.65690e-09 -2.23409e-09 9.92331e-10 5.66203e-10 1.18904e-09 -6.63338e-10 4.65350e-10

# precision: tgt 5.00e-03 max 2.19e-02 (437.4%) avg 1.90e-03 (37.9%)

5.14642e-01 2.42108e-03 -1.35369e-03 1.26724e-04 3.13235e-06 -5.64209e-06 -5.31347e-08 -2.19443e-10 1.33020e-06 5.65016e-07 6.57861e-10 -5.59507e-09 -5.19775e-10 8.75205e-10 -1.07961e-10 8.89728e-10 9.56624e-10 -2.95777e-10 -3.06463e-10 -2.35037e-09

# precision: tgt 5.00e-03 max 3.52e-03 (70.4%) avg 3.49e-04 (7.0%)

5.14489e+00 5.08695e-04 -3.94965e-04 -6.06778e-05 1.48920e-06 -1.73468e-06 -1.44540e-07 1.20728e-06 1.40264e-07 -1.50043e-06 6.98831e-10 -1.77757e-09 -1.19052e-10 1.40195e-09 3.38952e-10 -2.01355e-10 -4.60921e-10 -3.95403e-11 3.17749e-10 -8.93389e-12

#cal5k_z11_q3

4 11 2 20

# precision: tgt 5.00e-03 max 4.58e-03 (91.6%) avg 1.05e-03 (21.1%)

4.51766e-02 3.50789e-04 4.99763e-04 -1.34588e-04 7.86946e-07 1.77169e-06 1.35095e-06 1.31548e-06 -2.35219e-07 4.73980e-07 5.72180e-10 1.69118e-09 5.13794e-10 2.05750e-09 -2.47724e-10 9.03667e-10 9.99949e-10 1.03294e-10 6.54064e-10 -2.80918e-09

# precision: tgt 5.00e-03 max 2.93e-02 (586.3%) avg 2.75e-03 (55.0%)

-2.46932e-01 -3.44209e-04 -8.34005e-04 1.98923e-04 1.80338e-06 -1.86302e-06 6.57234e-07 -2.86872e-07 2.10697e-06 4.21205e-08 2.98003e-09 6.23781e-11 7.05871e-10 -8.06015e-10 1.29774e-09 2.20929e-10 6.21636e-10 9.08736e-10 1.22928e-09 1.16770e-09

# precision: tgt 5.00e-03 max 6.37e-03 (127.3%) avg 1.07e-03 (21.3%)

5.14837e+00 4.08718e-04 4.46903e-04 -1.81833e-04 1.17242e-06 1.39619e-06 1.18061e-06 1.06431e-06 4.66464e-07 -1.37991e-07 5.02535e-10 1.16133e-09 2.70709e-09 1.20238e-09 1.20371e-09 -2.50021e-10 3.54585e-10 1.99098e-09 2.22892e-09 -2.79073e-09

#cal5k_z11_q4

4 11 3 20

# precision: tgt 5.00e-03 max 1.61e-02 (321.2%) avg 2.97e-03 (59.3%)

3.22156e-01 -1.96471e-03 7.94777e-04 -1.63836e-04 3.77489e-06 -4.50702e-06 2.20415e-06 -4.19228e-07 -8.02883e-07 -3.10843e-07 -2.29909e-09 5.33064e-09 -9.32940e-10 -1.13560e-09 1.37131e-09 1.57692e-10 -1.29715e-09 -1.00882e-09 -3.18302e-10 3.68192e-09

# precision: tgt 5.00e-03 max 3.00e-02 (599.4%) avg 3.88e-03 (77.6%)

-8.05894e-01 4.53701e-03 -2.18891e-03 2.72367e-04 -7.97120e-06 1.03399e-05 -8.69411e-07 -2.04210e-07 2.27214e-06 -1.28137e-06 4.21192e-09 -1.16305e-08 8.50031e-10 2.21338e-09 -1.50694e-09 1.72946e-09 1.38055e-09 9.86754e-10 -6.29380e-10 5.03225e-09

# precision: tgt 5.00e-03 max 4.59e-03 (91.8%) avg 8.84e-04 (17.7%)

5.09683e+00 -1.29948e-04 1.68055e-04 -8.56595e-05 5.36840e-07 -3.59296e-07 2.81318e-07 5.37043e-07 -2.99472e-07 -1.21924e-06 1.76979e-11 1.72005e-10 -1.64626e-10 -2.49555e-10 4.50747e-10 -9.58022e-11 -7.50949e-12 -2.62299e-10 4.15075e-10 -1.93634e-09

#cal5k_z12_q1

4 12 0 20

# precision: tgt 5.00e-03 max 1.28e-02 (255.7%) avg 2.10e-03 (42.0%)

9.45558e-01 -4.85899e-03 -4.28603e-03 -1.75869e-04 8.06939e-06 1.56455e-05 1.78574e-06 5.87864e-06 6.05766e-07 1.59346e-06 -4.31836e-09 -1.35935e-08 -7.07396e-10 -1.17511e-08 -7.86856e-10 2.43795e-10 -2.28669e-09 -8.60550e-10 -9.71667e-10 -5.29263e-09

# precision: tgt 5.00e-03 max 2.35e-02 (470.6%) avg 2.31e-03 (46.1%)

9.04508e-01 -4.30503e-03 -3.10241e-03 -2.67387e-04 5.98279e-06 1.17012e-05 9.03423e-07 2.35713e-06 2.23148e-06 1.49454e-06 -1.93931e-09 -1.06638e-08 -9.46647e-10 -5.38785e-09 -1.22950e-09 -1.04747e-09 1.14876e-10 -9.10833e-10 -1.86942e-10 -3.92662e-09

# precision: tgt 5.00e-03 max 4.15e-03 (82.9%) avg 4.07e-04 (8.1%)

5.12025e+00 -3.11956e-04 -2.65251e-04 6.30284e-06 9.68157e-07 1.16222e-06 -4.43422e-08 9.70319e-07 -1.19414e-07 -1.53924e-06 -3.03228e-10 -1.11498e-09 1.89537e-10 -9.99167e-10 1.82241e-10 -7.41025e-11 -3.11758e-10 2.48279e-10 7.97143e-11 8.21595e-10

#cal5k_z12_q2

4 12 1 20

# precision: tgt 5.00e-03 max 9.75e-03 (195.0%) avg 1.80e-03 (35.9%)

-4.89422e-01 -2.50168e-03 2.11816e-03 1.56769e-04 -4.19200e-06 7.67700e-06 2.21384e-06 -2.76530e-06 -5.90722e-07 -2.88135e-07 -2.25051e-09 6.69447e-09 1.09369e-09 -5.36758e-09 -1.23948e-09 7.24808e-11 1.01278e-09 6.52192e-10 2.46697e-10 1.81022e-10

# precision: tgt 5.00e-03 max 2.23e-02 (445.8%) avg 1.93e-03 (38.7%)

4.80710e-01 2.30690e-03 -1.10163e-03 1.61004e-04 3.03933e-06 -5.03925e-06 3.02815e-07 -4.98747e-07 7.88779e-07 1.06466e-06 6.42578e-10 -5.36679e-09 -6.55788e-11 1.39595e-10 -8.91208e-10 1.00693e-09 1.23787e-09 1.15124e-10 8.67478e-10 -2.98132e-09

# precision: tgt 5.00e-03 max 3.78e-03 (75.6%) avg 3.55e-04 (7.1%)

5.14697e+00 4.74341e-04 -3.71196e-04 -1.17133e-04 1.33545e-06 -1.59085e-06 -2.60379e-07 1.09378e-06 2.02016e-07 -1.22189e-06 5.50652e-10 -1.56098e-09 -1.02987e-10 1.23177e-09 4.30109e-10 3.32897e-10 -3.47611e-10 5.32900e-11 -1.30130e-10 7.13771e-11

#cal5k_z12_q3

4 12 2 20

# precision: tgt 5.00e-03 max 5.34e-03 (106.9%) avg 1.10e-03 (22.0%)

1.94906e-02 2.58937e-04 3.66467e-04 -2.22754e-05 6.88833e-07 1.41547e-06 1.59860e-06 1.11331e-06 5.11818e-08 -3.72439e-07 5.26467e-10 1.50294e-09 4.95647e-10 1.69119e-09 -1.05812e-10 -7.68627e-10 9.27982e-10 2.03303e-10 -9.65484e-10 -6.20379e-10

# precision: tgt 5.00e-03 max 3.01e-02 (602.3%) avg 2.77e-03 (55.4%)

-3.04320e-01 -6.29970e-04 -1.12214e-03 3.44015e-05 1.37884e-06 -2.85797e-06 2.00270e-07 -7.21086e-07 1.84802e-06 4.19075e-07 2.81840e-09 -7.51070e-10 5.12992e-10 -1.60579e-09 7.16882e-10 1.01029e-09 4.31544e-10 8.00258e-10 4.09947e-10 8.27009e-11

# precision: tgt 5.00e-03 max 5.99e-03 (119.7%) avg 1.07e-03 (21.5%)

5.13184e+00 3.11523e-04 3.58602e-04 -6.27532e-05 7.82599e-07 8.60286e-07 -1.38247e-07 8.31345e-07 -4.13825e-07 -7.15895e-07 -6.12038e-11 4.49392e-10 -7.36871e-10 5.23796e-10 -1.55900e-10 -5.59791e-10 8.28267e-11 -6.19617e-10 2.18911e-09 1.11391e-09

#cal5k_z12_q4

4 12 3 20

# precision: tgt 5.00e-03 max 1.64e-02 (328.3%) avg 3.10e-03 (62.1%)

3.67121e-01 -2.17355e-03 1.03756e-03 9.77716e-06 4.05642e-06 -5.26786e-06 2.01853e-06 -2.47332e-08 -5.43520e-07 -1.76040e-06 -2.41667e-09 5.86662e-09 -7.74534e-10 -1.83230e-09 9.08877e-10 1.56287e-10 -1.09561e-09 -6.61615e-10 1.48453e-10 8.29319e-09

# precision: tgt 5.00e-03 max 3.10e-02 (620.3%) avg 3.99e-03 (79.8%)

-8.50511e-01 4.77671e-03 -2.42087e-03 2.37091e-05 -8.32972e-06 1.11563e-05 -5.30614e-07 -6.13904e-07 1.81291e-06 1.65468e-06 4.34852e-09 -1.23526e-08 5.51754e-10 2.89466e-09 -7.25516e-10 6.85219e-10 1.10375e-09 4.66017e-10 -1.55049e-10 -9.04172e-09

# precision: tgt 5.00e-03 max 4.77e-03 (95.4%) avg 8.79e-04 (17.6%)

5.10251e+00 -2.11937e-04 2.45612e-04 4.83566e-05 7.83282e-07 -7.00259e-07 -8.01248e-08 7.69372e-07 3.66625e-09 -1.85805e-06 -1.89913e-10 5.72554e-10 7.14610e-11 -6.21100e-10 -5.41340e-11 5.42576e-10 1.90334e-10 -1.51296e-10 -2.71017e-10 5.35237e-10

#cal5k_z13_q1

4 13 0 20

# precision: tgt 5.00e-03 max 1.34e-02 (268.5%) avg 2.08e-03 (41.7%)

9.38826e-01 -4.98243e-03 -4.52878e-03 8.38958e-04 8.38253e-06 1.65417e-05 6.21032e-07 6.51584e-06 -4.98993e-07 -4.85784e-06 -4.56786e-09 -1.42977e-08 -1.97003e-10 -1.29041e-08 2.32180e-10 2.88488e-09 -2.71694e-09 -3.31837e-10 1.78944e-09 1.00533e-08

# precision: tgt 5.00e-03 max 2.37e-02 (474.8%) avg 2.37e-03 (47.5%)

1.06544e+00 -5.19629e-03 -3.96185e-03 1.44634e-04 7.41192e-06 1.47569e-05 7.36997e-07 3.72164e-06 2.05961e-06 -1.88986e-06 -2.62541e-09 -1.32407e-08 -9.61018e-10 -7.77305e-09 -1.70147e-09 2.64346e-10 -5.33895e-10 -1.35097e-09 2.10307e-09 4.00016e-09

# precision: tgt 5.00e-03 max 4.14e-03 (82.9%) avg 4.25e-04 (8.5%)

5.10781e+00 -3.63789e-04 -2.89080e-04 5.40912e-04 1.08853e-06 1.37425e-06 -4.63410e-07 9.47563e-07 -4.50766e-07 -4.54054e-06 -3.97457e-10 -1.31933e-09 3.99291e-10 -1.15161e-09 3.51800e-10 1.48082e-09 -2.77355e-10 8.15134e-10 2.79548e-10 4.57214e-09

#cal5k_z13_q2

4 13 1 20

# precision: tgt 5.00e-03 max 9.76e-03 (195.1%) avg 1.84e-03 (36.8%)

-5.18668e-01 -2.70142e-03 2.40119e-03 -5.83296e-04 -4.55169e-06 8.75257e-06 6.43638e-07 -3.23365e-06 2.92474e-07 3.71207e-06 -2.48350e-09 7.60949e-09 -1.06882e-10 -6.41583e-09 -1.83713e-12 3.11519e-09 1.22161e-09 -4.67892e-12 -1.17057e-09 -7.49609e-09

# precision: tgt 5.00e-03 max 2.28e-02 (456.3%) avg 1.96e-03 (39.3%)

4.32661e-01 2.19452e-03 -8.65789e-04 7.57566e-04 2.90675e-06 -4.54363e-06 8.26526e-07 -1.02182e-06 3.06971e-07 -3.59754e-06 6.00853e-10 -5.22983e-09 6.32682e-10 -5.07543e-10 -1.49174e-09 2.72165e-10 1.56864e-09 6.30428e-10 1.47962e-09 9.77238e-09

# precision: tgt 5.00e-03 max 4.15e-03 (83.0%) avg 4.18e-04 (8.4%)

5.12012e+00 4.21899e-04 -3.32853e-04 3.56018e-04 1.26397e-06 -1.47643e-06 3.09030e-07 1.03379e-06 -2.11222e-07 -3.18766e-06 5.16214e-10 -1.53716e-09 3.41882e-10 1.20764e-09 -6.26308e-10 -2.30846e-10 -3.12725e-10 3.97826e-10 1.41170e-10 1.18742e-09

#cal5k_z13_q3

4 13 2 20

# precision: tgt 5.00e-03 max 6.17e-03 (123.3%) avg 1.22e-03 (24.3%)

-4.65313e-02 1.61655e-05 -1.73964e-06 8.19024e-05 3.72927e-07 3.71890e-07 1.64646e-06 4.65268e-07 4.82029e-07 9.77441e-08 3.82849e-10 8.86396e-10 6.91750e-10 7.11647e-10 1.09636e-09 1.67083e-09 5.56173e-10 5.74414e-10 4.02230e-10 4.14427e-10

# precision: tgt 5.00e-03 max 3.15e-02 (630.7%) avg 2.79e-03 (55.9%)

-4.11655e-01 -1.31504e-03 -1.70082e-03 -6.39758e-04 3.33878e-07 -5.03719e-06 3.72470e-07 -1.53958e-06 1.40551e-06 5.76161e-06 2.34443e-09 -2.63231e-09 4.40124e-10 -3.24189e-09 4.51717e-10 -5.72358e-10 1.15172e-10 6.32625e-10 1.18621e-09 -1.59627e-08

# precision: tgt 5.00e-03 max 5.81e-03 (116.2%) avg 1.05e-03 (20.9%)

5.05820e+00 5.82110e-04 5.89086e-04 2.31528e-03 1.47445e-06 1.78447e-06 -1.09936e-06 1.43129e-06 -4.74370e-07 -1.98005e-05 6.75795e-10 1.38303e-09 -7.74560e-10 1.42332e-09 -1.70795e-09 1.16383e-09 4.68945e-10 -1.93063e-09 -3.77747e-09 4.22096e-08

#cal5k_z13_q4

4 13 3 20

# precision: tgt 5.00e-03 max 1.71e-02 (341.2%) avg 3.19e-03 (63.7%)

4.04598e-01 -2.28881e-03 1.18168e-03 -2.41091e-05 4.16127e-06 -5.80494e-06 1.54679e-06 1.48006e-07 -1.12497e-07 -5.18836e-07 -2.42426e-09 6.17575e-09 -4.83218e-10 -2.24298e-09 1.16590e-09 2.05044e-09 -1.06794e-09 -4.44004e-10 -1.84129e-09 -1.10384e-10

# precision: tgt 5.00e-03 max 3.09e-02 (617.3%) avg 4.03e-03 (80.6%)

-9.57693e-01 5.53816e-03 -3.03552e-03 -7.57017e-04 -9.71274e-06 1.37309e-05 3.56999e-07 -1.62872e-06 5.72428e-07 5.05792e-06 5.11297e-09 -1.48605e-08 -1.16494e-10 4.90789e-09 5.28042e-10 -8.05689e-11 5.87195e-10 8.94270e-12 2.22159e-09 -1.27140e-08

# precision: tgt 5.00e-03 max 4.92e-03 (98.4%) avg 8.14e-04 (16.3%)

5.04862e+00 1.15247e-04 -4.39905e-05 -4.82593e-05 3.63384e-07 1.46131e-07 -1.69062e-06 3.60642e-07 1.03037e-06 2.40874e-06 -8.54335e-11 1.14113e-10 1.83431e-09 -1.24568e-10 -2.84058e-09 -1.77313e-10 -2.56540e-11 6.75758e-10 1.04012e-09 -1.05171e-08

#cal5k_z14_q1

4 14 0 20

# precision: tgt 5.00e-03 max 1.28e-02 (256.0%) avg 2.11e-03 (42.3%)

1.06108e+00 -5.40711e-03 -4.96943e-03 -2.87429e-04 8.98006e-06 1.78129e-05 2.21385e-06 7.29289e-06 5.29500e-07 1.07127e-06 -5.00452e-09 -1.53241e-08 -2.10462e-10 -1.41563e-08 -4.20440e-10 -1.52615e-09 -3.25895e-09 -3.85832e-10 -7.52338e-10 -1.34536e-09

# precision: tgt 5.00e-03 max 2.49e-02 (498.1%) avg 2.48e-03 (49.6%)

1.20216e+00 -5.65613e-03 -4.42302e-03 -6.55255e-04 8.13920e-06 1.63206e-05 6.56852e-07 4.33855e-06 2.43509e-06 2.98712e-06 -3.06949e-09 -1.47361e-08 -2.09553e-10 -9.19325e-09 -6.08149e-10 -1.10533e-09 -9.09343e-10 -3.28666e-10 -1.49020e-09 -4.78895e-09

# precision: tgt 5.00e-03 max 3.84e-03 (76.8%) avg 4.03e-04 (8.1%)

5.13521e+00 -3.59968e-04 -2.69740e-04 -6.10003e-05 1.12253e-06 1.33490e-06 -3.87584e-07 9.36230e-07 -5.63054e-07 -7.04358e-07 -4.84964e-10 -1.36942e-09 6.61746e-10 -1.16336e-09 8.07471e-10 -7.46946e-12 -2.24188e-10 6.35443e-10 3.87735e-10 -2.06876e-09

#cal5k_z14_q2

4 14 1 20

# precision: tgt 5.00e-03 max 1.01e-02 (201.2%) avg 1.81e-03 (36.1%)

-5.99545e-01 -3.32466e-03 2.89416e-03 -6.33333e-04 -5.43237e-06 1.04200e-05 2.69264e-06 -4.08707e-06 -8.26321e-08 4.01978e-06 -2.98876e-09 9.00467e-09 3.58738e-10 -7.84515e-09 -5.57448e-10 -2.45224e-09 1.69272e-09 3.20561e-10 -7.93164e-10 -7.24721e-09

# precision: tgt 5.00e-03 max 2.30e-02 (459.1%) avg 2.06e-03 (41.2%)

5.83298e-01 2.67976e-03 -1.29955e-03 -6.05675e-04 3.60374e-06 -5.63284e-06 -6.90958e-07 -6.85760e-07 2.66743e-06 2.81959e-06 9.54468e-10 -6.18022e-09 -1.11694e-10 2.59510e-11 1.03378e-10 1.79725e-09 1.46472e-09 -5.38514e-11 -3.09889e-09 -3.83195e-09

# precision: tgt 5.00e-03 max 4.19e-03 (83.7%) avg 4.13e-04 (8.3%)

5.14008e+00 3.95438e-04 -2.97566e-04 -3.62294e-05 1.12749e-06 -1.32605e-06 -5.89784e-08 8.96796e-07 5.14884e-08 -1.86036e-06 3.91208e-10 -1.25062e-09 7.75766e-11 9.44965e-10 2.89498e-10 -1.87059e-10 -1.93068e-10 2.36327e-10 1.38860e-10 3.65294e-10

#cal5k_z14_q3

4 14 2 20

# precision: tgt 5.00e-03 max 7.16e-03 (143.3%) avg 1.33e-03 (26.6%)

-2.54521e-02 -1.79286e-04 -1.70851e-04 -8.36515e-04 2.31478e-07 -2.69150e-07 2.27870e-06 2.70087e-09 -4.08760e-07 4.41755e-06 2.75234e-10 3.12474e-10 -1.36137e-10 -2.12623e-10 -5.11559e-10 -3.02875e-09 1.88785e-10 -3.16686e-10 3.02887e-10 -8.51265e-09

# precision: tgt 5.00e-03 max 3.18e-02 (636.0%) avg 2.86e-03 (57.2%)

-5.12574e-01 -1.95751e-03 -2.41085e-03 -1.09609e-03 -5.01613e-07 -7.07675e-06 7.69286e-07 -2.34964e-06 2.88140e-06 7.67459e-06 1.98319e-09 -4.21216e-09 2.17731e-10 -4.76252e-09 9.03183e-10 -1.14540e-09 -1.83116e-10 7.46041e-10 -2.56707e-09 -1.54822e-08

# precision: tgt 5.00e-03 max 5.19e-03 (103.8%) avg 9.22e-04 (18.4%)

5.05027e+00 1.48847e-05 9.07450e-05 3.76374e-04 7.61884e-07 5.44390e-07 1.73938e-06 7.50877e-07 1.29577e-06 -1.35983e-06 3.14920e-10 6.25383e-10 7.54165e-10 7.49732e-10 1.48481e-09 -2.48437e-09 2.64757e-10 3.55753e-10 -1.72592e-09 -2.55769e-09

#cal5k_z14_q4

4 14 3 20

# precision: tgt 5.00e-03 max 1.60e-02 (320.0%) avg 3.22e-03 (64.3%)

5.83357e-01 -2.74640e-03 1.64397e-03 -1.34647e-03 4.49449e-06 -6.92984e-06 3.04363e-06 5.88336e-07 -1.22630e-06 5.44018e-06 -2.45653e-09 6.85968e-09 -5.01533e-10 -3.10531e-09 1.15786e-09 -2.45687e-09 -9.58214e-10 -2.77420e-10 1.95638e-09 -8.21580e-09

# precision: tgt 5.00e-03 max 3.16e-02 (631.4%) avg 4.06e-03 (81.2%)

-1.26691e+00 6.56962e-03 -4.00239e-03 1.19867e-03 -1.11094e-05 1.65921e-05 -1.27865e-06 -2.72251e-06 2.80348e-06 -4.40517e-06 5.75557e-09 -1.71585e-08 3.39726e-10 6.89046e-09 -8.12403e-10 2.11404e-09 1.05827e-10 1.78145e-10 -2.91630e-09 5.95609e-09

# precision: tgt 5.00e-03 max 5.12e-03 (102.4%) avg 6.48e-04 (13.0%)

5.02312e+00 2.45360e-04 -2.39525e-04 2.57947e-05 -3.00509e-08 9.71716e-07 -3.92505e-07 -1.18750e-07 4.49099e-07 -8.21777e-07 2.68390e-10 -9.14892e-10 4.66548e-10 8.30926e-10 -9.18902e-10 -2.75855e-10 -3.87310e-10 1.12289e-10 3.65435e-11 -1.42335e-09

#cal5k_z15_q1

4 15 0 20

# precision: tgt 5.00e-03 max 1.30e-02 (259.7%) avg 2.14e-03 (42.9%)

1.14207e+00 -5.72191e-03 -5.42107e-03 -1.20470e-04 9.65429e-06 1.93807e-05 9.47166e-07 8.11715e-06 2.63076e-07 9.46324e-08 -5.46828e-09 -1.67446e-08 4.64673e-10 -1.56700e-08 1.27208e-10 1.06312e-09 -3.81261e-09 4.84460e-11 -4.54187e-10 2.56800e-10

# precision: tgt 5.00e-03 max 2.52e-02 (503.5%) avg 2.58e-03 (51.5%)

1.31739e+00 -6.28339e-03 -4.77344e-03 -4.70171e-04 9.06906e-06 1.79814e-05 1.30410e-06 4.84708e-06 1.47875e-06 5.97911e-07 -3.60071e-09 -1.62055e-08 -3.00645e-10 -1.04394e-08 -6.77177e-10 -1.61864e-09 -1.15245e-09 2.52656e-10 9.01436e-10 2.56397e-10

# precision: tgt 5.00e-03 max 4.54e-03 (90.8%) avg 4.60e-04 (9.2%)

5.16513e+00 -4.66154e-04 -3.54025e-04 -2.50768e-04 1.21947e-06 1.40540e-06 4.05285e-07 9.46326e-07 1.83145e-07 -9.27160e-07 -5.09063e-10 -1.31383e-09 1.46622e-10 -1.09066e-09 5.33259e-11 -8.55149e-10 -1.62572e-10 2.47151e-10 -5.08853e-10 -5.64779e-10

#cal5k_z15_q2

4 15 1 20

# precision: tgt 5.00e-03 max 1.02e-02 (204.5%) avg 1.86e-03 (37.3%)

-7.94949e-01 -3.70425e-03 3.42990e-03 6.44930e-04 -6.28294e-06 1.23118e-05 9.25848e-07 -4.91632e-06 -9.40782e-08 -2.40261e-06 -3.51090e-09 1.07025e-08 -1.88508e-10 -9.48121e-09 -2.71177e-10 1.73929e-09 2.19392e-09 -1.22295e-10 -3.75306e-10 3.85946e-09

# precision: tgt 5.00e-03 max 2.35e-02 (469.5%) avg 2.15e-03 (43.1%)

5.02055e-01 2.80093e-03 -1.21528e-03 1.02300e-03 4.01731e-06 -6.40997e-06 7.34121e-07 -4.94036e-07 -1.44514e-07 -3.70313e-06 1.19176e-09 -6.90957e-09 2.19224e-11 5.70272e-10 1.78981e-10 -2.16788e-09 1.34577e-09 3.49219e-10 4.01499e-09 3.66920e-09

# precision: tgt 5.00e-03 max 5.11e-03 (102.3%) avg 4.72e-04 (9.4%)

5.13476e+00 2.75065e-04 -1.90130e-04 -1.75902e-04 7.61186e-07 -7.99570e-07 -2.85463e-07 5.97146e-07 2.07437e-07 -1.31833e-06 1.02474e-10 -7.01541e-10 1.35218e-10 4.74937e-10 5.41281e-11 6.40562e-10 5.20787e-11 2.77089e-10 -5.10974e-10 2.06192e-11

#cal5k_z15_q3

4 15 2 20

# precision: tgt 5.00e-03 max 8.35e-03 (167.1%) avg 1.35e-03 (27.1%)

-1.47049e-01 7.82096e-05 -1.53643e-04 9.84578e-04 3.98974e-07 -3.65074e-07 -3.34842e-07 -8.12136e-08 -1.13736e-06 -5.60738e-06 3.45115e-10 1.41342e-10 -1.04274e-09 -5.46593e-10 -1.61818e-09 2.02680e-09 3.90888e-11 -1.04704e-09 5.82857e-10 8.86103e-09

# precision: tgt 5.00e-03 max 3.17e-02 (634.2%) avg 2.97e-03 (59.3%)

-7.30507e-01 -2.29037e-03 -2.70170e-03 7.97663e-04 -7.83136e-07 -8.38753e-06 4.72113e-07 -2.90533e-06 1.36816e-06 -2.35316e-06 1.87016e-09 -5.24297e-09 -7.48966e-10 -6.09353e-09 -1.54928e-10 -1.58894e-09 -4.99056e-10 -2.11418e-10 -5.61885e-11 2.17283e-09

# precision: tgt 5.00e-03 max 5.48e-03 (109.5%) avg 9.42e-04 (18.8%)

4.98378e+00 -1.55645e-04 -2.45692e-05 7.30668e-04 3.51330e-07 -2.30197e-07 8.73118e-07 5.75674e-07 5.14002e-07 -3.70030e-06 7.33329e-11 -1.75254e-11 7.89881e-10 2.93501e-10 2.02594e-09 5.98092e-10 2.08120e-10 2.30346e-10 9.30194e-10 3.68458e-09

#cal5k_z15_q4

4 15 3 20

# precision: tgt 5.00e-03 max 1.58e-02 (315.1%) avg 3.21e-03 (64.2%)

6.49462e-01 -2.80490e-03 1.83502e-03 -1.35014e-03 4.63314e-06 -7.53401e-06 1.66734e-06 7.54582e-07 -1.06292e-06 4.57439e-06 -2.45576e-09 7.11789e-09 -4.76450e-10 -3.40372e-09 1.88152e-09 2.07941e-09 -9.27471e-10 -2.36508e-10 3.60915e-10 -7.11348e-09

# precision: tgt 5.00e-03 max 3.20e-02 (639.3%) avg 4.04e-03 (80.9%)

-1.32174e+00 6.54640e-03 -3.97448e-03 1.38013e-03 -1.09859e-05 1.66874e-05 -3.62168e-07 -2.53695e-06 1.86445e-06 -4.75783e-06 5.55738e-09 -1.67819e-08 6.47045e-10 6.58370e-09 -2.16738e-09 -2.16833e-09 3.63550e-10 2.68930e-10 1.27302e-09 8.24383e-09

# precision: tgt 5.00e-03 max 5.32e-03 (106.5%) avg 6.92e-04 (13.8%)

4.95428e+00 3.71984e-04 -3.23742e-04 5.44566e-04 -1.08430e-07 1.27275e-06 -5.81138e-07 -9.35025e-08 4.75037e-07 -2.98444e-06 2.64720e-10 -1.10053e-09 3.70011e-10 9.37963e-10 -1.10982e-09 -2.94135e-11 -3.08864e-10 -7.56034e-11 1.41262e-10 2.01280e-09

#cal5k_z16_q1

4 16 0 20

# precision: tgt 5.00e-03 max 1.47e-02 (294.0%) avg 2.18e-03 (43.5%)

1.34363e+00 -6.01247e-03 -5.49852e-03 -1.71083e-03 9.89817e-06 2.01212e-05 1.32510e-06 8.32284e-06 -8.66397e-07 6.00927e-06 -5.68895e-09 -1.76260e-08 1.40196e-09 -1.64326e-08 1.09480e-09 -5.22067e-10 -4.11187e-09 1.13966e-09 8.46769e-10 -7.26405e-09

# precision: tgt 5.00e-03 max 2.46e-02 (492.8%) avg 2.78e-03 (55.6%)

1.31168e+00 -6.87731e-03 -5.33778e-03 1.32926e-03 1.02088e-05 2.05996e-05 -6.11087e-07 5.57981e-06 2.27480e-07 -4.82304e-06 -4.30953e-09 -1.86728e-08 8.54310e-10 -1.26667e-08 5.88556e-10 1.03938e-09 -1.52744e-09 1.66593e-09 1.86845e-09 5.21097e-09

# precision: tgt 5.00e-03 max 4.23e-03 (84.6%) avg 4.56e-04 (9.1%)

5.38507e+00 5.15239e-04 2.67293e-04 -4.12139e-03 8.14916e-07 3.64082e-07 -4.94277e-06 4.38104e-07 -2.35704e-06 1.69386e-05 -1.62767e-10 -3.62135e-10 -3.28226e-10 -1.00885e-10 2.31772e-10 8.92242e-09 2.68438e-10 -9.92695e-11 4.01608e-09 -2.67466e-08

#cal5k_z16_q2

4 16 1 20

# precision: tgt 5.00e-03 max 1.09e-02 (217.5%) avg 1.98e-03 (39.7%)

-8.79192e-01 -4.47056e-03 4.11090e-03 -2.05181e-04 -7.51005e-06 1.51010e-05 5.58693e-07 -6.09329e-06 7.43338e-07 5.61789e-07 -4.22117e-09 1.32804e-08 -1.00118e-09 -1.18400e-08 3.27266e-10 1.56623e-09 2.94575e-09 -8.39107e-10 -1.38467e-09 3.56054e-10

# precision: tgt 5.00e-03 max 2.26e-02 (452.2%) avg 2.34e-03 (46.9%)

7.05317e-01 2.86899e-03 -1.33580e-03 -8.78173e-04 3.88821e-06 -6.53651e-06 8.05727e-07 -8.35822e-07 6.16908e-07 3.43787e-06 1.25763e-09 -7.17791e-09 1.45262e-09 6.35964e-10 -9.10836e-10 -5.48788e-10 1.52354e-09 1.60226e-09 9.84914e-10 -4.68618e-09

# precision: tgt 5.00e-03 max 4.63e-03 (92.5%) avg 5.28e-04 (10.6%)

5.85982e+00 -3.58692e-04 1.08491e-05 -8.88504e-03 8.52855e-07 -7.83689e-07 4.62964e-06 5.62214e-07 -1.32970e-06 3.38151e-05 2.47934e-11 -5.99134e-10 -4.04253e-10 2.97713e-10 5.59820e-11 -8.51532e-09 2.66180e-10 -1.91510e-10 2.38449e-09 -4.68099e-08

#cal5k_z16_q3

4 16 2 20

# precision: tgt 5.00e-03 max 7.27e-03 (145.4%) avg 1.48e-03 (29.6%)

-1.37855e-01 7.92461e-05 -2.56913e-04 4.18040e-04 3.95030e-07 -1.01782e-06 -1.29731e-06 -5.38693e-07 -2.14788e-06 -3.32758e-06 1.95998e-10 -7.06513e-10 -2.55854e-09 -1.54145e-09 -3.06753e-09 1.87098e-09 -5.18142e-10 -2.08368e-09 1.17606e-09 5.08039e-09

# precision: tgt 5.00e-03 max 3.16e-02 (633.0%) avg 3.19e-03 (63.7%)

-8.63073e-01 -2.70997e-03 -3.17079e-03 7.13068e-04 -1.01277e-06 -9.77224e-06 4.97204e-07 -3.16795e-06 1.63613e-06 -1.09089e-06 1.81180e-09 -5.86158e-09 -1.09980e-09 -6.94244e-09 9.02111e-10 -2.23132e-10 -3.53504e-10 -3.98372e-10 4.94241e-10 1.29882e-09

# precision: tgt 5.00e-03 max 4.64e-03 (92.8%) avg 6.02e-04 (12.0%)

5.19229e+00 -6.52470e-05 -3.99874e-04 -2.32732e-03 -3.79198e-07 -2.01186e-06 -4.02636e-06 1.28845e-07 -2.90024e-07 5.51690e-06 -2.86547e-10 -1.60673e-09 9.76389e-11 -1.21860e-09 1.33206e-09 8.96592e-09 -3.49744e-10 -1.92159e-09 4.44775e-10 -5.72538e-09

#cal5k_z16_q4

4 16 3 20

# precision: tgt 5.00e-03 max 1.51e-02 (301.7%) avg 3.22e-03 (64.3%)

3.74453e-01 -2.52603e-03 1.62782e-03 1.55428e-03 4.51482e-06 -7.86791e-06 -1.07460e-06 1.00823e-06 1.88298e-06 -3.96787e-06 -2.56987e-09 7.87987e-09 1.63101e-09 -4.25721e-09 -1.01899e-09 3.53652e-09 -5.15736e-10 1.22590e-09 -2.50852e-09 2.65868e-09

# precision: tgt 5.00e-03 max 3.05e-02 (610.5%) avg 4.09e-03 (81.8%)

-9.85547e-01 6.60712e-03 -4.01144e-03 -2.94599e-03 -1.10264e-05 1.69513e-05 2.28501e-07 -2.15183e-06 1.82896e-06 1.17581e-05 5.75654e-09 -1.70493e-08 -5.20956e-10 6.46285e-09 -1.82610e-09 -1.99203e-09 9.05503e-10 6.02964e-11 9.59982e-10 -1.32252e-08

# precision: tgt 5.00e-03 max 5.28e-03 (105.6%) avg 6.31e-04 (12.6%)

5.62320e+00 4.86540e-04 -2.73787e-04 -6.90725e-03 -1.99560e-07 1.60629e-06 6.74824e-08 2.79485e-07 -2.68719e-07 2.28704e-05 3.86489e-10 -1.63969e-09 -7.71248e-10 1.08812e-09 -2.62245e-10 -4.24699e-10 -4.13983e-10 -2.34885e-09 -4.13084e-10 -2.81392e-08

#cal5k_z17_q1

4 17 0 20

# precision: tgt 5.00e-03 max 1.36e-02 (271.8%) avg 2.28e-03 (45.7%)

1.11158e+00 -4.88960e-03 -4.36596e-03 -1.22245e-03 9.16341e-06 1.84038e-05 -3.04620e-06 7.57584e-06 -4.83126e-06 6.95120e-06 -5.71291e-09 -1.72545e-08 3.33355e-09 -1.57112e-08 3.91978e-09 4.16776e-09 -4.33259e-09 2.96376e-09 4.74929e-09 -9.85645e-09

# precision: tgt 5.00e-03 max 2.54e-02 (508.3%) avg 3.07e-03 (61.4%)

1.34480e+00 -7.12867e-03 -5.69161e-03 1.89383e-03 1.05629e-05 2.23000e-05 -1.92702e-06 6.09191e-06 -9.83034e-07 -5.49407e-06 -4.78295e-09 -2.01429e-08 2.58846e-09 -1.45357e-08 1.84365e-09 1.71749e-09 -1.89131e-09 3.13362e-09 2.72402e-09 4.73247e-09

# precision: tgt 5.00e-03 max 5.89e-03 (117.8%) avg 8.53e-04 (17.1%)

5.57801e+00 -5.59177e-04 -2.24138e-04 -4.84054e-03 6.07923e-07 -2.27483e-07 4.04294e-06 8.04768e-07 1.56014e-06 1.33381e-05 -5.21014e-10 -1.24882e-09 1.88450e-09 -1.32298e-09 5.65579e-09 -1.15148e-08 -3.85977e-10 1.44148e-09 -7.20178e-09 -1.24633e-08

#cal5k_z17_q2

4 17 1 20

# precision: tgt 5.00e-03 max 1.24e-02 (248.6%) avg 2.05e-03 (41.0%)

-9.06005e-01 -3.95164e-03 3.29617e-03 9.93162e-04 -7.24870e-06 1.45710e-05 -2.18892e-06 -5.51343e-06 4.60015e-06 -5.69273e-06 -4.47032e-09 1.40130e-08 -3.30197e-09 -1.20107e-08 3.54099e-09 3.04163e-09 3.16474e-09 -3.28260e-09 -4.59095e-09 8.38232e-09

# precision: tgt 5.00e-03 max 2.38e-02 (475.0%) avg 2.46e-03 (49.2%)

5.04428e-01 2.86532e-03 -1.13432e-03 1.44824e-03 3.53618e-06 -6.43782e-06 7.89744e-07 -1.32999e-06 -6.72469e-07 -4.44280e-06 1.30357e-09 -7.16923e-09 2.83964e-09 8.26148e-10 -2.08531e-09 5.10766e-10 1.71069e-09 3.26436e-09 1.86006e-09 4.29050e-09

# precision: tgt 5.00e-03 max 5.24e-03 (104.9%) avg 8.32e-04 (16.6%)

5.62006e+00 1.19674e-03 -6.66836e-04 -4.24151e-03 8.22544e-07 -1.84412e-07 -7.12367e-06 8.26899e-07 3.88815e-06 8.98774e-06 5.02724e-10 -1.41906e-09 1.41245e-09 1.35246e-09 -4.77030e-09 1.54723e-08 -3.72180e-10 1.37104e-09 -1.02888e-08 -5.85185e-09

#cal5k_z17_q3

4 17 2 20

# precision: tgt 5.00e-03 max 7.76e-03 (155.2%) avg 1.58e-03 (31.6%)

7.95411e-03 1.56450e-03 1.02863e-03 1.68030e-03 1.63519e-06 1.65841e-06 -5.43758e-06 3.44718e-07 -5.47567e-06 -1.02952e-05 1.25742e-10 -7.42372e-11 -5.67502e-09 -7.78612e-10 -7.79746e-09 3.76261e-09 -8.64347e-10 -4.40456e-09 2.58970e-09 1.32165e-08

# precision: tgt 5.00e-03 max 3.33e-02 (666.9%) avg 3.38e-03 (67.7%)

-6.58248e-01 -2.54931e-03 -3.85264e-03 -1.99965e-03 -6.18421e-07 -1.06149e-05 -1.69557e-06 -3.39397e-06 3.48625e-06 6.91462e-06 1.87957e-09 -6.00583e-09 -2.69912e-09 -7.77280e-09 5.42472e-10 2.42517e-09 -3.93355e-11 -4.67591e-10 -2.34260e-09 -6.26364e-09

# precision: tgt 5.00e-03 max 7.26e-03 (145.2%) avg 1.18e-03 (23.6%)

6.18032e+00 6.70314e-04 8.54084e-04 -1.00263e-02 -1.95401e-08 -1.12560e-06 -7.47641e-06 1.99240e-06 -5.09971e-06 2.58243e-05 -2.03413e-10 -1.57597e-09 -1.25847e-09 -1.01626e-10 -1.07493e-10 1.19316e-08 6.11852e-10 -4.77084e-09 5.57087e-09 -2.42842e-08

#cal5k_z17_q4

4 17 3 20

# precision: tgt 5.00e-03 max 1.55e-02 (310.1%) avg 3.21e-03 (64.2%)

1.96760e-01 -1.45411e-03 9.22545e-04 1.26579e-03 4.27319e-06 -7.31957e-06 -6.43200e-06 1.08878e-06 5.28223e-06 1.36794e-06 -3.16237e-09 8.98050e-09 4.72933e-09 -5.17512e-09 -5.52019e-09 7.33245e-09 2.43305e-10 3.30871e-09 -4.11615e-09 -5.24086e-09

# precision: tgt 5.00e-03 max 3.19e-02 (638.7%) avg 4.16e-03 (83.2%)

-8.48090e-01 6.46987e-03 -4.42809e-03 -4.36040e-03 -1.10005e-05 1.81054e-05 3.16280e-06 -2.32180e-06 1.77449e-06 1.29137e-05 5.92236e-09 -1.78644e-08 -2.28186e-09 7.64141e-09 -4.71096e-10 -4.93722e-09 1.19307e-09 -6.57854e-10 2.69249e-11 -1.11983e-08

# precision: tgt 5.00e-03 max 6.50e-03 (129.9%) avg 1.22e-03 (24.5%)

6.29960e+00 -3.64484e-05 1.78794e-04 -1.22214e-02 -5.19448e-07 2.35991e-06 5.39010e-06 1.18396e-06 -3.12637e-06 3.44799e-05 3.32986e-10 -2.08046e-09 -4.10055e-10 8.87080e-10 -1.61183e-09 -1.01924e-08 -5.78047e-12 -4.40951e-09 3.62512e-09 -3.43064e-08

#cal5k_z18_q1

4 18 0 20

# precision: tgt 5.00e-03 max 1.31e-02 (262.3%) avg 2.38e-03 (47.6%)

5.35871e-02 -3.46463e-03 -2.58687e-03 5.16625e-03 7.46453e-06 1.49734e-05 -5.26812e-06 5.75978e-06 -8.46535e-06 -9.06669e-06 -5.87174e-09 -1.71816e-08 8.18006e-09 -1.47861e-08 1.08485e-08 9.60259e-10 -4.69486e-09 7.36364e-09 4.03602e-09 6.12287e-09

# precision: tgt 5.00e-03 max 2.85e-02 (570.3%) avg 3.29e-03 (65.8%)

1.98386e+00 -6.68226e-03 -5.92035e-03 -3.36155e-03 9.45257e-06 2.20578e-05 -2.96721e-06 5.88333e-06 -1.71324e-08 9.41030e-06 -5.11888e-09 -2.05829e-08 6.71873e-09 -1.60403e-08 5.90438e-09 -8.97129e-10 -2.13983e-09 5.94704e-09 -1.89880e-09 -8.20392e-09

# precision: tgt 5.00e-03 max 7.12e-03 (142.4%) avg 1.42e-03 (28.5%)

7.90173e+00 9.41304e-04 2.04501e-04 -2.51491e-02 -3.69740e-07 -3.42920e-06 3.56320e-07 1.13617e-07 3.48687e-06 6.82424e-05 5.77479e-10 3.39910e-09 -2.29034e-09 2.59354e-09 1.18596e-10 -7.41845e-10 5.00401e-10 -2.27170e-09 -5.01476e-09 -6.45926e-08

#cal5k_z18_q2

4 18 1 20

# precision: tgt 5.00e-03 max 1.27e-02 (253.8%) avg 2.18e-03 (43.5%)

-1.01453e+00 -2.67240e-03 1.92434e-03 3.57452e-03 -6.23416e-06 1.23263e-05 -5.58754e-06 -4.23053e-06 7.58034e-06 -1.37590e-05 -4.88315e-09 1.47656e-08 -7.48248e-09 -1.17019e-08 9.39187e-09 2.42157e-09 3.66778e-09 -6.99493e-09 -3.77242e-09 1.42791e-08

# precision: tgt 5.00e-03 max 2.67e-02 (533.5%) avg 2.66e-03 (53.2%)

1.00380e+00 1.42107e-03 -4.60358e-04 -4.01888e-03 2.43398e-06 -5.72478e-06 6.87044e-06 -1.87152e-06 -3.63161e-06 1.39983e-05 1.61904e-09 -7.33833e-09 6.55613e-09 1.89297e-09 -6.01345e-09 -4.34466e-09 1.55476e-09 6.29914e-09 2.61348e-09 -1.47327e-08

# precision: tgt 5.00e-03 max 6.48e-03 (129.6%) avg 1.30e-03 (26.0%)

6.86312e+00 -1.05022e-03 7.88016e-04 -1.74421e-02 -5.42491e-07 3.96873e-06 -5.58372e-08 -2.81740e-07 1.22431e-06 4.89144e-05 -7.28129e-10 3.12029e-09 -1.74086e-09 -2.47603e-09 -2.47244e-09 1.53748e-09 4.97677e-10 -9.54656e-10 -3.89703e-09 -4.76193e-08

#cal5k_z18_q3

4 18 2 20

# precision: tgt 5.00e-03 max 9.04e-03 (180.7%) avg 1.87e-03 (37.4%)

5.38643e-01 3.37751e-03 2.66497e-03 -5.64990e-04 3.36526e-06 4.61119e-06 -9.64656e-06 1.10750e-06 -9.92227e-06 -4.93023e-06 -1.98631e-10 -5.39050e-12 -1.05289e-08 -5.36478e-10 -1.35678e-08 4.03828e-09 -1.86966e-09 -7.50824e-09 4.78817e-09 6.88921e-09

# precision: tgt 5.00e-03 max 3.83e-02 (766.3%) avg 3.91e-03 (78.1%)

-1.07198e+00 -2.43365e-03 -4.42837e-03 3.20108e-04 2.57771e-07 -1.20706e-05 -3.36627e-06 -4.01773e-06 2.61333e-06 1.10749e-08 2.07348e-09 -5.85476e-09 -4.86302e-09 -9.34056e-09 9.87476e-10 4.17968e-09 2.09048e-10 -5.24229e-10 -1.36553e-10 1.34958e-09

# precision: tgt 5.00e-03 max 1.32e-02 (263.4%) avg 2.22e-03 (44.4%)

4.05705e+00 -2.33350e-03 -1.02603e-03 3.25386e-03 -1.19445e-06 -4.00436e-06 3.86830e-06 3.08018e-06 3.20768e-06 -3.40797e-06 -6.59334e-10 -3.16487e-09 -9.57009e-10 6.83225e-11 4.69982e-09 -1.07043e-09 1.47626e-09 -6.18923e-09 -3.90882e-09 -2.06483e-09

#cal5k_z18_q4

4 18 3 20

# precision: tgt 5.00e-03 max 1.55e-02 (310.0%) avg 3.00e-03 (60.0%)

-1.25310e+00 -2.16849e-05 -9.34269e-04 1.05223e-02 2.98343e-06 -5.47018e-06 -1.01270e-05 6.53174e-07 1.25752e-05 -2.01092e-05 -3.76123e-09 9.90328e-09 9.98785e-09 -5.71461e-09 -1.15116e-08 6.10940e-09 1.23601e-09 6.37622e-09 -1.00237e-08 1.31791e-08

# precision: tgt 5.00e-03 max 3.43e-02 (686.6%) avg 4.47e-03 (89.5%)

-5.21788e-01 7.18627e-03 -5.65483e-03 -8.81160e-03 -1.07827e-05 2.09951e-05 2.59251e-06 -3.31280e-06 2.61727e-06 2.45237e-05 6.07494e-09 -1.87858e-08 -4.48352e-09 9.83704e-09 -1.76156e-09 -3.77331e-09 1.53358e-09 -2.12899e-10 3.94408e-10 -2.02592e-08

# precision: tgt 5.00e-03 max 1.43e-02 (285.6%) avg 2.06e-03 (41.2%)

4.86945e+00 2.88653e-03 -1.14273e-03 -3.61052e-03 -2.09287e-06 5.80718e-06 -4.09111e-06 2.36793e-06 1.53157e-06 1.41403e-05 1.04625e-09 -4.25558e-09 -1.40055e-10 9.75710e-10 -6.44475e-09 -1.06597e-10 1.00461e-09 -6.13835e-09 -9.32121e-10 -1.63896e-08

#cal5k_z19_q1

4 19 0 20

# precision: tgt 5.00e-03 max 1.61e-02 (322.9%) avg 2.88e-03 (57.5%)

1.68326e+00 -1.04741e-03 4.49379e-04 -1.03283e-02 4.89860e-06 8.71967e-06 -8.47064e-06 2.11712e-06 -1.27852e-05 3.05333e-05 -5.88364e-09 -1.59084e-08 1.30468e-08 -1.16615e-08 1.80507e-08 -6.56795e-10 -4.72298e-09 1.27908e-08 3.78545e-09 -2.56973e-08

# precision: tgt 5.00e-03 max 3.48e-02 (695.8%) avg 3.73e-03 (74.6%)

2.66932e+00 -3.31561e-03 -3.97028e-03 -1.09487e-02 5.74911e-06 1.74230e-05 -1.10682e-05 3.78268e-06 -3.87429e-06 2.98462e-05 -4.93481e-09 -1.78136e-08 1.26154e-08 -1.53885e-08 1.15063e-08 4.33798e-09 -1.98351e-09 1.03615e-08 -1.26666e-09 -2.53430e-08

# precision: tgt 5.00e-03 max 1.08e-02 (215.7%) avg 2.09e-03 (41.9%)

1.23335e+01 3.97809e-03 2.50094e-03 -5.88716e-02 -2.74227e-06 -1.07759e-05 -3.70859e-06 -1.23385e-06 1.35740e-06 1.44416e-04 1.83932e-09 8.48454e-09 -3.21750e-09 6.70361e-09 4.45752e-09 1.18122e-09 1.24876e-09 -3.86378e-09 -4.80569e-09 -1.18678e-07

#cal5k_z19_q2

4 19 1 20

# precision: tgt 5.00e-03 max 1.54e-02 (307.6%) avg 2.36e-03 (47.1%)

-4.03589e+00 -1.18221e-03 -1.83804e-03 2.83644e-02 -3.37482e-06 6.07215e-06 -4.39221e-06 -4.72783e-07 1.56057e-05 -7.40471e-05 -4.70463e-09 1.33550e-08 -1.28952e-08 -8.43391e-09 1.68645e-08 -4.91200e-09 3.45240e-09 -1.24275e-08 -7.78986e-09 6.09317e-08

# precision: tgt 5.00e-03 max 3.20e-02 (639.8%) avg 3.07e-03 (61.3%)

4.83573e+00 5.91392e-04 -3.49827e-04 -3.10214e-02 -1.24672e-06 -1.17889e-06 2.98073e-06 -4.19219e-06 1.45939e-06 7.32954e-05 1.14782e-09 -4.64056e-09 1.20856e-08 1.29806e-09 -1.20418e-08 5.07712e-09 1.75884e-09 1.13212e-08 -8.27969e-09 -5.62541e-08

# precision: tgt 5.00e-03 max 1.01e-02 (202.1%) avg 1.95e-03 (39.1%)

6.22613e+00 -3.82688e-03 2.83187e-03 -1.61931e-02 -3.46464e-06 1.23451e-05 1.22501e-06 -2.36744e-06 2.15534e-06 4.39172e-05 -2.39569e-09 9.58031e-09 -3.21746e-09 -8.32272e-09 -4.81661e-09 1.89929e-09 1.96734e-09 -3.54832e-09 -6.07100e-09 -3.97395e-08

#cal5k_z19_q3

4 19 2 20

# precision: tgt 5.00e-03 max 1.38e-02 (276.3%) avg 2.82e-03 (56.3%)

-1.15867e-01 8.24434e-03 7.13273e-03 1.12746e-02 8.41840e-06 1.34982e-05 -1.81591e-05 2.42922e-06 -2.09935e-05 -4.00128e-05 -1.16417e-10 2.29793e-09 -1.96885e-08 9.04699e-10 -2.64612e-08 3.87747e-09 -3.75008e-09 -1.14925e-08 1.12606e-08 3.65772e-08

# precision: tgt 5.00e-03 max 4.26e-02 (851.8%) avg 4.88e-03 (97.7%)

-1.77509e+00 -2.43060e-03 -7.38819e-03 3.05315e-03 3.19741e-07 -1.74117e-05 -8.69327e-06 -6.64844e-06 6.88196e-06 -8.05746e-06 1.98563e-09 -7.09246e-09 -6.51133e-09 -1.36726e-08 4.00600e-09 1.14627e-08 1.68608e-10 9.45447e-10 -2.51289e-09 1.03952e-08

# precision: tgt 5.00e-03 max 2.13e-02 (425.4%) avg 4.23e-03 (84.5%)

1.31190e+00 -2.75866e-03 -5.63550e-04 2.06911e-02 -2.20081e-06 -4.48286e-06 1.83179e-06 6.62378e-06 2.94581e-06 -4.21752e-05 -1.54178e-09 -5.00896e-09 -2.41487e-09 1.37794e-09 3.64705e-09 1.73719e-09 3.13610e-09 -1.13034e-08 -5.51882e-09 2.70359e-08

#cal5k_z19_q4

4 19 3 20

# precision: tgt 5.00e-03 max 1.97e-02 (393.1%) avg 2.47e-03 (49.4%)

-3.58433e+00 5.70353e-03 -5.12372e-03 1.89522e-02 -1.79367e-06 3.64912e-06 -2.28538e-05 -9.34284e-07 2.16688e-05 -3.07012e-05 -3.79172e-09 8.00903e-09 1.90495e-08 -4.49955e-09 -2.61773e-08 1.00617e-08 2.97527e-09 1.10446e-08 -1.25431e-08 1.82485e-08

# precision: tgt 5.00e-03 max 3.79e-02 (757.1%) avg 5.56e-03 (111.2%)

-1.34213e+00 7.12330e-03 -8.91383e-03 -4.82793e-03 -1.14653e-05 2.80064e-05 1.04058e-05 -6.79898e-06 6.10508e-06 1.07808e-05 6.59482e-09 -2.08268e-08 -5.78042e-09 1.47236e-08 -7.00945e-09 -1.52083e-08 1.31881e-09 2.58492e-09 6.15691e-10 -3.62486e-09

# precision: tgt 5.00e-03 max 2.29e-02 (458.2%) avg 4.02e-03 (80.4%)

8.05374e+00 2.93284e-03 -3.22451e-04 -2.64816e-02 -1.78230e-06 4.89795e-06 -3.03494e-06 6.38330e-06 1.37129e-06 6.77665e-05 7.00483e-10 -3.65308e-09 -6.29403e-10 -2.30609e-09 -8.13183e-09 -3.05819e-09 3.17341e-09 -9.84264e-09 -1.05195e-09 -5.70389e-08

#cal5k_z2_q1

4 2 0 20

# precision: tgt 5.00e-03 max 1.87e-02 (374.9%) avg 3.02e-03 (60.4%)

1.82585e+00 -7.28413e-03 -6.26576e-03 4.17696e-03 1.11409e-05 1.72857e-05 -6.01427e-06 5.69632e-06 -9.36377e-06 5.67294e-06 -3.56326e-09 -1.07570e-08 1.20234e-08 -8.39922e-09 1.14192e-08 9.55596e-10 1.41548e-09 8.53123e-09 -5.20678e-09 2.18821e-09

# precision: tgt 5.00e-03 max 2.39e-02 (478.6%) avg 2.36e-03 (47.1%)

-2.64671e-02 -4.30122e-03 -2.88561e-03 -4.27473e-03 5.99742e-06 6.78924e-06 -7.02540e-06 3.59106e-06 -3.54967e-06 -1.23390e-05 -4.26665e-11 -5.02440e-09 9.36948e-09 1.49007e-09 8.00707e-09 -3.05686e-09 5.63020e-10 1.17853e-08 1.74892e-09 -1.12560e-08

# precision: tgt 5.00e-03 max 8.65e-03 (172.9%) avg 1.69e-03 (33.9%)

4.89521e+00 1.40582e-03 9.43925e-04 3.00912e-03 -1.68368e-06 -7.41325e-06 -3.45835e-06 -7.68107e-07 -4.58660e-06 8.07766e-06 2.20394e-09 7.45800e-09 4.98608e-09 6.06546e-09 9.42217e-11 -4.40357e-09 1.89928e-09 5.24090e-09 -5.71410e-09 7.68786e-09

#cal5k_z2_q2

4 2 1 20

# precision: tgt 5.00e-03 max 1.12e-02 (224.6%) avg 2.06e-03 (41.2%)

-8.16490e-01 -2.13487e-03 2.31793e-03 -3.52685e-03 -2.61339e-06 2.04774e-06 -5.12822e-06 -1.20859e-06 8.51141e-06 -4.59237e-06 5.56045e-10 -3.20573e-09 -1.05687e-08 1.87576e-09 1.01293e-08 3.60738e-10 -2.38883e-09 -8.32281e-09 4.81249e-09 -1.17317e-09

# precision: tgt 5.00e-03 max 2.35e-02 (469.8%) avg 2.06e-03 (41.2%)

6.15853e-01 2.87247e-03 -1.77923e-03 1.69377e-03 2.97054e-06 -3.41261e-06 6.35396e-06 2.11016e-06 -2.49739e-06 2.08576e-06 -1.88979e-09 -1.64470e-09 8.28727e-09 -3.47990e-09 -6.95085e-09 3.24409e-09 1.33099e-09 1.13132e-08 2.35774e-09 6.82791e-11

# precision: tgt 5.00e-03 max 8.98e-03 (179.6%) avg 1.66e-03 (33.1%)

4.21414e+00 -2.35077e-03 1.74069e-03 -7.01295e-04 -2.15559e-06 8.34860e-06 6.16243e-07 -1.38208e-06 -2.38915e-06 1.09514e-06 -1.94268e-09 6.90674e-09 3.17937e-09 -6.17058e-09 2.70130e-09 3.20038e-09 2.03204e-09 4.14023e-09 -4.89065e-09 2.76868e-09

#cal5k_z2_q3

4 2 2 20

# precision: tgt 5.00e-03 max 8.29e-03 (165.7%) avg 1.40e-03 (28.1%)

-2.57566e-01 -2.18006e-03 -2.12698e-03 -1.28996e-04 -4.71105e-06 -3.89555e-06 -1.99412e-06 -2.43212e-06 -5.41207e-06 1.13284e-06 -8.27334e-10 -3.83349e-10 -1.11912e-08 -1.00184e-09 -7.32961e-09 3.99138e-09 1.75478e-09 -8.75118e-09 -1.46689e-09 1.80767e-09

# precision: tgt 5.00e-03 max 2.74e-02 (547.5%) avg 2.64e-03 (52.8%)

4.82196e-01 1.07372e-03 1.02672e-03 9.54462e-04 3.07861e-06 5.89725e-06 -4.07459e-06 1.81722e-07 -1.43795e-07 2.54644e-06 4.96423e-09 6.06456e-09 -6.69011e-09 8.33334e-09 -4.92440e-09 -2.52710e-09 7.02492e-10 -8.78197e-09 4.16667e-09 3.12069e-09

# precision: tgt 5.00e-03 max 1.25e-02 (250.8%) avg 1.92e-03 (38.4%)

4.65762e+00 -8.44268e-04 -3.22981e-04 5.79096e-04 4.20964e-07 -3.01444e-06 1.18405e-06 2.01631e-06 1.27958e-06 4.30529e-06 -1.28043e-09 -3.57539e-09 6.15280e-09 -1.84891e-09 -4.45914e-11 1.63943e-09 7.84788e-11 7.02720e-09 1.01592e-09 5.91680e-09

#cal5k_z2_q4

4 2 3 20

# precision: tgt 5.00e-03 max 1.97e-02 (393.8%) avg 3.25e-03 (64.9%)

2.18095e-01 -2.41537e-03 1.60876e-03 1.94494e-04 6.83898e-06 -4.72363e-06 3.42162e-07 1.42265e-06 3.87593e-06 5.77087e-07 -2.37072e-09 2.88791e-09 1.18036e-08 -5.71262e-10 -6.49533e-09 6.75495e-09 -2.72335e-09 8.45619e-09 3.23942e-10 4.45981e-10

# precision: tgt 5.00e-03 max 2.94e-02 (588.3%) avg 3.69e-03 (73.9%)

-3.15759e-01 6.74802e-03 -4.61412e-03 4.57280e-03 -1.23233e-05 1.65816e-05 3.81377e-06 -7.72668e-06 1.96823e-07 1.07590e-05 4.61742e-09 -1.60803e-08 -7.67958e-09 6.11789e-09 6.01843e-09 1.25728e-09 -2.82558e-09 -9.99149e-09 5.73217e-09 8.97383e-09

# precision: tgt 5.00e-03 max 1.23e-02 (246.8%) avg 2.10e-03 (42.0%)

4.71024e+00 3.72411e-04 -5.53508e-05 6.21705e-04 6.84489e-07 2.73091e-06 -2.85647e-06 1.98746e-06 2.70833e-06 3.38888e-06 1.12821e-09 -3.57949e-09 6.56365e-09 1.74621e-09 -1.10453e-09 -2.94354e-09 3.01680e-11 7.27655e-09 2.18535e-09 4.66519e-09

#cal5k_z20_q1

4 20 0 20

# precision: tgt 5.00e-03 max 1.95e-02 (390.8%) avg 3.26e-03 (65.2%)

-3.60100e-01 -8.86735e-04 1.01601e-03 2.94931e-03 1.93419e-06 2.88802e-06 -8.60020e-07 -2.78874e-07 -7.30867e-06 -3.80744e-06 -5.08951e-09 -1.24648e-08 1.54936e-08 -5.96075e-09 1.74867e-08 -1.04864e-08 -4.14226e-09 1.19441e-08 -1.04404e-09 2.94161e-09

# precision: tgt 5.00e-03 max 3.85e-02 (770.3%) avg 4.11e-03 (82.2%)

2.54232e+00 -4.32383e-03 -4.96897e-03 -7.60988e-03 2.45149e-06 1.12571e-05 1.78680e-06 -2.95648e-07 9.18460e-06 1.20548e-05 -3.54514e-09 -1.07858e-08 1.18301e-08 -1.12002e-08 1.01343e-08 -8.14961e-09 -3.88936e-10 1.38784e-08 -1.70533e-08 -5.27205e-09

# precision: tgt 5.00e-03 max 1.15e-02 (229.6%) avg 2.38e-03 (47.5%)

6.63170e+01 3.43968e-04 -7.73626e-04 -3.85906e-01 -9.11659e-07 -9.36705e-06 1.09364e-05 1.34048e-06 1.29954e-05 7.98879e-04 2.86762e-09 1.16284e-08 -1.12339e-08 9.26432e-09 -5.77560e-09 -8.70997e-09 2.09821e-09 -1.26612e-08 -1.04972e-08 -5.52244e-07

#cal5k_z20_q2

4 20 1 20

# precision: tgt 5.00e-03 max 2.06e-02 (411.3%) avg 2.61e-03 (52.1%)

-1.48277e+00 3.16597e-04 -2.22927e-03 9.94186e-03 -5.29618e-07 -5.09422e-07 -2.77050e-06 2.62260e-06 8.07304e-06 -2.39764e-05 -3.78821e-09 9.80166e-09 -1.50197e-08 -2.23207e-09 1.77108e-08 -8.32736e-09 2.43427e-09 -1.22562e-08 5.10162e-10 1.69343e-08

# precision: tgt 5.00e-03 max 3.82e-02 (763.5%) avg 3.49e-03 (69.7%)

2.07631e+00 -1.72267e-03 1.02400e-03 -1.20605e-02 -5.41387e-06 6.10867e-06 3.30609e-06 -8.49069e-06 5.04815e-06 2.41728e-05 -3.48958e-10 2.57610e-09 1.28430e-08 -3.20167e-09 -1.22911e-08 4.03630e-09 3.31147e-09 1.50602e-08 -1.40731e-08 -1.51769e-08

# precision: tgt 5.00e-03 max 1.05e-02 (210.1%) avg 2.26e-03 (45.2%)

5.99683e+01 3.77721e-05 -1.63934e-04 -3.46403e-01 -1.35496e-06 1.04374e-05 -1.34955e-05 6.74855e-07 1.17557e-05 7.16419e-04 -3.22891e-09 1.21519e-08 -1.11348e-08 -1.02520e-08 5.04468e-09 1.16913e-08 2.58146e-09 -1.25646e-08 -9.55497e-09 -4.94709e-07

#cal5k_z20_q3

4 20 2 20

# precision: tgt 5.00e-03 max 2.03e-02 (405.3%) avg 4.66e-03 (93.2%)

1.43919e+01 -1.58333e-03 -2.06547e-03 -9.23062e-02 9.27324e-06 1.22420e-05 2.73035e-05 1.32180e-06 1.92367e-05 2.06827e-04 3.26967e-10 5.08193e-09 -1.75714e-08 1.66916e-09 -1.55239e-08 -4.09586e-08 -6.55659e-09 -1.14620e-08 -2.82993e-08 -1.55611e-07

# precision: tgt 5.00e-03 max 4.94e-02 (987.6%) avg 6.45e-03 (129.0%)

1.05070e+01 -6.52183e-03 -8.63600e-03 -7.85965e-02 -1.34812e-06 -2.17561e-05 3.64998e-06 -5.75723e-06 8.24321e-06 1.68288e-04 1.13306e-09 -9.89847e-09 -6.47885e-09 -2.05923e-08 -6.35396e-10 -3.33900e-09 -5.34567e-10 -8.46826e-09 -1.08478e-08 -1.17805e-07

# precision: tgt 5.00e-03 max 2.95e-02 (589.3%) avg 6.48e-03 (129.6%)

4.76857e+01 1.05804e-03 4.30676e-03 -2.65865e-01 6.90626e-07 2.70974e-06 -6.96176e-06 9.78548e-06 -9.99125e-06 5.50385e-04 -1.70711e-09 -2.95420e-09 -7.69566e-09 7.16030e-09 -2.04674e-09 6.56816e-09 5.81603e-09 -9.45950e-09 8.27752e-09 -3.80702e-07

#cal5k_z20_q4

4 20 3 20

# precision: tgt 5.00e-03 max 1.56e-02 (312.0%) avg 2.48e-03 (49.6%)

-1.54734e+01 -8.08467e-03 5.96367e-03 1.05692e-01 1.86336e-08 -1.92168e-06 3.39029e-05 1.38117e-06 -2.24228e-05 -2.37680e-04 -4.37815e-09 8.14834e-09 1.49686e-08 -5.93003e-09 -1.24080e-08 -4.51585e-08 6.28037e-09 1.07824e-08 3.01251e-08 1.78200e-07

# precision: tgt 5.00e-03 max 4.01e-02 (802.3%) avg 7.20e-03 (144.1%)

1.19320e+01 1.17757e-02 -1.02674e-02 -9.12338e-02 -1.49677e-05 3.36905e-05 -2.06148e-06 -6.59388e-06 6.91899e-06 1.93063e-04 8.65184e-09 -2.65952e-08 -5.82053e-09 2.40039e-08 1.45817e-09 1.85930e-09 1.07359e-10 -7.84321e-09 -9.80305e-09 -1.34228e-07

# precision: tgt 5.00e-03 max 2.96e-02 (592.5%) avg 6.30e-03 (126.0%)

5.46204e+01 -9.64875e-04 4.79071e-03 -3.09164e-01 3.06339e-06 -5.03799e-06 2.48358e-06 1.08413e-05 -9.64023e-06 6.42192e-04 -5.47072e-10 1.27898e-09 -6.07374e-09 -1.00082e-08 -1.71941e-09 -4.00552e-09 6.51140e-09 -8.75053e-09 9.72331e-09 -4.44706e-07

#cal5k_z21_q1

4 21 0 20

# precision: tgt 5.00e-03 max 2.22e-02 (443.7%) avg 3.71e-03 (74.2%)

3.22276e+00 -7.04129e-03 -5.12499e-03 -1.37057e-02 6.56528e-06 3.98408e-06 2.02587e-05 1.97837e-06 1.68688e-05 1.88660e-05 -4.98122e-09 -1.19106e-08 5.88602e-09 -3.25153e-09 1.11940e-08 -2.67415e-08 -3.49979e-09 4.34245e-09 -2.14005e-08 -5.48867e-09

# precision: tgt 5.00e-03 max 3.90e-02 (780.9%) avg 4.03e-03 (80.7%)

5.41596e+00 -5.48010e-03 -9.85202e-03 -2.32031e-02 2.29804e-06 7.13626e-06 1.12490e-05 1.08521e-06 3.11412e-05 3.62442e-05 -9.64694e-10 -1.85110e-09 2.15751e-09 -4.58037e-09 3.84301e-10 -1.11925e-08 1.96958e-09 3.63911e-09 -3.22887e-08 -1.81856e-08

# precision: tgt 5.00e-03 max 1.67e-02 (333.9%) avg 1.71e-03 (34.1%)

-2.78992e+00 -5.55429e-03 -7.78592e-03 4.85477e-02 1.21909e-05 1.24431e-05 8.51765e-06 1.46256e-05 1.52071e-05 -9.72988e-05 4.17033e-10 2.21198e-09 -2.70477e-08 5.84367e-10 -2.75079e-08 6.66903e-09 -5.36834e-10 -2.92992e-08 6.43388e-10 6.02912e-08

#cal5k_z21_q2

4 21 1 20

# precision: tgt 5.00e-03 max 2.24e-02 (448.9%) avg 3.35e-03 (67.1%)

-3.68125e+00 -6.77509e-03 4.16287e-03 1.68247e-02 -4.03721e-06 -1.25261e-06 2.40789e-05 1.58486e-06 -1.92188e-05 -2.32110e-05 -3.49803e-09 8.49694e-09 -6.94609e-09 1.55927e-09 1.30887e-08 -3.13794e-08 1.28994e-09 -5.67821e-09 2.47900e-08 6.88601e-09

# precision: tgt 5.00e-03 max 3.58e-02 (715.8%) avg 3.54e-03 (70.7%)

3.77666e+00 -5.78296e-04 -3.65021e-03 -2.07409e-02 -5.85386e-06 1.21349e-05 -8.18380e-06 -8.29996e-06 2.91624e-05 3.29541e-05 -2.65015e-09 1.21168e-08 3.54566e-09 -1.12042e-08 -3.49395e-09 9.85066e-09 6.11908e-09 5.33264e-09 -3.21920e-08 -1.63861e-08

# precision: tgt 5.00e-03 max 1.42e-02 (285.0%) avg 1.53e-03 (30.7%)

-4.90659e+00 4.18171e-03 -6.79938e-03 5.93038e-02 1.09757e-05 -9.10842e-06 -6.50551e-06 1.28473e-05 1.53717e-05 -1.17239e-04 -8.93876e-10 3.84835e-09 -2.64620e-08 -2.89494e-09 2.54886e-08 -7.65447e-09 2.71201e-10 -2.85038e-08 -6.34434e-10 7.30266e-08

#cal5k_z21_q3

4 21 2 20

# precision: tgt 5.00e-03 max 1.92e-02 (384.0%) avg 5.29e-03 (105.7%)

3.49845e+00 3.77999e-03 2.81149e-03 -1.54618e-02 3.08299e-06 7.48023e-06 -2.46475e-06 -2.97359e-06 -6.07118e-06 2.75117e-05 -2.89115e-10 3.13030e-09 -7.39853e-09 4.61358e-10 -8.98082e-09 -4.64413e-09 -7.60023e-09 -4.94898e-09 1.49355e-09 -1.74680e-08

# precision: tgt 5.00e-03 max 6.75e-02 (1350.8%) avg 7.25e-03 (145.0%)

-3.12795e+00 -1.33064e-02 -1.25701e-02 6.78987e-04 -6.28500e-06 -2.68315e-05 2.37468e-05 -9.24286e-06 1.76344e-05 1.17999e-05 8.38837e-10 -8.79686e-09 3.75328e-09 -2.08287e-08 9.89707e-09 -1.60025e-08 5.36577e-10 -7.43987e-10 -1.42553e-08 -1.30034e-08

# precision: tgt 5.00e-03 max 4.73e-02 (945.0%) avg 8.13e-03 (162.5%)

-3.64053e+00 -3.10439e-04 2.41224e-03 5.16562e-02 1.95151e-06 1.05724e-05 8.33720e-06 9.55895e-06 6.13943e-06 -9.62118e-05 -1.06460e-09 2.08652e-09 -5.40102e-09 1.36379e-08 -2.50067e-09 -1.01613e-08 6.79683e-09 -2.38344e-09 -6.63380e-09 5.71444e-08

#cal5k_z21_q4

4 21 3 20

# precision: tgt 5.00e-03 max 2.46e-02 (491.7%) avg 2.98e-03 (59.6%)

-1.09686e+00 -2.82799e-03 1.61398e-03 7.93667e-03 8.50355e-06 -9.78436e-06 2.16049e-08 6.88646e-06 3.88257e-06 -1.42851e-05 -6.84005e-09 1.52536e-08 6.44136e-09 -1.09620e-08 -1.01432e-08 -6.87779e-09 8.20581e-09 5.63776e-09 1.46870e-09 9.98076e-09

# precision: tgt 5.00e-03 max 4.83e-02 (965.9%) avg 7.61e-03 (152.2%)

-2.19526e+00 1.30419e-02 -1.02009e-02 -2.22644e-03 -2.10148e-05 3.71054e-05 -1.43822e-06 -9.87161e-06 3.22895e-06 6.00936e-06 1.24035e-08 -3.33285e-08 -3.36510e-09 2.99144e-08 8.72597e-09 4.23914e-09 -4.32715e-10 -6.20063e-09 -9.68575e-09 -5.87108e-09

# precision: tgt 5.00e-03 max 4.55e-02 (910.7%) avg 7.55e-03 (151.0%)

-4.20976e-01 3.87984e-03 -1.51502e-03 2.83687e-02 3.41419e-06 -6.43065e-06 -2.06620e-05 7.77542e-06 1.58306e-05 -4.49573e-05 -2.93214e-09 9.12638e-09 2.33044e-09 -1.65982e-08 -1.68783e-08 1.17202e-08 7.31296e-09 3.36455e-09 -6.37050e-09 2.42060e-08

#cal5k_z3_q1

4 3 0 20

# precision: tgt 5.00e-03 max 1.77e-02 (353.1%) avg 2.90e-03 (58.0%)

9.47455e-01 -5.58488e-03 -4.09384e-03 2.84747e-04 8.69933e-06 1.33522e-05 -3.25209e-06 3.42638e-06 -4.79159e-06 -1.35691e-06 -3.00897e-09 -1.00140e-08 7.51584e-09 -6.49694e-09 5.97224e-09 -5.41857e-12 1.36532e-09 4.83885e-09 -3.39508e-09 -2.90791e-09

# precision: tgt 5.00e-03 max 2.10e-02 (420.0%) avg 2.15e-03 (43.0%)

3.19569e-01 -2.06435e-03 -1.46557e-03 1.50902e-04 2.94201e-06 2.72327e-06 -2.49023e-06 7.86495e-07 -2.01245e-06 1.39063e-08 5.93366e-10 -2.10715e-09 5.53364e-09 3.14456e-09 4.23891e-09 -4.23782e-10 1.62234e-09 7.74509e-09 5.00338e-10 -5.95245e-10

# precision: tgt 5.00e-03 max 6.63e-03 (132.7%) avg 1.20e-03 (24.0%)

4.83205e+00 1.33504e-03 1.10173e-03 1.96014e-03 -1.40845e-06 -5.64735e-06 -1.41264e-06 -7.63174e-07 -1.93578e-06 6.21553e-06 1.21069e-09 4.77280e-09 1.66906e-09 3.87411e-09 -2.20865e-09 -3.92157e-09 1.02656e-09 2.02662e-09 -4.40891e-09 6.54171e-09

#cal5k_z3_q2

4 3 1 20

# precision: tgt 5.00e-03 max 1.10e-02 (219.5%) avg 2.02e-03 (40.5%)

-3.22080e-01 -9.62227e-04 6.45223e-04 -1.92877e-03 -6.52669e-07 -1.40031e-06 -4.00976e-06 1.05304e-06 6.05033e-06 -2.31728e-06 8.32973e-10 -3.48188e-09 -6.28273e-09 3.66662e-09 4.93251e-09 -2.56273e-09 -2.43831e-09 -4.71497e-09 5.58414e-09 8.12595e-10

# precision: tgt 5.00e-03 max 2.04e-02 (408.0%) avg 1.91e-03 (38.1%)

1.21067e-01 7.84298e-04 -6.65680e-04 -7.47129e-05 5.02987e-07 -4.66664e-07 9.53638e-07 -1.53041e-07 -9.57816e-07 2.41764e-07 -2.12460e-09 1.87988e-10 4.29830e-09 -4.13464e-09 -3.09020e-09 -3.72078e-10 1.98654e-09 7.11247e-09 1.04955e-09 -8.19346e-11

# precision: tgt 5.00e-03 max 5.34e-03 (106.8%) avg 1.13e-03 (22.7%)

4.64148e+00 -1.66662e-03 1.25025e-03 6.65804e-04 -1.54627e-06 5.47249e-06 4.95005e-08 -8.74234e-07 -1.21278e-06 3.58091e-06 -1.06348e-09 3.92505e-09 5.55177e-10 -3.51454e-09 3.58940e-09 3.44580e-09 1.00869e-09 1.42701e-09 -4.44874e-09 4.42231e-09

#cal5k_z3_q3

4 3 2 20

# precision: tgt 5.00e-03 max 6.46e-03 (129.2%) avg 1.28e-03 (25.5%)

3.41387e-01 -1.17771e-03 -8.20263e-04 3.49713e-03 -2.37965e-06 -1.07109e-06 -1.00231e-06 -2.60768e-07 -3.42970e-06 1.01554e-05 1.03849e-10 7.50695e-10 -7.69106e-09 1.18591e-09 -4.91369e-09 2.94291e-09 2.02735e-09 -5.85672e-09 -8.71826e-10 9.59035e-09

# precision: tgt 5.00e-03 max 2.78e-02 (556.8%) avg 2.61e-03 (52.2%)

6.86041e-01 1.90046e-03 1.61252e-03 2.25160e-03 4.49904e-06 7.61027e-06 -2.59802e-06 2.12881e-06 2.47916e-07 6.05734e-06 4.74922e-09 7.19172e-09 -3.86688e-09 8.55215e-09 -2.26065e-09 -2.62107e-09 1.61379e-09 -5.34065e-09 2.23266e-09 6.63829e-09

# precision: tgt 5.00e-03 max 1.07e-02 (214.4%) avg 1.55e-03 (31.1%)

4.70285e+00 -7.06072e-04 -2.35733e-04 1.32372e-04 2.35975e-07 -2.16537e-06 1.04707e-06 1.79221e-06 8.42925e-07 2.38194e-06 -6.79923e-10 -2.47351e-09 3.86256e-09 -6.90157e-10 -7.60752e-10 2.32075e-09 5.27298e-10 4.80170e-09 1.27257e-09 3.93491e-09

#cal5k_z3_q4

4 3 3 20

# precision: tgt 5.00e-03 max 1.73e-02 (345.9%) avg 3.14e-03 (62.9%)

7.89961e-01 -2.34270e-03 1.08903e-03 4.45627e-03 4.50136e-06 -2.56596e-06 -2.42980e-06 -5.29484e-07 4.77495e-06 1.01231e-05 -1.34381e-09 1.97499e-09 8.12752e-09 1.49257e-09 -4.85831e-09 1.29403e-09 -3.07756e-09 6.01972e-09 2.72888e-09 7.50519e-09

# precision: tgt 5.00e-03 max 2.91e-02 (582.6%) avg 3.67e-03 (73.5%)

-1.51919e+00 6.81349e-03 -4.75714e-03 -3.59910e-03 -1.10605e-05 1.50321e-05 6.59283e-06 -5.66237e-06 -3.21577e-06 -6.69475e-06 4.76543e-09 -1.43485e-08 -5.94371e-09 5.10421e-09 6.01826e-09 4.93549e-09 -1.67083e-09 -7.47812e-09 7.14201e-10 -3.61667e-09

# precision: tgt 5.00e-03 max 1.07e-02 (215.0%) avg 1.77e-03 (35.3%)

4.54226e+00 6.62353e-04 -3.61416e-04 -7.24071e-04 4.52758e-07 2.54161e-06 -1.37845e-06 1.66125e-06 1.17208e-06 1.13142e-07 6.50359e-10 -2.93743e-09 4.76256e-09 1.07523e-09 -1.21634e-10 -1.99707e-09 3.18383e-10 5.50402e-09 1.13380e-09 2.06886e-09

#cal5k_z4_q1

4 4 0 20

# precision: tgt 5.00e-03 max 1.75e-02 (349.6%) avg 2.74e-03 (54.8%)

-1.76908e+00 -4.25828e-03 -3.45197e-03 -2.41133e-02 6.84333e-06 1.12042e-05 -3.44499e-07 2.12343e-06 -4.65287e-06 -7.70843e-05 -2.45369e-09 -8.62525e-09 4.73713e-09 -4.38161e-09 6.18050e-09 2.30516e-09 1.54795e-09 3.92096e-09 -2.39730e-09 -8.02211e-08

# precision: tgt 5.00e-03 max 2.11e-02 (421.7%) avg 2.27e-03 (45.4%)

-2.27007e+00 -1.00160e-03 3.13567e-04 -2.26481e-02 6.28041e-07 -2.79220e-07 -2.00923e-06 -1.84253e-06 2.23209e-06 -7.04018e-05 1.21538e-09 3.34199e-10 2.74785e-09 4.64481e-09 2.12460e-09 -1.64133e-09 2.34329e-09 2.93123e-09 2.52814e-09 -7.32625e-08

# precision: tgt 5.00e-03 max 5.64e-03 (112.8%) avg 8.84e-04 (17.7%)

2.78516e+00 -4.04813e-04 1.04689e-04 -2.13333e-02 -6.67700e-08 -1.36483e-06 -4.89459e-06 1.26534e-07 -1.52763e-06 -6.98148e-05 1.16706e-10 4.84895e-10 -1.04190e-09 -9.15744e-11 -3.94171e-09 -1.12590e-08 1.26433e-11 -1.40751e-09 -6.07325e-09 -7.46449e-08

#cal5k_z4_q2

4 4 1 20

# precision: tgt 5.00e-03 max 1.13e-02 (225.6%) avg 2.00e-03 (40.0%)

8.82620e-01 -4.69001e-05 1.92575e-04 9.06772e-03 7.47061e-07 -2.80801e-06 -1.50240e-06 2.06947e-06 6.06991e-06 3.25270e-05 1.23082e-09 -4.06175e-09 -3.51785e-09 5.15191e-09 4.55962e-09 -5.29880e-10 -2.60357e-09 -3.88583e-09 5.49489e-09 3.68496e-08

# precision: tgt 5.00e-03 max 1.99e-02 (398.8%) avg 2.09e-03 (41.9%)

-1.25273e+00 7.23709e-04 4.41074e-04 -1.29118e-02 -4.14575e-09 2.49975e-07 1.51349e-06 -1.55263e-06 3.23295e-06 -3.98935e-05 -1.74721e-09 1.41908e-10 2.30032e-09 -3.43132e-09 -1.02947e-10 1.90177e-09 1.92569e-09 2.22782e-09 2.83092e-09 -4.21466e-08

# precision: tgt 5.00e-03 max 4.34e-03 (86.7%) avg 7.08e-04 (14.2%)

1.72479e+00 -1.11296e-04 8.54325e-04 -3.03533e-02 -3.15765e-08 1.87240e-06 2.32182e-06 -3.49842e-07 1.83416e-06 -9.59016e-05 -2.62339e-10 9.43639e-10 1.33318e-10 -1.16800e-09 2.59650e-09 5.54455e-09 6.89219e-10 -7.73717e-11 6.71146e-10 -9.91073e-08

#cal5k_z4_q3

4 4 2 20

# precision: tgt 5.00e-03 max 5.16e-03 (103.1%) avg 1.19e-03 (23.8%)

1.65892e+00 -8.40263e-04 -6.54904e-04 1.70764e-02 -1.12916e-06 -6.26747e-07 -1.06162e-06 7.30448e-07 -4.39079e-06 5.63057e-05 4.57394e-10 1.15200e-09 -5.23531e-09 2.05856e-09 -6.18755e-09 2.02372e-09 1.82695e-09 -3.76726e-09 -2.52612e-09 5.98442e-08

# precision: tgt 5.00e-03 max 2.61e-02 (521.9%) avg 2.51e-03 (50.1%)

1.77180e+00 2.01014e-03 2.58932e-03 1.29465e-02 5.06059e-06 8.77514e-06 -3.05803e-06 4.02138e-06 3.10118e-06 4.08036e-05 4.59308e-09 7.36088e-09 -2.06007e-09 7.94182e-09 2.56885e-09 -5.88390e-09 2.09624e-09 1.64764e-10 4.23924e-10 4.52796e-08

# precision: tgt 5.00e-03 max 7.96e-03 (159.2%) avg 1.20e-03 (24.0%)

1.76743e+00 -7.17548e-04 -1.96662e-05 -2.92523e-02 -2.49022e-07 -2.27416e-06 4.22420e-07 1.18724e-06 2.11885e-06 -9.20214e-05 -2.07552e-10 -1.97659e-09 1.05345e-09 -9.54019e-10 -1.20969e-09 1.52639e-09 1.71456e-10 4.19613e-09 2.11095e-09 -9.41348e-08

#cal5k_z4_q4

4 4 3 20

# precision: tgt 5.00e-03 max 1.51e-02 (301.2%) avg 3.08e-03 (61.5%)

-3.38490e+00 -1.32379e-03 3.67922e-04 -3.32774e-02 3.03048e-06 -2.09992e-06 8.58049e-07 -1.91350e-06 2.77124e-06 -1.04234e-04 -1.06910e-09 1.71643e-09 4.64476e-09 2.49239e-09 -5.88058e-09 3.80794e-09 -3.02554e-09 3.19018e-09 3.50378e-10 -1.07299e-07

# precision: tgt 5.00e-03 max 2.80e-02 (559.1%) avg 3.87e-03 (77.3%)

2.35730e+00 4.67747e-03 -1.99581e-03 2.86242e-02 -8.61536e-06 1.04642e-05 1.86265e-06 -2.01702e-06 3.54242e-06 8.83449e-05 4.49334e-09 -1.23976e-08 -1.50952e-09 3.85004e-09 -1.97837e-09 4.47095e-09 -7.26324e-10 6.44812e-11 1.16970e-09 9.32708e-08

# precision: tgt 5.00e-03 max 8.21e-03 (164.2%) avg 1.35e-03 (27.0%)

1.25814e+00 4.71459e-04 2.55659e-04 -3.42944e-02 -5.32050e-07 2.06134e-06 -1.97969e-06 1.39456e-06 3.24750e-06 -1.08260e-04 3.03143e-10 -2.28383e-09 4.78758e-10 9.82179e-10 -1.05676e-10 -4.03724e-09 1.18445e-10 5.01787e-09 2.53645e-09 -1.10810e-07

#cal5k_z5_q1

4 5 0 20

# precision: tgt 5.00e-03 max 1.67e-02 (333.9%) avg 2.65e-03 (53.0%)

6.67577e-01 -3.67236e-03 -2.35258e-03 -1.73225e-04 5.85960e-06 9.28388e-06 2.05682e-07 9.06774e-07 -1.62706e-06 -1.88830e-06 -2.43292e-09 -8.20969e-09 2.17336e-09 -3.39191e-09 3.30594e-09 7.28038e-10 1.64675e-09 1.65629e-09 4.62381e-11 -2.16920e-09

# precision: tgt 5.00e-03 max 1.92e-02 (383.4%) avg 2.19e-03 (43.8%)

7.91486e-02 -8.69863e-04 1.39896e-05 -1.57053e-03 5.49732e-07 4.00671e-07 3.87388e-07 -2.10304e-06 1.82644e-06 -5.07380e-06 7.95785e-10 -6.66343e-10 1.17481e-10 3.58949e-09 -2.24553e-10 -8.46058e-11 2.33869e-09 5.28436e-10 -1.23076e-10 -6.23727e-09

# precision: tgt 5.00e-03 max 5.07e-03 (101.3%) avg 4.70e-04 (9.4%)

5.70577e+00 2.62878e-05 -1.32436e-05 6.57110e-03 3.10403e-07 7.16914e-08 3.81748e-07 3.51520e-07 -9.63186e-08 2.16507e-05 1.49073e-10 1.97548e-11 -4.74014e-10 1.06531e-10 -3.31853e-10 -4.78873e-10 3.65075e-10 2.24553e-10 -4.28018e-10 2.69882e-08

#cal5k_z5_q2

4 5 1 20

# precision: tgt 5.00e-03 max 1.14e-02 (228.8%) avg 1.92e-03 (38.4%)

-3.12409e-02 4.38296e-04 -8.08675e-04 -1.00709e-03 1.13636e-06 -3.62327e-06 3.84453e-07 2.84731e-06 1.93812e-06 -2.32858e-06 1.02953e-09 -3.36125e-09 -8.44060e-10 5.10880e-09 6.87215e-10 -1.42206e-09 -2.40405e-09 -9.82275e-10 3.01191e-09 -9.94492e-10

# precision: tgt 5.00e-03 max 1.86e-02 (371.5%) avg 1.95e-03 (38.9%)

3.38696e-01 1.37827e-03 -6.34442e-04 9.50041e-05 6.59365e-07 -1.98461e-06 1.82468e-06 -9.93503e-07 5.02747e-07 -1.03592e-06 -1.09243e-09 -1.50903e-09 9.50533e-10 -1.60604e-09 -3.43760e-10 2.77554e-09 1.61641e-09 9.66252e-10 -1.56006e-09 -3.08723e-09

# precision: tgt 5.00e-03 max 4.77e-03 (95.4%) avg 5.37e-04 (10.7%)

5.28687e+00 2.63892e-04 -1.05389e-04 1.58484e-03 9.04491e-07 -6.09845e-07 2.79687e-07 4.57424e-07 -6.26879e-08 3.07841e-06 1.49276e-10 -6.10237e-10 4.50833e-10 8.61365e-11 -1.07038e-10 1.33024e-10 2.59582e-10 1.59457e-10 -5.44744e-11 4.40838e-09

#cal5k_z5_q3

4 5 2 20

# precision: tgt 5.00e-03 max 4.52e-03 (90.4%) avg 1.07e-03 (21.4%)

4.50022e-02 6.43782e-06 3.65766e-04 2.72119e-04 2.76360e-07 1.79328e-06 -3.88950e-07 1.70003e-06 -2.16497e-06 2.70403e-06 6.21173e-10 1.93753e-09 -2.05324e-09 3.11475e-09 -2.54264e-09 -8.00060e-10 1.70461e-09 -1.83558e-09 -1.77232e-09 4.45268e-09

# precision: tgt 5.00e-03 max 2.63e-02 (525.1%) avg 2.56e-03 (51.2%)

2.57040e-01 1.92666e-03 1.64300e-03 -1.95520e-04 4.88142e-06 6.76327e-06 -6.64038e-07 3.25698e-06 1.35356e-06 -1.13781e-06 4.41401e-09 6.55595e-09 -1.12160e-09 6.32194e-09 1.59623e-09 -1.98431e-09 2.12056e-09 -5.06053e-11 -1.56605e-09 5.03742e-11

# precision: tgt 5.00e-03 max 5.12e-03 (102.5%) avg 6.49e-04 (13.0%)

4.99352e+00 -4.05157e-04 -6.00987e-04 7.45004e-04 -2.54850e-07 -2.11030e-06 1.65727e-06 1.06327e-07 -8.55346e-07 1.73802e-06 -1.74165e-10 -1.44448e-09 -3.88771e-11 -1.13649e-09 -2.13219e-09 4.94731e-09 -3.30227e-10 1.75032e-09 -7.63649e-10 2.74507e-09

#cal5k_z5_q4

4 5 3 20

# precision: tgt 5.00e-03 max 1.38e-02 (276.9%) avg 2.90e-03 (58.1%)

1.48005e-01 -1.11630e-03 -2.15961e-04 4.44150e-04 2.57401e-06 -9.78290e-07 3.21387e-07 -2.32080e-06 1.25140e-06 8.84332e-07 -1.34961e-09 1.85632e-09 2.68360e-09 2.80605e-09 -3.76480e-09 1.34459e-09 -2.68603e-09 1.97753e-09 -8.96475e-10 1.75728e-09

# precision: tgt 5.00e-03 max 2.73e-02 (546.4%) avg 3.87e-03 (77.3%)

-6.60352e-01 4.02566e-03 -2.09785e-03 2.99764e-04 -7.97841e-06 1.04331e-05 -2.40835e-06 -1.52550e-06 3.44338e-06 -2.11243e-06 4.11907e-09 -1.12805e-08 -1.30943e-09 3.08421e-09 5.23987e-10 -4.81168e-09 1.55323e-10 -7.61205e-10 3.92949e-09 -5.70279e-09

# precision: tgt 5.00e-03 max 5.09e-03 (101.8%) avg 6.83e-04 (13.7%)

5.75092e+00 -5.40515e-06 -1.40242e-04 8.18211e-03 -1.48695e-07 1.79245e-06 -3.91368e-06 1.68040e-07 1.97484e-06 2.63304e-05 3.38654e-10 -1.93031e-09 1.19736e-09 1.44836e-09 -7.09512e-10 -6.62527e-09 -4.19118e-10 2.59478e-09 1.88294e-09 3.15090e-08

#cal5k_z6_q1

4 6 0 20

# precision: tgt 5.00e-03 max 1.75e-02 (350.6%) avg 2.44e-03 (48.8%)

8.47993e-01 -4.16033e-03 -2.70494e-03 1.31721e-03 6.49851e-06 1.04566e-05 -1.43521e-06 1.79253e-06 -1.85791e-06 3.15753e-06 -3.04688e-09 -9.72988e-09 1.21511e-09 -4.98522e-09 1.86731e-09 -4.22974e-09 7.10890e-10 7.67469e-10 -2.06615e-09 2.27993e-09

# precision: tgt 5.00e-03 max 2.09e-02 (417.1%) avg 2.08e-03 (41.6%)

3.35958e-01 -1.17985e-03 -2.93052e-04 7.27660e-04 8.71436e-07 1.00573e-06 -7.82749e-07 -1.88777e-06 6.72393e-07 2.40046e-06 4.89142e-10 -1.19713e-09 -9.78676e-11 2.89038e-09 -3.49611e-10 -2.36277e-09 2.17687e-09 -2.53284e-11 -2.65451e-09 1.81571e-09

# precision: tgt 5.00e-03 max 5.89e-03 (117.9%) avg 5.48e-04 (11.0%)

5.07364e+00 -8.42605e-05 -1.93173e-04 -3.64563e-04 8.20710e-07 8.14063e-07 1.61728e-06 7.56127e-07 -7.93808e-08 -2.72052e-06 -6.47320e-11 -6.44156e-10 2.42915e-10 -5.75120e-10 4.46373e-11 3.82799e-09 3.40955e-11 2.06229e-10 -1.24555e-10 -1.33249e-09

#cal5k_z6_q2

4 6 1 20

# precision: tgt 5.00e-03 max 1.15e-02 (230.7%) avg 1.90e-03 (38.0%)

-3.44570e-02 4.24641e-04 -9.59477e-04 -1.44668e-03 1.06167e-06 -3.55179e-06 4.19877e-07 2.92177e-06 1.24701e-06 -5.07757e-06 8.51043e-10 -3.00543e-09 -1.97477e-10 5.07596e-09 7.03235e-10 -1.64022e-09 -2.19239e-09 -3.36354e-10 2.00519e-09 -6.18720e-09

# precision: tgt 5.00e-03 max 2.11e-02 (422.1%) avg 1.87e-03 (37.4%)

4.61187e-01 1.37667e-03 -8.17840e-04 1.39794e-03 1.05279e-06 -3.07049e-06 -5.09313e-07 -6.01290e-07 1.57955e-06 6.55754e-06 -7.06166e-10 -2.49339e-09 3.20945e-11 -4.15893e-10 3.11275e-10 -1.11147e-09 1.29973e-09 -1.39406e-10 -2.76190e-10 1.03482e-08

# precision: tgt 5.00e-03 max 7.00e-03 (140.0%) avg 6.11e-04 (12.2%)

5.04824e+00 -8.92076e-05 1.29591e-06 -1.68768e-04 7.02683e-07 -2.91834e-07 -1.81274e-06 5.55637e-07 3.65820e-07 -1.11922e-06 4.69462e-11 -4.79686e-10 2.11573e-10 2.30410e-10 9.36968e-10 -3.64453e-09 7.18836e-11 -6.06632e-11 -2.52956e-10 9.67716e-10

#cal5k_z6_q3

4 6 2 20

# precision: tgt 5.00e-03 max 5.34e-03 (106.8%) avg 9.36e-04 (18.7%)

9.54755e-02 6.04694e-04 9.30074e-04 -2.98617e-04 1.24819e-06 3.27585e-06 7.49671e-07 2.34262e-06 -8.64735e-07 -5.18988e-07 1.01693e-09 2.83892e-09 -5.14115e-10 4.01626e-09 -9.66711e-10 -6.13071e-10 1.78480e-09 -8.52495e-10 -7.35418e-10 -1.59191e-10

# precision: tgt 5.00e-03 max 2.77e-02 (554.4%) avg 2.56e-03 (51.2%)

5.27611e-02 1.64837e-03 1.24404e-03 -1.65136e-03 4.74076e-06 5.51080e-06 -4.66492e-07 2.93703e-06 1.21622e-06 -7.31951e-06 4.28245e-09 5.97448e-09 -3.51115e-10 5.35335e-09 8.99069e-10 -1.47071e-09 2.17572e-09 1.63453e-10 -1.34118e-09 -9.54013e-09

# precision: tgt 5.00e-03 max 6.04e-03 (120.8%) avg 9.37e-04 (18.7%)

5.09120e+00 6.56637e-05 1.93640e-04 6.13908e-04 8.20344e-07 3.33986e-07 6.90285e-07 1.16601e-06 1.95116e-07 1.27393e-06 6.62342e-10 8.01297e-10 -1.11050e-09 1.15825e-09 -2.54489e-09 5.20093e-09 5.88754e-10 3.10645e-10 2.64763e-09 6.82839e-10

#cal5k_z6_q4

4 6 3 20

# precision: tgt 5.00e-03 max 1.62e-02 (324.1%) avg 2.87e-03 (57.5%)

1.49120e-01 -1.07395e-03 -2.47485e-04 5.87626e-04 2.38907e-06 -1.04387e-06 5.04676e-07 -1.96467e-06 1.85690e-07 2.33636e-06 -1.49916e-09 2.51313e-09 7.68852e-10 1.98010e-09 -1.02018e-09 -1.23830e-09 -2.11694e-09 8.23247e-10 -8.10215e-10 3.47950e-09

# precision: tgt 5.00e-03 max 2.76e-02 (552.0%) avg 3.64e-03 (72.8%)

-8.22652e-01 4.15566e-03 -2.13589e-03 -1.31176e-03 -7.23131e-06 9.24559e-06 1.36516e-06 -6.10116e-07 2.83412e-07 -4.80478e-06 3.83877e-09 -1.00697e-08 -9.89018e-10 1.97480e-09 1.23205e-09 1.61241e-09 9.32167e-10 -8.32699e-10 -1.19788e-09 -6.02025e-09

# precision: tgt 5.00e-03 max 5.72e-03 (114.5%) avg 9.07e-04 (18.1%)

5.14644e+00 -1.35577e-04 1.98879e-04 1.31847e-03 7.63208e-07 -1.64492e-07 -1.42070e-06 1.01157e-06 8.92333e-07 3.53158e-06 -4.90464e-10 4.29529e-10 -4.30715e-10 -7.72678e-10 1.45480e-09 -5.70032e-09 4.35243e-10 6.75016e-10 3.18616e-09 3.58737e-09

#cal5k_z7_q1

4 7 0 20

# precision: tgt 5.00e-03 max 1.77e-02 (354.2%) avg 2.44e-03 (48.8%)

6.78921e-01 -3.85207e-03 -2.47802e-03 -2.17954e-04 6.53940e-06 1.03969e-05 9.25492e-07 1.86247e-06 -1.86077e-07 -1.67411e-06 -3.35232e-09 -1.01775e-08 -1.08008e-10 -5.39002e-09 -3.79481e-11 -2.00388e-09 4.09924e-10 -2.98330e-10 -1.02866e-09 -4.63523e-09

# precision: tgt 5.00e-03 max 2.13e-02 (426.4%) avg 2.02e-03 (40.5%)

2.19519e-01 -1.09839e-03 -1.00948e-04 -6.57323e-04 1.12836e-06 1.18945e-06 9.87208e-07 -1.92763e-06 2.76967e-06 -1.98242e-06 2.53168e-10 -1.77581e-09 -7.34800e-10 2.54309e-09 -2.34170e-09 -7.54640e-10 2.13843e-09 -9.88770e-10 -5.49147e-10 -4.70072e-09

# precision: tgt 5.00e-03 max 4.55e-03 (91.0%) avg 5.12e-04 (10.2%)

4.71089e+00 -3.23987e-04 -1.37375e-04 -6.92322e-03 6.07554e-07 6.65810e-07 -1.74080e-06 5.95969e-07 -1.20406e-07 -4.22194e-05 -2.31688e-10 -8.64320e-10 -1.65280e-09 -7.19622e-10 -1.39071e-09 -8.13054e-09 -1.25364e-10 -1.20263e-09 -2.37012e-09 -8.05275e-08

#cal5k_z7_q2

4 7 1 20

# precision: tgt 5.00e-03 max 1.27e-02 (253.8%) avg 1.88e-03 (37.5%)

7.67579e-02 3.12975e-04 -9.33600e-04 2.99948e-04 5.72947e-07 -2.78484e-06 1.88725e-06 2.62594e-06 -5.14779e-07 6.32306e-07 6.04558e-10 -2.18765e-09 -2.99719e-10 4.42430e-09 5.53784e-11 1.46022e-09 -2.05279e-09 -1.77990e-10 -1.48157e-09 -6.62223e-10

# precision: tgt 5.00e-03 max 2.13e-02 (426.4%) avg 1.73e-03 (34.6%)

3.55226e-01 1.58232e-03 -8.95866e-04 -5.15740e-04 1.40860e-06 -3.69496e-06 -5.28635e-07 -3.84447e-07 2.51184e-06 -1.73009e-06 -5.08093e-10 -3.12639e-09 -9.38258e-11 5.36575e-11 6.55266e-10 -6.05286e-10 1.23588e-09 -1.33481e-10 1.81943e-09 -1.98200e-09

# precision: tgt 5.00e-03 max 4.61e-03 (92.2%) avg 5.44e-04 (10.9%)

4.85836e+00 6.59015e-04 -3.85620e-04 -5.16862e-03 1.18308e-06 -1.41503e-06 2.91971e-06 8.94081e-07 -7.83279e-07 -3.28553e-05 4.84655e-10 -1.32378e-09 -9.17455e-11 1.01616e-09 -5.88901e-10 6.99550e-09 -2.58510e-10 -6.29832e-10 -1.51224e-09 -6.05276e-08

#cal5k_z7_q3

4 7 2 20

# precision: tgt 5.00e-03 max 4.80e-03 (96.0%) avg 9.48e-04 (19.0%)

1.68850e-01 7.08359e-04 1.04491e-03 5.45666e-04 1.37569e-06 3.51675e-06 9.38899e-07 2.40215e-06 -4.62981e-07 3.87964e-06 1.03013e-09 2.87830e-09 -9.71630e-11 4.02576e-09 -2.05957e-10 -1.20501e-09 1.65377e-09 -2.24789e-10 -1.08090e-09 8.54878e-09

# precision: tgt 5.00e-03 max 2.94e-02 (588.5%) avg 2.63e-03 (52.5%)

1.73945e-01 1.51236e-03 1.03896e-03 6.38865e-04 4.42070e-06 4.53789e-06 7.23479e-07 2.51222e-06 2.19255e-06 2.05519e-06 4.08389e-09 5.17838e-09 2.27514e-10 4.33135e-09 1.80793e-09 -9.03095e-11 1.97269e-09 7.43132e-10 -4.75106e-10 4.40289e-09

# precision: tgt 5.00e-03 max 5.71e-03 (114.1%) avg 1.01e-03 (20.1%)

5.03820e+00 7.59154e-04 7.59032e-04 -2.56838e-03 1.50210e-06 1.72985e-06 2.85684e-06 1.43024e-06 2.41682e-06 -1.93654e-05 5.19725e-10 8.93715e-10 2.56016e-09 1.10460e-09 3.92866e-09 -3.28059e-10 4.54470e-10 2.22174e-09 -1.86066e-10 -3.13625e-08

#cal5k_z7_q4

4 7 3 20

# precision: tgt 5.00e-03 max 1.62e-02 (323.7%) avg 2.82e-03 (56.4%)

-8.93145e-03 -1.02587e-03 -1.85493e-04 -2.13250e-03 2.71756e-06 -1.93907e-06 3.50799e-06 -1.56357e-06 -1.94966e-06 -8.91626e-06 -1.84708e-09 3.54910e-09 -5.76837e-10 9.25783e-10 4.61599e-10 4.18509e-09 -1.71524e-09 -3.91240e-10 -4.37338e-09 -1.23317e-08

# precision: tgt 5.00e-03 max 2.84e-02 (567.4%) avg 3.69e-03 (73.8%)

-6.68002e-01 3.81905e-03 -1.92596e-03 3.34166e-04 -6.87370e-06 8.78709e-06 -9.37149e-07 -2.86852e-07 1.48180e-06 4.24327e-07 3.71088e-09 -9.96756e-09 5.02054e-10 1.86220e-09 -1.32550e-09 -2.62539e-10 1.15997e-09 9.37432e-11 -1.26626e-09 1.04675e-09

# precision: tgt 5.00e-03 max 6.08e-03 (121.7%) avg 9.63e-04 (19.3%)

4.97019e+00 -5.37738e-04 5.51392e-04 -3.22883e-03 1.05702e-06 -8.71603e-07 -2.75674e-06 9.66673e-07 2.85821e-06 -2.45082e-05 -3.88029e-10 4.19879e-10 1.24886e-09 -5.23675e-10 -2.35814e-09 -2.84139e-09 2.13926e-10 1.64302e-09 3.07353e-09 -4.59099e-08

#cal5k_z8_q1

4 8 0 20

# precision: tgt 5.00e-03 max 1.69e-02 (338.3%) avg 2.36e-03 (47.2%)

7.69202e-01 -4.06351e-03 -2.74841e-03 5.71380e-04 6.93220e-06 1.13567e-05 1.36188e-06 2.36903e-06 1.98215e-08 3.67964e-06 -3.69612e-09 -1.10554e-08 -9.20061e-10 -6.38612e-09 -5.24257e-10 -1.92914e-09 6.94899e-11 -7.09753e-10 -9.56953e-10 7.52702e-09

# precision: tgt 5.00e-03 max 2.16e-02 (431.6%) avg 2.08e-03 (41.7%)

3.56774e-01 -1.58523e-03 -5.54740e-04 -1.70884e-06 1.84606e-06 2.67396e-06 4.94363e-07 -1.44256e-06 1.87272e-06 7.64551e-08 -1.99342e-10 -3.05457e-09 -1.12367e-09 1.57553e-09 -1.28605e-09 -1.23055e-09 1.92405e-09 -9.74246e-10 -1.41354e-09 -1.55333e-09

# precision: tgt 5.00e-03 max 4.51e-03 (90.1%) avg 5.08e-04 (10.2%)

5.13912e+00 -2.82023e-04 -2.65381e-04 2.62882e-04 8.41115e-07 1.05375e-06 3.83702e-07 7.83453e-07 -5.44511e-07 -6.56650e-07 -1.01923e-10 -8.49574e-10 2.22223e-10 -6.66773e-10 1.02411e-09 3.44723e-09 -8.58904e-11 1.15194e-10 -1.44088e-10 2.55571e-09

#cal5k_z8_q2

4 8 1 20

# precision: tgt 5.00e-03 max 1.37e-02 (273.2%) avg 1.84e-03 (36.7%)

-4.29473e-02 -9.03381e-05 -5.44075e-04 -3.95269e-04 -3.08477e-08 -1.45781e-06 1.71540e-06 2.09088e-06 -2.14652e-07 -3.01566e-06 1.19563e-10 -8.55979e-10 9.85684e-10 3.23831e-09 -6.70125e-10 -7.34048e-10 -1.70646e-09 5.49998e-10 3.34686e-10 -7.32303e-09

# precision: tgt 5.00e-03 max 2.20e-02 (440.4%) avg 1.79e-03 (35.7%)

4.66799e-01 2.04441e-03 -1.32137e-03 -3.19835e-04 2.17357e-06 -5.09922e-06 -4.26828e-07 1.11733e-07 1.94351e-06 -2.51585e-06 5.46666e-12 -4.50610e-09 -7.08679e-10 1.12227e-09 8.34788e-10 -1.73911e-10 9.42705e-10 -6.54473e-10 3.76723e-10 -6.23732e-09

# precision: tgt 5.00e-03 max 5.10e-03 (102.0%) avg 4.90e-04 (9.8%)

5.09474e+00 1.41541e-04 -1.25231e-04 -1.50738e-04 7.87030e-07 -7.80432e-07 -1.37805e-06 6.89144e-07 5.77696e-07 -1.33181e-06 1.74478e-10 -8.93713e-10 -6.20182e-10 6.12675e-10 9.89611e-10 -3.70009e-09 -1.04555e-10 -6.35731e-10 1.92761e-10 1.13928e-09

#cal5k_z8_q3

4 8 2 20

# precision: tgt 5.00e-03 max 4.71e-03 (94.2%) avg 9.69e-04 (19.4%)

1.05009e-01 6.34229e-04 9.01115e-04 -7.76119e-05 1.29081e-06 2.98460e-06 1.46093e-06 2.09748e-06 4.55521e-09 -1.18084e-07 9.17252e-10 2.45759e-09 7.74491e-10 3.41008e-09 1.85207e-10 -7.69297e-10 1.41096e-09 3.10607e-10 -1.73819e-10 -7.09272e-11

# precision: tgt 5.00e-03 max 2.87e-02 (573.9%) avg 2.64e-03 (52.7%)

5.13032e-02 1.08076e-03 6.03141e-04 4.07466e-04 3.89188e-06 2.91452e-06 1.39713e-06 1.99858e-06 2.61554e-06 2.37837e-07 3.83399e-09 3.80672e-09 1.49532e-09 3.00406e-09 2.80156e-09 -3.26499e-10 1.75595e-09 1.78933e-09 -1.50421e-09 1.48403e-09

# precision: tgt 5.00e-03 max 5.76e-03 (115.3%) avg 9.97e-04 (19.9%)

5.13140e+00 2.29188e-04 3.85358e-04 4.46246e-05 7.28497e-07 9.02279e-07 -6.87643e-07 9.96418e-07 7.25134e-08 -7.48261e-07 4.96127e-11 5.78652e-10 -4.62697e-10 8.24890e-10 -8.50197e-10 -1.15018e-09 3.32663e-10 -1.03638e-10 1.69041e-09 -8.44407e-11

#cal5k_z8_q4

4 8 3 20

# precision: tgt 5.00e-03 max 1.50e-02 (300.6%) avg 2.65e-03 (53.0%)

2.18535e-01 -1.55438e-03 3.65273e-04 -2.41960e-05 3.34016e-06 -3.20038e-06 1.58271e-06 -8.89866e-07 7.67808e-08 -5.95883e-07 -2.25647e-09 4.59236e-09 -6.27026e-10 -1.57807e-10 -4.83262e-11 1.32869e-11 -1.32827e-09 -1.20281e-10 -2.61762e-10 -1.08942e-09

# precision: tgt 5.00e-03 max 2.88e-02 (576.0%) avg 3.80e-03 (76.0%)

-6.90200e-01 3.84881e-03 -1.75749e-03 3.29215e-04 -6.58732e-06 8.32893e-06 -1.05009e-07 4.42432e-07 1.36282e-06 2.61256e-06 3.37308e-09 -9.36203e-09 1.69072e-10 8.59022e-10 1.46312e-10 -5.94841e-10 1.75774e-09 3.39954e-10 -6.56067e-11 6.36637e-09

# precision: tgt 5.00e-03 max 5.24e-03 (104.8%) avg 9.81e-04 (19.6%)

5.08471e+00 -4.48941e-05 5.95652e-05 2.41049e-04 5.13430e-07 1.87923e-08 4.62275e-07 3.52370e-07 2.45466e-07 2.30031e-07 -2.18328e-12 -2.24022e-11 -2.90780e-10 1.39919e-10 5.22683e-10 4.92134e-10 -6.22536e-11 -9.20848e-11 1.91009e-09 1.89795e-09

#cal5k_z9_q1

4 9 0 20

# precision: tgt 5.00e-03 max 1.65e-02 (330.7%) avg 2.25e-03 (44.9%)

7.74905e-01 -4.24886e-03 -3.02021e-03 4.58632e-05 7.40870e-06 1.23131e-05 1.82155e-06 3.07498e-06 3.98830e-07 1.41699e-06 -4.05197e-09 -1.18743e-08 -9.06250e-10 -7.55727e-09 -1.31569e-09 -2.48993e-09 -4.26456e-10 -9.67643e-10 -2.53281e-09 -4.32090e-10

# precision: tgt 5.00e-03 max 2.23e-02 (445.1%) avg 2.18e-03 (43.5%)

4.17484e-01 -1.96823e-03 -8.67965e-04 -4.68122e-04 2.50217e-06 4.03439e-06 1.63676e-06 -9.72092e-07 3.13025e-06 -6.42669e-07 -4.54151e-10 -4.33624e-09 -1.51585e-09 4.93393e-10 -3.15512e-09 -5.43551e-10 1.74193e-09 -1.81875e-09 -1.57723e-09 -4.38196e-09

# precision: tgt 5.00e-03 max 5.25e-03 (105.0%) avg 5.72e-04 (11.4%)

5.11700e+00 -2.85868e-04 -2.28368e-04 2.59999e-04 9.58858e-07 1.21006e-06 1.21137e-06 9.85815e-07 1.49334e-06 9.46261e-06 -2.92658e-10 -1.27550e-09 -1.03635e-09 -1.11901e-09 -1.94542e-09 6.24382e-10 -3.08005e-10 -6.41894e-10 3.98716e-09 6.23476e-08

#cal5k_z9_q2

4 9 1 20

# precision: tgt 5.00e-03 max 1.34e-02 (267.9%) avg 1.91e-03 (38.2%)

-8.22071e-02 -4.97245e-04 -1.44966e-04 2.12278e-04 -9.40073e-07 1.05263e-07 2.50680e-06 1.24490e-06 -9.41708e-07 -1.67738e-06 -4.63191e-10 6.78737e-10 1.14626e-09 1.70296e-09 -2.46024e-09 -2.17096e-09 -1.19251e-09 8.98571e-10 2.55040e-09 -2.46114e-09

# precision: tgt 5.00e-03 max 2.19e-02 (438.7%) avg 1.86e-03 (37.3%)

5.80749e-01 2.61467e-03 -1.75287e-03 5.07269e-04 3.25511e-06 -6.65971e-06 7.15769e-07 6.99589e-07 6.40337e-07 3.51756e-06 6.52392e-10 -6.06590e-09 -1.98808e-11 2.13738e-09 8.08481e-11 4.86149e-09 6.77716e-10 1.22580e-10 -4.91776e-09 3.58940e-09

# precision: tgt 5.00e-03 max 4.08e-03 (81.6%) avg 4.40e-04 (8.8%)

5.17453e+00 5.28525e-04 -3.62951e-04 1.45247e-03 1.43295e-06 -1.58306e-06 1.67943e-06 1.13182e-06 -1.99013e-07 1.64846e-05 6.01326e-10 -1.53284e-09 1.33356e-09 1.21690e-09 -1.32352e-09 3.62911e-09 -3.87587e-10 3.62920e-10 2.80700e-09 8.17287e-08

#cal5k_z9_q3

4 9 2 20

# precision: tgt 5.00e-03 max 5.02e-03 (100.4%) avg 1.03e-03 (20.5%)

7.04899e-02 4.55005e-04 6.95287e-04 -7.55153e-05 9.97935e-07 2.35548e-06 1.23785e-06 1.73282e-06 -1.74877e-07 1.75301e-07 8.03103e-10 2.05622e-09 3.19214e-11 2.82844e-09 -2.57997e-10 1.01339e-10 1.23539e-09 5.93151e-11 -4.68096e-10 1.25886e-09

# precision: tgt 5.00e-03 max 2.95e-02 (589.6%) avg 2.69e-03 (53.7%)

-1.30320e-01 2.16509e-04 -2.13875e-04 -8.03805e-05 2.61909e-06 1.99147e-07 -1.53067e-07 7.37134e-07 1.91310e-06 -1.79550e-06 3.30951e-09 1.73601e-09 4.18156e-12 9.55183e-10 5.95208e-10 -1.95175e-09 1.17739e-09 6.27571e-10 8.30960e-10 -4.84545e-09

# precision: tgt 5.00e-03 max 5.37e-03 (107.3%) avg 9.73e-04 (19.5%)

5.10452e+00 2.55773e-04 3.41897e-04 -8.82436e-05 9.90080e-07 1.04846e-06 -1.07262e-06 1.10327e-06 -1.08313e-06 5.04406e-06 3.22848e-10 8.16564e-10 1.74955e-10 1.04610e-09 -1.04863e-09 -3.72024e-09 3.97739e-10 3.08296e-10 -3.22964e-09 4.16720e-08

#cal5k_z9_q4

4 9 3 20

# precision: tgt 5.00e-03 max 1.52e-02 (304.0%) avg 2.74e-03 (54.7%)

2.64760e-01 -1.75575e-03 5.34483e-04 3.21393e-04 3.60246e-06 -3.73396e-06 8.13894e-07 -6.84272e-07 4.25703e-07 2.36657e-06 -2.30449e-09 4.97406e-09 -5.83989e-11 -5.55400e-10 1.46228e-10 -5.33492e-09 -1.29156e-09 -7.75645e-12 3.63868e-09 -2.75039e-09

# precision: tgt 5.00e-03 max 2.91e-02 (581.2%) avg 3.82e-03 (76.3%)

-7.05013e-01 3.99905e-03 -1.73809e-03 2.33410e-04 -7.13070e-06 8.77626e-06 -1.44859e-06 4.47700e-07 2.88263e-06 -2.29291e-06 3.87287e-09 -1.03185e-08 1.96374e-09 1.19501e-09 -3.03502e-09 3.68432e-09 1.75104e-09 1.37584e-09 -7.82782e-10 -1.79408e-09

# precision: tgt 5.00e-03 max 5.49e-03 (109.9%) avg 9.67e-04 (19.3%)

5.05567e+00 -1.26752e-04 1.11516e-04 -4.55999e-04 8.96415e-07 -4.75582e-07 1.57337e-06 6.98998e-07 -1.49905e-06 1.94170e-06 -3.40324e-10 5.03045e-10 1.67658e-10 -4.45009e-10 9.40954e-10 6.82008e-09 1.46827e-10 4.63925e-10 -7.05758e-09 3.88589e-08

#its5k_z0_q1

0 0 0 20

# precision: tgt 5.00e-03 max 1.41e-02 (281.0%) avg 7.27e-04 (14.5%)

-4.21748e+00 2.41701e-02 -4.57315e-04 -1.97970e-02 -4.05774e-05 3.97418e-05 6.25100e-05 7.34428e-07 1.50314e-06 -2.72758e-05 9.48462e-08 -9.17108e-09 -7.62562e-08 -3.20058e-09 7.17005e-08 8.97794e-09 -3.60666e-08 -1.12534e-08 4.07032e-09 -8.82723e-09

# precision: tgt 5.00e-03 max 6.55e-03 (131.1%) avg 5.63e-04 (11.3%)

-1.05565e+01 7.78143e-04 -8.52568e-03 -6.09317e-02 8.50073e-06 -1.36116e-05 3.42114e-06 9.47311e-05 -5.59267e-05 -1.17125e-04 1.23542e-08 3.94401e-08 1.96262e-08 8.67137e-09 -3.12391e-08 3.96963e-09 1.58319e-08 1.82752e-07 -9.81668e-08 -7.48561e-08

# precision: tgt 5.00e-03 max 1.49e-02 (297.7%) avg 1.15e-03 (23.0%)

2.15872e+00 2.33351e-03 -4.53149e-02 -7.06832e-03 -7.28890e-05 -8.44099e-05 1.47562e-05 -1.03248e-04 -1.88619e-04 1.37236e-05 1.02418e-07 1.20516e-07 -1.63979e-07 4.75300e-08 -1.46841e-07 2.51385e-08 1.46398e-07 -2.24458e-07 -1.93420e-07 4.06510e-08

#its5k_z0_q2

0 0 1 20

# precision: tgt 5.00e-03 max 1.47e-02 (293.8%) avg 8.39e-04 (16.8%)

1.61665e+01 -3.29413e-02 1.52500e-02 9.83298e-02 -8.98825e-05 5.47412e-06 -1.61215e-04 -3.08428e-05 5.91688e-05 2.00961e-04 1.72821e-07 -4.34627e-08 -2.18305e-07 5.85494e-08 1.55204e-08 -2.09345e-07 -1.36288e-08 -6.72950e-08 5.72277e-08 1.38192e-07

# precision: tgt 5.00e-03 max 6.69e-03 (133.8%) avg 5.65e-04 (11.3%)

-8.88035e+00 1.53360e-02 -2.34155e-02 -5.22746e-02 -8.20509e-06 -7.30136e-05 6.09806e-05 8.28680e-05 -1.14607e-04 -1.02478e-04 -2.69494e-08 7.18214e-08 -1.01144e-08 -3.44632e-08 -1.57618e-07 6.02135e-08 1.45864e-08 1.58856e-07 -1.56022e-07 -6.67832e-08

# precision: tgt 5.00e-03 max 1.45e-02 (291.0%) avg 1.26e-03 (25.2%)

1.52670e+01 8.21451e-02 -3.38608e-02 6.91421e-02 -1.91502e-04 1.58552e-04 3.60601e-04 -1.39448e-04 -1.49795e-04 1.61141e-04 -2.16882e-07 1.11302e-07 -3.89340e-07 -1.48880e-07 2.90562e-07 3.92333e-07 1.48584e-07 -2.93142e-07 -1.61076e-07 1.35530e-07

#its5k_z0_q3

0 0 2 20

# precision: tgt 5.00e-03 max 1.29e-02 (258.0%) avg 1.04e-03 (20.8%)

1.77514e+01 -2.65318e-02 -7.10286e-03 1.06799e-01 -6.20488e-05 4.66663e-05 -1.42222e-04 -5.94975e-06 -3.29086e-05 2.16185e-04 1.98118e-07 1.52141e-07 -1.73318e-07 1.20650e-07 6.59107e-08 -1.95783e-07 2.79393e-08 -2.37201e-08 -3.63967e-08 1.47409e-07

# precision: tgt 5.00e-03 max 1.11e-02 (221.1%) avg 9.10e-04 (18.2%)

1.07086e+01 -8.16785e-03 -6.35828e-03 6.21141e-02 2.23417e-05 -3.35234e-05 -3.61860e-05 -1.06409e-05 -5.95202e-05 1.20291e-04 3.72206e-08 1.05903e-07 3.39055e-08 1.24920e-07 -9.48161e-08 -3.87339e-08 1.09037e-07 -4.19146e-08 -1.12103e-07 7.78810e-08

# precision: tgt 5.00e-03 max 3.09e-02 (617.5%) avg 2.54e-03 (50.7%)

1.38621e+01 6.65974e-02 1.19493e-02 6.30107e-02 -2.83094e-04 -3.00922e-04 3.19097e-04 -2.72439e-04 9.07111e-05 1.52247e-04 -2.73323e-07 -2.64265e-07 -5.50973e-07 -3.28579e-07 -5.31260e-07 3.68962e-07 -2.98185e-07 -5.15385e-07 1.27624e-07 1.31131e-07

#its5k_z0_q4

0 0 3 20

# precision: tgt 5.00e-03 max 1.34e-02 (268.8%) avg 9.54e-04 (19.1%)

-5.44548e+00 3.10348e-02 -7.03787e-03 -2.61072e-02 -7.56111e-05 2.11002e-05 8.18508e-05 -3.15168e-05 -2.34092e-05 -3.82175e-05 1.10928e-07 -8.57593e-08 -1.37678e-07 6.68518e-08 2.74417e-08 2.13200e-08 -6.63758e-12 -6.41704e-08 -1.91162e-08 -1.52578e-08

# precision: tgt 5.00e-03 max 1.05e-02 (210.9%) avg 8.07e-04 (16.1%)

1.12778e+01 -6.77562e-03 7.49004e-03 6.43809e-02 1.40609e-05 -5.21741e-05 -2.22758e-05 -3.03331e-05 -3.40876e-06 1.22625e-04 -3.88952e-08 7.97707e-08 1.75824e-08 -9.00515e-08 -9.34107e-08 -1.83810e-08 9.42960e-08 -7.67579e-08 -5.55963e-08 7.80373e-08

# precision: tgt 5.00e-03 max 3.08e-02 (616.9%) avg 2.49e-03 (49.8%)

-7.44050e-01 2.03201e-02 1.86628e-02 -2.13937e-02 -1.59614e-04 2.35761e-04 6.60276e-05 -2.42402e-04 1.12253e-04 -1.00824e-05 1.64189e-07 -2.71063e-07 -3.14952e-07 2.32205e-07 4.05658e-07 5.83574e-08 -2.99914e-07 -4.57998e-07 1.44271e-07 2.72257e-08

#its5k_z1_q1

0 1 0 20

# precision: tgt 5.00e-03 max 2.91e-03 (58.3%) avg 3.83e-04 (7.7%)

3.67798e+00 -2.74966e-02 -8.41407e-03 2.32269e-02 -4.90095e-05 -1.59930e-05 -1.45247e-04 -2.06329e-05 -3.73383e-05 4.99478e-05 4.02070e-08 -4.88763e-09 -1.07722e-07 4.79334e-08 -3.34127e-08 -2.00921e-07 -5.32926e-09 -4.54578e-08 -4.12056e-08 3.66712e-08

# precision: tgt 5.00e-03 max 3.19e-03 (63.8%) avg 3.80e-04 (7.6%)

3.42244e+00 -3.75039e-03 -3.61437e-02 2.05738e-02 -9.31873e-06 -3.37105e-05 -1.79180e-05 -1.44070e-05 -1.80648e-04 4.09230e-05 -6.97286e-09 4.78305e-08 -2.07417e-08 -7.82082e-09 -7.39111e-08 -2.10486e-08 4.20661e-08 -3.08536e-08 -2.37071e-07 2.70350e-08

# precision: tgt 5.00e-03 max 1.84e-03 (36.8%) avg 1.94e-04 (3.9%)

1.22304e+01 9.61825e-03 -2.24239e-03 5.47133e-02 -7.14934e-05 -7.61344e-06 4.80441e-05 -8.88352e-05 -1.14158e-05 1.40278e-04 -4.45390e-09 1.61276e-08 -1.90701e-07 -4.58538e-09 -1.33305e-08 6.02217e-08 1.35791e-08 -2.27083e-07 -1.35387e-08 1.27145e-07

#its5k_z1_q2

0 1 1 20

# precision: tgt 5.00e-03 max 2.77e-03 (55.4%) avg 3.62e-04 (7.2%)

-1.15667e+00 -3.92849e-02 -3.30101e-04 -5.73406e-03 -8.33256e-06 -1.71306e-05 -1.96050e-04 -4.42256e-06 6.60952e-07 -7.40706e-06 6.35213e-08 -5.79837e-10 -2.74223e-08 5.87411e-08 -3.56041e-08 -2.55601e-07 -2.41198e-09 -1.18838e-08 2.80359e-09 -8.40935e-10

# precision: tgt 5.00e-03 max 2.94e-03 (58.8%) avg 3.62e-04 (7.2%)

2.41510e+00 1.38578e-02 -4.16782e-02 1.37480e-02 -1.10794e-05 6.44602e-07 6.03153e-05 -2.07271e-05 -2.04848e-04 2.55883e-05 -5.95271e-10 5.84254e-08 -2.31191e-08 3.86501e-09 -3.37455e-09 6.54695e-08 4.51139e-08 -4.37712e-08 -2.63465e-07 1.56057e-08

# precision: tgt 5.00e-03 max 1.93e-03 (38.6%) avg 2.31e-04 (4.6%)

1.73895e+01 9.78496e-03 3.33086e-03 8.79102e-02 -1.19426e-04 3.73212e-05 5.64086e-05 -1.03645e-04 9.54770e-06 2.11310e-04 -2.52839e-08 8.95255e-09 -2.93541e-07 -2.46505e-08 7.74890e-08 7.69530e-08 1.27236e-08 -2.58422e-07 5.88459e-09 1.77690e-07

#its5k_z1_q3

0 1 2 20

# precision: tgt 5.00e-03 max 3.92e-03 (78.5%) avg 4.63e-04 (9.3%)

-3.09912e+00 -4.19808e-02 -3.50759e-03 -1.71448e-02 1.25918e-05 3.54359e-05 -2.11095e-04 5.98086e-07 -1.79580e-05 -2.95505e-05 6.06498e-08 1.99134e-08 1.55538e-08 5.68840e-08 7.01375e-08 -2.75089e-07 7.50377e-09 -2.71837e-09 -2.20424e-08 -1.50176e-08

# precision: tgt 5.00e-03 max 3.39e-03 (67.9%) avg 4.03e-04 (8.1%)

-3.72176e+00 -1.05870e-02 -4.01332e-02 -2.15446e-02 2.04003e-05 1.05631e-05 -4.85909e-05 3.31491e-05 -2.00967e-04 -4.10921e-05 8.65399e-09 4.45994e-08 4.05321e-08 1.13060e-08 1.66130e-08 -5.51896e-08 5.17870e-08 6.60809e-08 -2.61999e-07 -2.56322e-08

# precision: tgt 5.00e-03 max 2.57e-03 (51.4%) avg 3.11e-04 (6.2%)

1.71891e+01 8.74322e-03 -4.21678e-03 8.68671e-02 -1.20004e-04 -3.73694e-05 5.22676e-05 -1.09445e-04 -1.09101e-05 2.09544e-04 -2.72356e-08 -1.86030e-08 -2.93982e-07 -2.86169e-08 -7.62728e-08 7.27873e-08 -2.14369e-08 -2.69281e-07 -4.02481e-09 1.76726e-07

#its5k_z1_q4

0 1 3 20

# precision: tgt 5.00e-03 max 2.67e-03 (53.5%) avg 3.69e-04 (7.4%)

5.17219e+00 -2.85450e-02 5.49110e-03 3.26464e-02 -4.86835e-05 1.75450e-05 -1.49625e-04 -2.10669e-05 2.53776e-05 6.97284e-05 4.03589e-08 4.72791e-09 -1.06878e-07 4.18733e-08 3.62226e-08 -2.05490e-07 -7.07480e-10 -4.51027e-08 2.89342e-08 5.05081e-08

# precision: tgt 5.00e-03 max 2.26e-03 (45.1%) avg 3.50e-04 (7.0%)

-2.15025e+00 2.54721e-03 -2.73724e-02 -1.28888e-02 8.58009e-06 -3.25751e-05 1.26034e-05 2.66405e-05 -1.46263e-04 -2.55725e-05 -5.26814e-09 4.58194e-08 1.67357e-08 -1.06448e-08 -6.98523e-08 1.51849e-08 4.72406e-08 5.32619e-08 -2.03462e-07 -1.66553e-08

# precision: tgt 5.00e-03 max 2.21e-03 (44.2%) avg 3.03e-04 (6.1%)

1.29625e+01 1.43664e-02 -2.76253e-03 5.98206e-02 -6.95198e-05 1.68179e-05 6.76322e-05 -9.75854e-05 -6.34105e-06 1.51972e-04 -1.91693e-09 -2.54414e-08 -1.85911e-07 1.91190e-09 3.13044e-08 8.04610e-08 -2.00512e-08 -2.44785e-07 -8.17016e-10 1.35959e-07

#its5k_z10_q1

0 10 0 20

# precision: tgt 5.00e-03 max 2.89e-04 (5.8%) avg 2.28e-05 (0.5%)

-2.09458e-04 1.12620e-05 6.62752e-06 -1.55606e-05 -7.50853e-08 1.25966e-07 1.62161e-06 -1.98981e-07 2.40474e-07 4.81524e-08 4.63721e-10 -9.77056e-10 -5.44972e-11 -7.64010e-10 -5.62251e-10 -6.77770e-10 1.00966e-09 -1.99970e-09 9.28505e-10 -1.11401e-10

# precision: tgt 5.00e-03 max 1.61e-04 (3.2%) avg 2.79e-05 (0.6%)

-2.55776e-04 2.71815e-06 1.03852e-05 3.63188e-05 2.46061e-08 -1.95315e-07 8.15764e-09 8.29883e-08 1.75634e-06 -4.63545e-09 -4.08547e-10 1.05474e-09 -2.75922e-10 4.47122e-10 -7.97223e-10 -1.86405e-10 -8.24412e-10 -9.15632e-10 -2.29271e-10 8.21826e-11

# precision: tgt 5.00e-03 max 4.08e-04 (8.2%) avg 3.76e-05 (0.8%)

5.00684e+00 -1.21940e-05 5.01833e-05 -1.07259e-05 9.21339e-07 -2.92264e-07 2.56853e-07 7.96562e-07 9.14719e-08 -1.45022e-06 -1.00410e-09 -3.50428e-10 -1.15584e-09 3.15200e-09 -1.95193e-09 -6.28617e-10 -1.18796e-09 -9.29010e-10 -7.12691e-10 5.83560e-10

#its5k_z10_q2

0 10 1 20

# precision: tgt 5.00e-03 max 2.18e-04 (4.4%) avg 2.11e-05 (0.4%)

-1.24287e-04 2.01273e-05 -7.50685e-06 -1.08200e-05 1.20223e-08 4.68952e-09 1.92465e-06 1.39262e-07 4.53576e-08 3.54420e-08 -8.19983e-11 6.50309e-10 2.91479e-09 2.59211e-10 1.14475e-12 4.17994e-10 -7.49466e-10 5.62175e-10 5.28312e-10 -3.45802e-10

# precision: tgt 5.00e-03 max 3.34e-04 (6.7%) avg 2.20e-05 (0.4%)

-8.30696e-05 -1.17545e-05 -4.31927e-07 3.81773e-05 -9.96155e-08 2.15669e-07 -1.13950e-07 3.09489e-07 1.72797e-06 3.45954e-09 2.65753e-10 3.14403e-09 -1.06028e-09 3.62424e-10 1.57141e-09 1.84949e-10 -2.32437e-09 -6.46669e-10 -1.62683e-10 -7.20358e-11

# precision: tgt 5.00e-03 max 4.30e-04 (8.6%) avg 3.56e-05 (0.7%)

5.00697e+00 -9.36541e-06 3.62072e-05 -1.60458e-05 7.34909e-07 1.58872e-07 1.49985e-07 9.66624e-07 1.20523e-07 -1.58862e-06 -6.93461e-10 2.71022e-09 9.43142e-10 1.26212e-09 1.39675e-09 -5.72623e-10 -8.43429e-10 -4.74871e-10 4.43498e-10 7.62651e-11

#its5k_z10_q3

0 10 2 20

# precision: tgt 5.00e-03 max 2.16e-04 (4.3%) avg 2.20e-05 (0.4%)

-3.00011e-04 1.18569e-05 8.95962e-06 -1.09340e-05 -8.09538e-08 8.86477e-08 1.64428e-06 1.61509e-07 1.25554e-07 6.61960e-08 -6.55580e-11 -7.08079e-10 -7.48888e-10 3.85556e-10 2.77891e-09 -4.00269e-11 1.02533e-09 5.39137e-10 3.18780e-10 -2.76312e-10

# precision: tgt 5.00e-03 max 1.86e-04 (3.7%) avg 1.82e-05 (0.4%)

3.25341e-04 2.12269e-06 1.20375e-05 4.55046e-05 -8.81419e-08 1.60709e-07 1.35715e-07 -4.85845e-08 1.71633e-06 -8.68907e-09 -1.08347e-09 1.38011e-09 1.20396e-09 5.67216e-10 4.51929e-10 1.70612e-10 -7.47964e-10 8.62448e-10 3.14683e-10 -3.13109e-10

# precision: tgt 5.00e-03 max 3.13e-04 (6.3%) avg 4.13e-05 (0.8%)

5.00704e+00 -1.30550e-05 4.87884e-05 -1.46600e-05 6.07612e-07 -6.02729e-08 1.45040e-07 9.23615e-07 -1.14392e-07 -1.57182e-06 -1.53287e-09 -2.63085e-09 8.81209e-10 2.39235e-09 -1.66042e-09 -6.06194e-10 2.17963e-10 4.42581e-11 -8.55305e-10 2.61118e-10

#its5k_z10_q4

0 10 3 20

# precision: tgt 5.00e-03 max 2.19e-04 (4.4%) avg 1.59e-05 (0.3%)

-4.05306e-04 2.20802e-05 6.94795e-08 -2.09167e-05 -2.05989e-07 -8.91991e-08 1.80120e-06 -5.60854e-08 -1.16147e-07 6.44607e-09 7.12981e-10 -4.69249e-10 -1.59177e-09 -1.64515e-09 -1.52375e-10 -4.37849e-11 -4.96948e-10 -1.16083e-09 -4.25178e-10 -1.92443e-10

# precision: tgt 5.00e-03 max 2.18e-04 (4.4%) avg 3.49e-05 (0.7%)

1.73356e-04 -5.13752e-06 7.26657e-06 4.31960e-05 -2.55192e-08 -3.00289e-07 -7.90324e-08 -1.11622e-07 1.69613e-06 -1.62560e-08 5.72726e-10 2.41526e-09 5.25369e-10 1.41438e-10 -1.71626e-09 3.37803e-10 -7.82418e-10 3.92882e-10 2.83521e-10 -2.09177e-10

# precision: tgt 5.00e-03 max 2.34e-04 (4.7%) avg 2.45e-05 (0.5%)

5.00677e+00 -3.83581e-06 3.85832e-05 -1.04793e-05 7.71940e-07 2.35144e-07 2.25647e-07 8.87540e-07 -8.99719e-08 -1.45314e-06 -5.04951e-10 -1.08250e-09 -1.00632e-09 8.97930e-10 2.59519e-09 -9.52685e-10 1.38700e-09 -4.85963e-10 4.45431e-10 4.72781e-10

#its5k_z11_q1

0 11 0 20

# precision: tgt 5.00e-03 max 3.31e-04 (6.6%) avg 3.85e-05 (0.8%)

-1.67507e-04 1.22846e-05 -1.50850e-05 -1.85466e-05 -2.02626e-07 1.70321e-07 1.74267e-06 1.14661e-07 2.00951e-07 8.63576e-08 7.57222e-10 2.51958e-09 -6.93424e-10 -3.86649e-09 -8.92633e-10 1.42099e-11 2.76631e-10 -1.38218e-09 -7.11335e-10 -1.16377e-10

# precision: tgt 5.00e-03 max 1.91e-04 (3.8%) avg 2.47e-05 (0.5%)

1.51806e-04 -6.15938e-06 -9.30900e-07 3.45553e-05 7.37257e-08 1.68772e-08 2.01223e-07 1.10611e-08 1.70488e-06 2.29029e-08 -1.01623e-10 -6.17101e-10 -1.03844e-09 7.29626e-10 -1.74420e-09 -7.89155e-10 -4.04659e-12 -1.52134e-10 1.47864e-10 7.18594e-11

# precision: tgt 5.00e-03 max 3.57e-04 (7.1%) avg 2.50e-05 (0.5%)

5.00678e+00 -1.41437e-05 5.37446e-05 -1.52654e-05 9.57876e-07 -2.35501e-07 -7.86520e-09 6.87264e-07 -1.15156e-07 -1.56081e-06 -1.09325e-09 -8.27133e-10 6.55499e-10 2.78248e-09 2.01219e-09 -7.03982e-10 -3.46512e-10 1.01128e-09 -9.27207e-10 3.26109e-10

#its5k_z11_q2

0 11 1 20

# precision: tgt 5.00e-03 max 2.18e-04 (4.4%) avg 2.68e-05 (0.5%)

-5.48590e-04 2.31501e-06 2.00283e-06 -1.30262e-05 -3.20928e-08 1.30199e-07 1.75819e-06 4.99006e-08 -3.43326e-08 8.30359e-08 1.11957e-10 -1.59724e-10 8.59542e-10 -1.04481e-09 -1.62166e-09 1.15413e-10 -7.24222e-10 6.35293e-10 -6.70824e-10 -3.34661e-10

# precision: tgt 5.00e-03 max 2.56e-04 (5.1%) avg 2.75e-05 (0.6%)

2.00063e-04 1.36652e-07 -1.19662e-05 3.58346e-05 1.21001e-07 1.61294e-07 -9.57666e-08 2.67845e-07 1.87053e-06 -2.06381e-08 8.40604e-10 1.47790e-09 -1.74935e-09 -9.49726e-10 -3.03538e-10 2.94555e-10 -1.44896e-09 -2.37252e-09 1.39383e-10 1.86406e-10

# precision: tgt 5.00e-03 max 3.11e-04 (6.2%) avg 2.79e-05 (0.6%)

5.00666e+00 -2.17403e-05 5.66566e-05 -9.64094e-06 7.19846e-07 -5.02940e-08 2.45017e-07 4.91078e-07 -2.26381e-07 -1.62232e-06 -3.54383e-10 -1.34708e-09 2.18701e-10 9.99550e-10 -2.14061e-09 -1.07199e-09 2.10238e-09 1.21942e-09 2.95302e-10 -6.53313e-12

#its5k_z11_q3

0 11 2 20

# precision: tgt 5.00e-03 max 2.60e-04 (5.2%) avg 2.77e-05 (0.6%)

-3.49407e-04 1.21419e-05 -1.00385e-05 -8.30293e-06 1.40305e-07 4.47861e-09 1.79904e-06 -2.17163e-07 1.32480e-07 2.11890e-08 1.65660e-09 2.46018e-10 1.37154e-09 -3.36522e-10 1.19969e-09 -1.59707e-10 -1.04256e-09 1.10676e-09 -1.05507e-10 -1.39793e-10

# precision: tgt 5.00e-03 max 1.79e-04 (3.6%) avg 2.77e-05 (0.6%)

-1.88961e-04 -5.08410e-06 -9.57584e-06 4.68443e-05 -9.09700e-08 4.04139e-08 1.13248e-07 -1.81711e-07 1.79416e-06 -1.91167e-08 -9.03696e-10 1.72588e-09 8.76012e-10 -1.70747e-10 1.12203e-09 -5.58743e-11 -9.29085e-10 1.46227e-09 -3.09641e-10 -2.97576e-10

# precision: tgt 5.00e-03 max 3.97e-04 (7.9%) avg 2.36e-05 (0.5%)

5.00675e+00 -2.16874e-05 3.06800e-05 -2.03637e-05 7.51202e-07 -8.07830e-08 1.86876e-07 6.66404e-07 9.34717e-08 -1.43450e-06 3.94767e-10 -5.80924e-10 1.33650e-09 -1.18566e-10 1.29520e-09 4.83654e-10 -7.79148e-11 1.37080e-09 5.27832e-10 -5.89712e-10

#its5k_z11_q4

0 11 3 20

# precision: tgt 5.00e-03 max 1.95e-04 (3.9%) avg 1.91e-05 (0.4%)

-8.36533e-05 1.24606e-07 6.79468e-06 -1.62238e-05 8.51426e-08 -2.28446e-08 1.69314e-06 3.27905e-08 -2.44740e-07 3.91512e-08 -7.94008e-10 -9.14845e-10 -4.86459e-10 -4.20025e-10 6.63484e-10 2.93672e-10 -1.21514e-10 -2.05275e-09 7.77653e-10 1.33958e-10

# precision: tgt 5.00e-03 max 3.38e-04 (6.8%) avg 2.91e-05 (0.6%)

-1.43643e-04 8.40138e-06 1.05770e-06 4.62951e-05 -1.28407e-07 3.68728e-08 -3.22269e-08 9.07405e-08 1.77889e-06 -2.66543e-09 4.10483e-10 -8.68610e-10 4.67032e-10 -6.88291e-10 -1.30878e-09 -4.80446e-10 5.10023e-10 8.43958e-10 -1.71565e-10 -2.17383e-10

# precision: tgt 5.00e-03 max 3.76e-04 (7.5%) avg 4.30e-05 (0.9%)

5.00659e+00 5.87423e-06 4.18420e-05 -1.78619e-05 5.77019e-07 1.29289e-07 -5.56566e-09 9.19530e-07 8.76760e-08 -1.48487e-06 5.24280e-10 -1.21205e-09 1.61633e-09 -6.69320e-10 -1.11903e-09 -1.36798e-09 9.58533e-10 7.70277e-10 -1.18008e-10 -2.65248e-10

#its5k_z12_q1

0 12 0 20

# precision: tgt 5.00e-03 max 2.82e-04 (5.6%) avg 2.46e-05 (0.5%)

-2.73410e-04 8.24773e-06 -7.56241e-06 -1.43834e-05 -1.07371e-07 2.25768e-07 1.74192e-06 -3.40990e-08 8.41252e-08 3.87757e-08 5.06450e-10 1.19404e-09 -1.39194e-09 -3.23123e-09 -1.11126e-09 6.09718e-10 1.01057e-09 -4.33588e-10 -2.22438e-10 1.53515e-12

# precision: tgt 5.00e-03 max 2.10e-04 (4.2%) avg 2.24e-05 (0.4%)

8.74418e-05 7.48834e-07 -6.24831e-06 3.68489e-05 -7.10493e-09 -1.00186e-07 9.39543e-08 2.13127e-07 1.71851e-06 6.78210e-09 5.37355e-11 7.20840e-10 -3.51693e-10 1.04435e-09 -1.55038e-09 -2.87422e-10 -1.42085e-09 -1.17104e-09 7.30346e-10 -6.42771e-11

# precision: tgt 5.00e-03 max 2.63e-04 (5.3%) avg 2.64e-05 (0.5%)

5.00668e+00 -1.06403e-05 5.63992e-05 -1.29110e-05 8.83846e-07 -1.13893e-07 -1.21969e-07 6.63750e-07 -2.48985e-07 -1.52723e-06 -2.74934e-10 -1.90546e-09 7.77881e-10 2.20142e-09 1.83722e-09 4.10666e-10 -1.03753e-10 1.16305e-09 3.84595e-10 -4.86077e-10

#its5k_z12_q2

0 12 1 20

# precision: tgt 5.00e-03 max 2.82e-04 (5.6%) avg 3.07e-05 (0.6%)

-5.44563e-04 2.51823e-06 1.70635e-06 -1.22625e-05 -1.31979e-07 7.84398e-08 1.68815e-06 1.29712e-07 -1.15888e-07 5.89294e-08 -1.13713e-09 -1.52331e-09 7.92587e-10 -1.89275e-09 -1.22608e-09 5.88898e-10 -1.89848e-09 1.14917e-09 -6.18602e-11 -1.47164e-10

# precision: tgt 5.00e-03 max 1.60e-04 (3.2%) avg 1.98e-05 (0.4%)

1.34740e-04 -2.25707e-06 -1.05984e-05 3.83336e-05 3.87632e-08 2.79946e-08 3.32545e-09 2.15482e-07 1.85011e-06 -3.80019e-08 7.34072e-11 -1.01453e-09 -3.12322e-10 -2.12927e-09 6.79744e-10 4.97503e-11 -1.46086e-09 -2.09391e-09 4.72019e-10 1.37875e-10

# precision: tgt 5.00e-03 max 2.70e-04 (5.4%) avg 3.51e-05 (0.7%)

5.00668e+00 -2.49538e-05 5.59135e-05 -1.21678e-05 6.16548e-07 -1.64535e-07 2.97388e-07 4.91578e-07 -2.30235e-07 -1.55304e-06 -1.03165e-09 -2.55316e-09 1.44451e-09 1.04562e-09 -1.57234e-09 -6.74548e-10 2.07794e-09 1.09564e-09 5.17207e-10 -4.36388e-10

#its5k_z12_q3

0 12 2 20

# precision: tgt 5.00e-03 max 2.34e-04 (4.7%) avg 3.80e-05 (0.8%)

-2.50757e-04 1.10889e-05 -3.89656e-06 -1.11551e-05 7.14176e-08 1.26159e-08 1.73972e-06 -6.10094e-08 1.05049e-07 4.30622e-08 1.55217e-09 -1.14951e-09 1.78551e-09 8.54399e-10 7.14352e-10 5.84457e-10 2.11178e-12 9.88502e-10 -1.30796e-10 -1.29508e-10

# precision: tgt 5.00e-03 max 2.93e-04 (5.9%) avg 3.71e-05 (0.7%)

-1.47936e-04 -4.50426e-06 -1.35898e-05 4.41468e-05 -6.98659e-08 5.98170e-08 1.38016e-07 -3.51795e-07 1.74321e-06 8.85920e-09 -8.33995e-10 2.56088e-09 1.10751e-09 -7.71345e-10 1.14738e-09 -1.20190e-10 -2.20666e-09 1.62573e-09 3.79657e-10 -2.37076e-10

# precision: tgt 5.00e-03 max 3.06e-04 (6.1%) avg 2.59e-05 (0.5%)

5.00655e+00 -2.50511e-05 2.87962e-05 -1.21871e-05 7.38194e-07 -3.87601e-08 3.01367e-07 6.83181e-07 2.22979e-07 -1.51549e-06 3.39756e-10 -9.41898e-10 1.11706e-09 1.03242e-09 1.59378e-09 -7.16057e-10 -2.80177e-10 1.17668e-09 -8.17324e-10 -6.17928e-10

#its5k_z12_q4

0 12 3 20

# precision: tgt 5.00e-03 max 2.91e-04 (5.8%) avg 2.45e-05 (0.5%)

-1.47031e-04 -6.04962e-06 -2.06112e-06 -1.38733e-05 2.50152e-07 -3.67254e-08 1.72775e-06 -1.31865e-07 -1.02195e-07 1.98019e-08 -1.96990e-09 -6.39220e-10 -1.05186e-09 2.80509e-10 1.60142e-09 6.47647e-10 -6.73453e-10 -2.43830e-10 3.94946e-10 8.01429e-11

# precision: tgt 5.00e-03 max 4.42e-04 (8.8%) avg 4.27e-05 (0.9%)

-6.98832e-05 7.30995e-06 -1.51024e-06 4.36409e-05 -8.77830e-08 -1.13480e-07 -8.78717e-08 -1.26936e-07 1.72462e-06 2.63234e-08 -1.23848e-10 -7.85450e-10 7.28688e-10 -2.89784e-09 -1.34954e-09 -6.50997e-11 -1.98351e-09 7.27380e-10 2.85492e-10 -2.99880e-10

# precision: tgt 5.00e-03 max 3.95e-04 (7.9%) avg 3.30e-05 (0.7%)

5.00644e+00 1.02445e-05 3.90637e-05 -1.29254e-05 5.44190e-07 1.00217e-08 -1.89400e-07 8.42466e-07 1.69681e-07 -1.50256e-06 9.19961e-10 -1.00985e-09 1.33146e-09 -2.50445e-09 -1.60801e-09 6.10933e-10 -1.51879e-10 7.02361e-10 -6.99959e-10 -6.64397e-10

#its5k_z13_q1

0 13 0 20

# precision: tgt 5.00e-03 max 1.82e-04 (3.6%) avg 1.69e-05 (0.3%)

-9.79685e-04 1.66340e-05 -2.41361e-06 1.49344e-06 -1.13510e-07 2.77352e-07 1.57098e-06 -9.42912e-08 1.14166e-08 -7.32264e-08 6.01826e-10 4.63678e-10 -1.26340e-09 -2.74428e-09 -1.48034e-09 1.43864e-09 1.19123e-09 -1.71903e-10 1.05260e-10 2.30135e-10

# precision: tgt 5.00e-03 max 2.56e-04 (5.1%) avg 2.65e-05 (0.5%)

-3.66870e-04 5.59328e-06 1.13015e-07 4.73651e-05 -3.55889e-09 -1.86276e-07 1.12452e-08 2.79559e-07 1.57953e-06 -6.98611e-08 -6.18893e-11 1.01351e-09 -2.77621e-10 1.81697e-09 -1.38637e-09 8.37217e-11 -2.03749e-09 -1.35982e-09 1.45914e-09 9.92028e-11

# precision: tgt 5.00e-03 max 2.25e-04 (4.5%) avg 2.72e-05 (0.5%)

5.00694e+00 3.03138e-06 6.84696e-05 -2.68821e-05 7.57449e-07 1.19482e-07 -3.76866e-07 6.00300e-07 -5.10516e-07 -1.31368e-06 2.11412e-10 -2.35626e-09 1.57977e-09 1.70791e-09 1.86994e-10 1.65157e-09 1.95436e-11 1.76845e-09 1.71917e-09 -1.48139e-09

#its5k_z13_q2

0 13 1 20

# precision: tgt 5.00e-03 max 3.07e-04 (6.1%) avg 4.77e-05 (1.0%)

-4.69687e-04 5.28710e-06 9.28818e-07 -1.38706e-05 -2.71450e-07 4.47422e-08 1.55772e-06 2.43213e-07 -1.70509e-07 6.73192e-08 -1.91787e-09 -1.61836e-09 1.33674e-09 -1.97337e-09 -8.64721e-10 1.36457e-09 -2.71880e-09 8.99860e-10 3.26178e-10 -1.49352e-10

# precision: tgt 5.00e-03 max 1.95e-04 (3.9%) avg 2.67e-05 (0.5%)

-2.16643e-04 -4.65178e-07 -1.02830e-06 4.61289e-05 9.74520e-08 -5.16479e-09 3.18997e-08 1.55407e-07 1.71544e-06 -8.72398e-08 2.95378e-10 -2.41613e-09 -1.93421e-10 -3.97673e-09 1.33693e-09 -1.53838e-10 -1.87027e-09 -1.57448e-09 1.02768e-09 2.03496e-10

# precision: tgt 5.00e-03 max 2.28e-04 (4.6%) avg 3.21e-05 (0.6%)

5.00714e+00 -3.20153e-05 6.69757e-05 -2.97957e-05 6.29225e-07 -3.02083e-07 4.82654e-07 4.04361e-07 -4.09971e-07 -1.33344e-06 -5.94815e-10 -2.74055e-09 1.91135e-09 5.26024e-10 2.03764e-11 -1.64021e-09 1.79213e-09 2.12332e-09 1.22631e-09 -1.31920e-09

#its5k_z13_q3

0 13 2 20