Task
Supervised Classification on tr45.wc

Supervised Classification on tr45.wc

Task 3518 Supervised Classification tr45.wc 283 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9082, kappa: 0.8938, kb_relative_information_score: 605.5304, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.909, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.661, kappa: 0.6087, kb_relative_information_score: 441.8291, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7495, predictive_accuracy: 0.658, prior_entropy: 3.0415, recall: 0.658, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9057, kappa: 0.8921, kb_relative_information_score: 609.6716, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9075, predictive_accuracy: 0.9072, prior_entropy: 3.0415, recall: 0.9072, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.6654, kappa: 0.5949, kb_relative_information_score: 422.6102, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7685, predictive_accuracy: 0.642, prior_entropy: 3.0415, recall: 0.642, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.4002, kappa: 0.3115, kb_relative_information_score: 246.0238, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4765, predictive_accuracy: 0.4203, prior_entropy: 3.0415, recall: 0.4203, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3405, root_relative_squared_error: 1.1613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8546, kappa: 0.833, kb_relative_information_score: 549.676, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8565, prior_entropy: 3.0415, recall: 0.8565, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 188.8335, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3452, root_relative_squared_error: 1.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.4691, kappa: 0.3921, kb_relative_information_score: 294.9722, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7178, predictive_accuracy: 0.458, prior_entropy: 3.0415, recall: 0.458, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3293, root_relative_squared_error: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.5659, kappa: 0.5451, kb_relative_information_score: 365.8351, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5554, predictive_accuracy: 0.6101, prior_entropy: 3.0415, recall: 0.6101, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.219, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8826, kappa: 0.8634, kb_relative_information_score: 576.5209, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8877, predictive_accuracy: 0.8826, prior_entropy: 3.0415, recall: 0.8826, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8588, kappa: 0.8319, kb_relative_information_score: 548.5038, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8551, prior_entropy: 3.0415, recall: 0.8551, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9211, kappa: 0.9106, kb_relative_information_score: 614.8974, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9286, predictive_accuracy: 0.9232, prior_entropy: 3.0415, recall: 0.9232, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.5789, kappa: 0.5046, kb_relative_information_score: 113.466, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7643, predictive_accuracy: 0.5986, prior_entropy: 3.0415, recall: 0.5986, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.2664, kappa: 0.2475, kb_relative_information_score: 184.6503, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.22, predictive_accuracy: 0.3971, prior_entropy: 3.0415, recall: 0.3971, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7379, kappa: 0.7007, kb_relative_information_score: 505.5678, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7776, predictive_accuracy: 0.7406, prior_entropy: 3.0415, recall: 0.7406, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9088, kappa: 0.889, kb_relative_information_score: 611.6599, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9159, predictive_accuracy: 0.9043, prior_entropy: 3.0415, recall: 0.9043, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8595, kappa: 0.8367, kb_relative_information_score: 564.7286, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8594, prior_entropy: 3.0415, recall: 0.8594, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.6654, kappa: 0.5949, kb_relative_information_score: 422.6102, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7685, predictive_accuracy: 0.642, prior_entropy: 3.0415, recall: 0.642, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.5195, kappa: 0.4423, kb_relative_information_score: 316.7195, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5188, predictive_accuracy: 0.5217, prior_entropy: 3.0415, recall: 0.5217, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3093, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.4205, kappa: 0.3395, kb_relative_information_score: 251.5011, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5252, predictive_accuracy: 0.4507, prior_entropy: 3.0415, recall: 0.4507, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9086, kappa: 0.8937, kb_relative_information_score: 602.7622, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9111, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0581, kb_relative_information_score: 25.3001, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0344, predictive_accuracy: 0.1855, prior_entropy: 3.0415, recall: 0.1855, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7791, kappa: 0.758, kb_relative_information_score: 327.0896, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8185, predictive_accuracy: 0.7971, prior_entropy: 3.0415, recall: 0.7971, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8394, kappa: 0.8249, kb_relative_information_score: 361.4941, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8604, predictive_accuracy: 0.8522, prior_entropy: 3.0415, recall: 0.8522, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9061, kappa: 0.8906, kb_relative_information_score: 607.4623, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9088, predictive_accuracy: 0.9058, prior_entropy: 3.0415, recall: 0.9058, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.6756, kappa: 0.6412, kb_relative_information_score: 363.97, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7137, predictive_accuracy: 0.6986, prior_entropy: 3.0415, recall: 0.6986, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9062, kappa: 0.8921, kb_relative_information_score: 606.2852, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9079, predictive_accuracy: 0.9072, prior_entropy: 3.0415, recall: 0.9072, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.3804, kappa: 0.333, kb_relative_information_score: 85.7355, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.5512, predictive_accuracy: 0.4652, prior_entropy: 3.0415, recall: 0.4652, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7705, kappa: 0.7387, kb_relative_information_score: 354.4336, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7896, predictive_accuracy: 0.7783, prior_entropy: 3.0415, recall: 0.7783, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.1383, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7143, kappa: 0.6724, kb_relative_information_score: 452.0563, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7989, predictive_accuracy: 0.7304, prior_entropy: 3.0415, recall: 0.7304, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.4368, kappa: 0.3486, kb_relative_information_score: 260.1253, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4346, predictive_accuracy: 0.4406, prior_entropy: 3.0415, recall: 0.4406, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.1408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.803, kappa: 0.7758, kb_relative_information_score: 144.8562, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8071, predictive_accuracy: 0.8087, prior_entropy: 3.0415, recall: 0.8087, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.803, kappa: 0.7758, kb_relative_information_score: 144.8562, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8071, predictive_accuracy: 0.8087, prior_entropy: 3.0415, recall: 0.8087, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7729, kappa: 0.7472, kb_relative_information_score: 533.8174, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7934, predictive_accuracy: 0.7797, prior_entropy: 3.0415, recall: 0.7797, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.6904, kappa: 0.6403, kb_relative_information_score: 440.564, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7074, predictive_accuracy: 0.6971, prior_entropy: 3.0415, recall: 0.6971, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.5409, kappa: 0.4437, kb_relative_information_score: 26.0307, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7656, predictive_accuracy: 0.5522, prior_entropy: 3.0415, recall: 0.5522, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2997, root_relative_squared_error: 1.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.4002, kappa: 0.3115, kb_relative_information_score: 244.3521, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4765, predictive_accuracy: 0.4203, prior_entropy: 3.0415, recall: 0.4203, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.1522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.661, kappa: 0.6087, kb_relative_information_score: 441.8291, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7495, predictive_accuracy: 0.658, prior_entropy: 3.0415, recall: 0.658, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.0639, kappa: 0.0034, kb_relative_information_score: 66.4909, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2664, predictive_accuracy: 0.1884, prior_entropy: 3.0415, recall: 0.1884, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.4029, root_relative_squared_error: 1.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8438, kappa: 0.8198, kb_relative_information_score: 561.8868, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8449, prior_entropy: 3.0415, recall: 0.8449, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9143, kappa: 0.8998, kb_relative_information_score: 616.2036, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9198, predictive_accuracy: 0.9145, prior_entropy: 3.0415, recall: 0.9145, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8284, kappa: 0.8146, kb_relative_information_score: 381.8927, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8517, predictive_accuracy: 0.8435, prior_entropy: 3.0415, recall: 0.8435, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8906, kappa: 0.8753, kb_relative_information_score: 594.6756, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8916, predictive_accuracy: 0.8928, prior_entropy: 3.0415, recall: 0.8928, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.909, kappa: 0.8938, kb_relative_information_score: 605.8054, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9105, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6626, kappa: 0.6117, kb_relative_information_score: 364.4813, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7434, predictive_accuracy: 0.6609, prior_entropy: 3.0415, recall: 0.6609, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.4002, kappa: 0.3115, kb_relative_information_score: 244.3521, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4765, predictive_accuracy: 0.4203, prior_entropy: 3.0415, recall: 0.4203, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.1522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8764, kappa: 0.8582, kb_relative_information_score: 577.3322, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 3.0415, recall: 0.8783, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.619, kappa: 0.5877, kb_relative_information_score: 108.5315, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.6964, predictive_accuracy: 0.6551, prior_entropy: 3.0415, recall: 0.6551, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.5075, kappa: 0.44, kb_relative_information_score: 358.9079, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7131, predictive_accuracy: 0.5043, prior_entropy: 3.0415, recall: 0.5043, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.4783, kappa: 0.3705, kb_relative_information_score: 26.033, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.772, predictive_accuracy: 0.4986, prior_entropy: 3.0415, recall: 0.4986, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2997, root_relative_squared_error: 1.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7889, kappa: 0.7534, kb_relative_information_score: 522.9444, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.823, predictive_accuracy: 0.7928, prior_entropy: 3.0415, recall: 0.7928, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.342, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8549, kappa: 0.8363, kb_relative_information_score: 557.9975, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8574, predictive_accuracy: 0.8594, prior_entropy: 3.0415, recall: 0.8594, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.4796, kappa: 0.4508, kb_relative_information_score: 291.5193, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4486, predictive_accuracy: 0.5362, prior_entropy: 3.0415, recall: 0.5362, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8291, kappa: 0.8081, kb_relative_information_score: 538.6517, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8281, predictive_accuracy: 0.8348, prior_entropy: 3.0415, recall: 0.8348, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9547, kappa: 0.9493, kb_relative_information_score: 640.1973, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9559, predictive_accuracy: 0.9565, prior_entropy: 3.0415, recall: 0.9565, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7719, kappa: 0.7489, kb_relative_information_score: 488.5539, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7738, predictive_accuracy: 0.7841, prior_entropy: 3.0415, recall: 0.7841, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 187.6875, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.879, kappa: 0.8601, kb_relative_information_score: 575.1327, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8822, predictive_accuracy: 0.8797, prior_entropy: 3.0415, recall: 0.8797, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.6909, kappa: 0.6641, kb_relative_information_score: 445.522, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.6861, predictive_accuracy: 0.7116, prior_entropy: 3.0415, recall: 0.7116, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8454, kappa: 0.8187, kb_relative_information_score: 542.5383, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8575, predictive_accuracy: 0.8435, prior_entropy: 3.0415, recall: 0.8435, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2088, kappa: 0.1538, kb_relative_information_score: 107.8217, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.1629, predictive_accuracy: 0.3275, prior_entropy: 3.0415, recall: 0.3275, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9297, kappa: 0.9189, kb_relative_information_score: 631.0969, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9301, predictive_accuracy: 0.9304, prior_entropy: 3.0415, recall: 0.9304, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3716, scimark_benchmark: 1320.9387, usercpu_time_millis: 1437780, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 1435120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9245, kappa: 0.9123, kb_relative_information_score: 619.9436, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9266, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4132, scimark_benchmark: 1311.7006, usercpu_time_millis: 8610, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 8210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9245, kappa: 0.9123, kb_relative_information_score: 619.9436, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9266, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4132, scimark_benchmark: 1322.5413, usercpu_time_millis: 8800, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 8400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9245, kappa: 0.9123, kb_relative_information_score: 619.9436, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9266, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4132, scimark_benchmark: 946.9304, usercpu_time_millis: 12170, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 11690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.2909, kappa: 0.2452, kb_relative_information_score: 198.9857, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2571, predictive_accuracy: 0.3826, prior_entropy: 3.0415, recall: 0.3826, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3514, root_relative_squared_error: 1.1985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8168, kappa: 0.7872, kb_relative_information_score: 519.0892, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8208, predictive_accuracy: 0.8174, prior_entropy: 3.0415, recall: 0.8174, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.6073, scimark_benchmark: 936.3213, usercpu_time_millis: 4741451047780, usercpu_time_millis_training: 4741451047780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9245, kappa: 0.9123, kb_relative_information_score: 619.9436, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9266, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4132, scimark_benchmark: 819.5729, usercpu_time_millis: 12410, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 11730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8588, kappa: 0.8319, kb_relative_information_score: 548.5038, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8551, prior_entropy: 3.0415, recall: 0.8551, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4899, scimark_benchmark: 851.2074, usercpu_time_millis: 135010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 135000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9371, kappa: 0.9274, kb_relative_information_score: 598.2944, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 3.0415, recall: 0.9377, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3787, scimark_benchmark: 941.9549, usercpu_time_millis: 391490, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 391380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0873, kb_relative_information_score: 81.1714, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3368, scimark_benchmark: 938.3115, usercpu_time_millis: 620, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 935.6052, usercpu_time_millis: 3550, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 940.0055, usercpu_time_millis: 3590, usercpu_time_millis_training: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9303, kappa: 0.9206, kb_relative_information_score: 617.5663, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9333, predictive_accuracy: 0.9319, prior_entropy: 3.0415, recall: 0.9319, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3517, scimark_benchmark: 945.5968, usercpu_time_millis: 2184680, usercpu_time_millis_testing: 1046390, usercpu_time_millis_training: 1138290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9237, kappa: 0.9138, kb_relative_information_score: 612.0244, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9252, predictive_accuracy: 0.9261, prior_entropy: 3.0415, recall: 0.9261, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3713, scimark_benchmark: 936.7184, usercpu_time_millis: 1261700, usercpu_time_millis_testing: 581300, usercpu_time_millis_training: 680400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8588, kappa: 0.8319, kb_relative_information_score: 548.5038, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8551, prior_entropy: 3.0415, recall: 0.8551, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4899, scimark_benchmark: 944.0133, usercpu_time_millis: 210860, usercpu_time_millis_training: 210860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 936.1714, usercpu_time_millis: 3310, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 935.6052, usercpu_time_millis: 3550, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0013, kappa: 0, kb_relative_information_score: -19.1748, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0007, predictive_accuracy: 0.0261, prior_entropy: 3.0415, recall: 0.0261, relative_absolute_error: 1.1321, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.5053, usercpu_time_millis: 420.771, usercpu_time_millis_testing: 245.668, usercpu_time_millis_training: 175.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7621, kappa: 0.7576, kb_relative_information_score: 399.0162, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7604, predictive_accuracy: 0.7942, prior_entropy: 3.0415, recall: 0.7942, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6541, usercpu_time_millis: 14.019, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 12.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0873, kb_relative_information_score: 81.1714, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3368, usercpu_time_millis: 505305.088, usercpu_time_millis_testing: 245902.578, usercpu_time_millis_training: 259402.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9184, kappa: 0.9041, kb_relative_information_score: 621.1796, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9253, predictive_accuracy: 0.9174, prior_entropy: 3.0415, recall: 0.9174, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4384, usercpu_time_millis: 515974.109, usercpu_time_millis_testing: 255192.581, usercpu_time_millis_training: 260781.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9164, kappa: 0.9133, kb_relative_information_score: 617.0343, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9125, predictive_accuracy: 0.9261, prior_entropy: 3.0415, recall: 0.9261, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.4147, usercpu_time_millis: 276818.51, usercpu_time_millis_testing: 41.589, usercpu_time_millis_training: 276776.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8878, kappa: 0.881, kb_relative_information_score: 596.143, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8863, predictive_accuracy: 0.8986, prior_entropy: 3.0415, recall: 0.8986, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4858, usercpu_time_millis: 195.633, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 194.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8971, kappa: 0.8847, kb_relative_information_score: 603.3326, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8975, predictive_accuracy: 0.9014, prior_entropy: 3.0415, recall: 0.9014, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4788, usercpu_time_millis: 162.317, usercpu_time_millis_testing: 2.707, usercpu_time_millis_training: 159.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8532, kappa: 0.8327, kb_relative_information_score: 564.2418, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8591, predictive_accuracy: 0.8565, prior_entropy: 3.0415, recall: 0.8565, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5778, usercpu_time_millis: 137.528, usercpu_time_millis_testing: 46.461, usercpu_time_millis_training: 91.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.6277, kappa: 0.5648, kb_relative_information_score: 385.1972, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7657, predictive_accuracy: 0.6464, prior_entropy: 3.0415, recall: 0.6464, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.907, usercpu_time_millis: 435.598, usercpu_time_millis_testing: 62.406, usercpu_time_millis_training: 373.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7907, kappa: 0.7452, kb_relative_information_score: 506.3368, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8354, predictive_accuracy: 0.7812, prior_entropy: 3.0415, recall: 0.7812, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.7135, usercpu_time_millis: 4527.294, usercpu_time_millis_testing: 5.909, usercpu_time_millis_training: 4521.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.6942, kappa: 0.6592, kb_relative_information_score: 448.0814, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7412, predictive_accuracy: 0.7087, prior_entropy: 3.0415, recall: 0.7087, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8232, usercpu_time_millis: 3761.627, usercpu_time_millis_testing: 3.894, usercpu_time_millis_training: 3757.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9039, kappa: 0.8932, kb_relative_information_score: 609.2923, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9072, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.4609, usercpu_time_millis: 1692.495, usercpu_time_millis_testing: 2.669, usercpu_time_millis_training: 1689.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.1196, kappa: 0.0007, kb_relative_information_score: 78.2664, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0887, predictive_accuracy: 0.2232, prior_entropy: 3.0415, recall: 0.2232, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.3443, usercpu_time_millis: 42.391, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 40.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9322, kappa: 0.924, kb_relative_information_score: 632.0347, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9327, predictive_accuracy: 0.9348, prior_entropy: 3.0415, recall: 0.9348, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3895, usercpu_time_millis: 18.425, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 17.358,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs