OpenML
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: 0.7652, 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: 0.8102, 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: 0.9259, 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: 0.9275, 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: 0.4854, 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: 0.9405, 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: 0.8112, 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: 0.6816, 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: 0.9886, 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: 0.9525, 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: 0.676, 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: 0.6534, 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: 0.4854, 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: 0.9469, 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: 0.7012, 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: 0.6338, 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: 0.6816, 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: 0.6529, 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: 0.927, 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: 0.9559, 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: 0.9496, 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: 0.8112, 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: 0.9966, f_measure: 0.9198, kappa: 0.9168, kb_relative_information_score: 515.4068, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9163, predictive_accuracy: 0.929, prior_entropy: 3.0415, recall: 0.929, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4958, scimark_benchmark: 1739.8038, usercpu_time_millis: 139010, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 137770,
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, scimark_benchmark: 901.458, usercpu_time_millis: 25930, usercpu_time_millis_testing: 20790, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.3159, kappa: 0.2443, kb_relative_information_score: 185.2607, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4695, predictive_accuracy: 0.3565, prior_entropy: 3.0415, recall: 0.3565, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.0473, scimark_benchmark: 935.188, usercpu_time_millis: 10590, usercpu_time_millis_testing: 7880, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9056, kappa: 0.8905, kb_relative_information_score: 606.896, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9092, predictive_accuracy: 0.9058, prior_entropy: 3.0415, recall: 0.9058, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.458, scimark_benchmark: 928.0494, usercpu_time_millis: 29510, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 28350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.7992, kappa: 0.7709, kb_relative_information_score: 144.6588, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8018, predictive_accuracy: 0.8043, prior_entropy: 3.0415, recall: 0.8043, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9423, scimark_benchmark: 1369.2125, usercpu_time_millis: 16750, usercpu_time_millis_testing: 11650, usercpu_time_millis_training: 5100,
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: 0.9537, 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: 0.5425, f_measure: 0.1831, kappa: 0.0915, kb_relative_information_score: 130.3649, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.267, predictive_accuracy: 0.2899, prior_entropy: 3.0415, recall: 0.2899, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.2854, usercpu_time_millis: 513484.352, usercpu_time_millis_testing: 247422.189, usercpu_time_millis_training: 266062.163,
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: 0.9552, 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: 0.8768, 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: 0.9315, f_measure: 0.8862, kappa: 0.8674, kb_relative_information_score: 595.3551, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8922, predictive_accuracy: 0.887, prior_entropy: 3.0415, recall: 0.887, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.5128, usercpu_time_millis: 25.599, usercpu_time_millis_testing: 3.602, usercpu_time_millis_training: 21.997,
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: 0.9012, f_measure: 0.828, kappa: 0.8032, kb_relative_information_score: 561.7439, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8304, prior_entropy: 3.0415, recall: 0.8304, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6281, usercpu_time_millis: 459.798, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 458.464,
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: 0.5, 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: 51.537, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 49.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9134, kappa: 0.9098, kb_relative_information_score: 614.9142, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9094, predictive_accuracy: 0.9232, prior_entropy: 3.0415, recall: 0.9232, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.4227, usercpu_time_millis: 114.843, usercpu_time_millis_testing: 4.25, usercpu_time_millis_training: 110.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.7833, kappa: 0.764, kb_relative_information_score: 509.4332, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7812, predictive_accuracy: 0.7986, prior_entropy: 3.0415, recall: 0.7986, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6846, usercpu_time_millis: 4521.7, usercpu_time_millis_testing: 394.873, usercpu_time_millis_training: 4126.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9207, kappa: 0.9184, kb_relative_information_score: 620.8636, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9151, predictive_accuracy: 0.9304, prior_entropy: 3.0415, recall: 0.9304, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.118, root_relative_squared_error: 0.4023, usercpu_time_millis: 445.832, usercpu_time_millis_testing: 58.131, usercpu_time_millis_training: 387.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8906, kappa: 0.8753, kb_relative_information_score: 598.3857, mean_absolute_error: 0.0214, 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: 0.1247, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4995, usercpu_time_millis: 1514.219, usercpu_time_millis_testing: 213.681, usercpu_time_millis_training: 1300.538,
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, usercpu_time_millis: 1498.921, usercpu_time_millis_testing: 237.555, usercpu_time_millis_training: 1261.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7621, kappa: 0.7576, kb_relative_information_score: 498.3281, mean_absolute_error: 0.0412, 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: 0.2392, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6919, usercpu_time_millis: 24.632, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 21.573,
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: 516.967, usercpu_time_millis_testing: 302.211, usercpu_time_millis_training: 214.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.6863, kappa: 0.6303, kb_relative_information_score: 425.7003, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7877, predictive_accuracy: 0.6957, prior_entropy: 3.0415, recall: 0.6957, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.8415, usercpu_time_millis: 331.673, usercpu_time_millis_testing: 71.742, usercpu_time_millis_training: 259.931,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9401, kappa: 0.9324, kb_relative_information_score: 636.1586, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.943, predictive_accuracy: 0.942, prior_entropy: 3.0415, recall: 0.942, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.3672, usercpu_time_millis: 16.499, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 15.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.837, kappa: 0.8075, kb_relative_information_score: 559.3126, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8423, predictive_accuracy: 0.8348, prior_entropy: 3.0415, recall: 0.8348, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.62, usercpu_time_millis: 1884.988, usercpu_time_millis_testing: 244.983, usercpu_time_millis_training: 1640.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9062, kappa: 0.8921, kb_relative_information_score: 609.7061, mean_absolute_error: 0.0186, 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: 0.1078, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.4645, usercpu_time_millis: 1708.408, usercpu_time_millis_testing: 257.334, usercpu_time_millis_training: 1451.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.45, kappa: 0.3347, kb_relative_information_score: 262.1067, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.6598, predictive_accuracy: 0.4652, prior_entropy: 3.0415, recall: 0.4652, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.327, root_relative_squared_error: 1.1154, usercpu_time_millis: 277.78, usercpu_time_millis_testing: 275.206, usercpu_time_millis_training: 2.574,
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: 0.9398, 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: 0.5004, 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: 0.946, 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: 0.8336, 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 - 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: 0.6201, 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: 0.9602, 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: 906.0979,
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: 0.9198, 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: 944.0133, usercpu_time_millis: 210860, usercpu_time_millis_training: 210860,
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: 0.4854, 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: 936.1714, usercpu_time_millis: 3310, usercpu_time_millis_training: 3310,
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: 0.6816, 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: 3520, usercpu_time_millis_training: 3520,
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: 0.5, 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: 0.9941, 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: 0.9853, f_measure: 0.8934, kappa: 0.8815, kb_relative_information_score: 547.8562, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8944, predictive_accuracy: 0.8986, prior_entropy: 3.0415, recall: 0.8986, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4777, scimark_benchmark: 907.1091, usercpu_time_millis: 6023520, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 6023160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.339, kappa: 0.3175, kb_relative_information_score: 167.4402, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.3037, predictive_accuracy: 0.4449, prior_entropy: 3.0415, recall: 0.4449, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.8651, scimark_benchmark: 933.0918, usercpu_time_millis: 2840, usercpu_time_millis_training: 2840,
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: 923.509, usercpu_time_millis: 11860, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 11380,
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: 906.0884, usercpu_time_millis: 192940, usercpu_time_millis_training: 192940,
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: 0.9602, 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: 1347.1763, usercpu_time_millis: 8750, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 8350,
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: 1346.0226, usercpu_time_millis: 129970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 129960,
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: 1320.9387, usercpu_time_millis: 9700, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 9310,
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: 1345.7204, usercpu_time_millis: 8570, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 8170,
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: 1320.9026, usercpu_time_millis: 125480, usercpu_time_millis_training: 125480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.6134, kappa: 0.5552, kb_relative_information_score: 381.7447, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.612, predictive_accuracy: 0.6188, prior_entropy: 3.0415, recall: 0.6188, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9069, scimark_benchmark: 1320.9026, usercpu_time_millis: 15662180, usercpu_time_millis_testing: 211490, usercpu_time_millis_training: 15450690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9294, kappa: 0.9288, kb_relative_information_score: 542.7745, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9222, predictive_accuracy: 0.9391, prior_entropy: 3.0415, recall: 0.9391, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4495, scimark_benchmark: 894.7222, usercpu_time_millis: 1138610, usercpu_time_millis_testing: 32280, usercpu_time_millis_training: 1106330,
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: 950.6776, usercpu_time_millis: 8120, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 7670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9264, kappa: 0.9254, kb_relative_information_score: 542.2048, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9196, predictive_accuracy: 0.9362, prior_entropy: 3.0415, recall: 0.9362, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4509, scimark_benchmark: 1318.8785, usercpu_time_millis: 581590, usercpu_time_millis_testing: 14590, usercpu_time_millis_training: 567000,
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, scimark_benchmark: 1323.7742, usercpu_time_millis: 262750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 262740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9477, kappa: 0.9409, kb_relative_information_score: 642.7911, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9486, predictive_accuracy: 0.9493, prior_entropy: 3.0415, recall: 0.9493, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3435, scimark_benchmark: 1371.9645, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.93, kappa: 0.9271, kb_relative_information_score: 541.3455, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9417, predictive_accuracy: 0.9377, prior_entropy: 3.0415, recall: 0.9377, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.4547, scimark_benchmark: 1352.2099, usercpu_time_millis: 274540, usercpu_time_millis_testing: 6860, usercpu_time_millis_training: 267680,
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: 1151.3336, usercpu_time_millis: 8560, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 8200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.915, kappa: 0.9002, kb_relative_information_score: 618.1875, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9176, predictive_accuracy: 0.9145, prior_entropy: 3.0415, recall: 0.9145, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4343, scimark_benchmark: 1339.8573, usercpu_time_millis: 8668110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8668100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.904, kappa: 0.8998, kb_relative_information_score: 529.158, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.898, predictive_accuracy: 0.9145, prior_entropy: 3.0415, recall: 0.9145, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4804, scimark_benchmark: 1308.3432, usercpu_time_millis: 56350, usercpu_time_millis_testing: 1750, usercpu_time_millis_training: 54600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 160.2159, mean_absolute_error: 0.137, 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: 0.7965, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8928, scimark_benchmark: 1313.0885, usercpu_time_millis: 1983480, usercpu_time_millis_testing: 1983480,
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, scimark_benchmark: 1346.3935, usercpu_time_millis: 4236070, usercpu_time_millis_testing: 4236070,

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