OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 29759.2017, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 29759.2017, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 29759.2017, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.382, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.382, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9023, kappa: 0.7637, kb_relative_information_score: 25386.8319, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9045, predictive_accuracy: 0.9012, prior_entropy: 0.863, recall: 0.9012, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6761, scimark_benchmark: 1230.3004, usercpu_time_millis: 4260, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 3640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852, scimark_benchmark: 1230.3004, usercpu_time_millis: 2120, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852, scimark_benchmark: 1230.3004, usercpu_time_millis: 2250, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8548, kappa: 0.6509, kb_relative_information_score: 15457.8341, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8525, prior_entropy: 0.863, recall: 0.8525, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7574, scimark_benchmark: 479.2609, usercpu_time_millis: 4350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9199, kappa: 0.8026, kb_relative_information_score: 25752.8762, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6057, scimark_benchmark: 473.1656, usercpu_time_millis: 7950, usercpu_time_millis_testing: 2430, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 29759.2017, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 473.1656, usercpu_time_millis: 51080, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 28440.7723, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, scimark_benchmark: 1254.1389, usercpu_time_millis: 17990, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 17810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9543, kappa: 0.888, kb_relative_information_score: 30278.4325, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, scimark_benchmark: 473.1656, usercpu_time_millis: 1283560, usercpu_time_millis_testing: 1283530, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9018, kappa: 0.7625, kb_relative_information_score: 25319.3756, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9041, predictive_accuracy: 0.9007, prior_entropy: 0.863, recall: 0.9007, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6786, scimark_benchmark: 1224.9812, usercpu_time_millis: 3810, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9515, kappa: 0.8812, kb_relative_information_score: 29223.3027, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, scimark_benchmark: 1209.678, usercpu_time_millis: 14500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 14460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9543, kappa: 0.888, kb_relative_information_score: 30278.4325, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, scimark_benchmark: 1233.6743, usercpu_time_millis: 358120, usercpu_time_millis_testing: 358110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 30481.1745, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3822, scimark_benchmark: 1242.2361, usercpu_time_millis: 1855930, usercpu_time_millis_testing: 216990, usercpu_time_millis_training: 1638940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9534, kappa: 0.8858, kb_relative_information_score: 28949.3695, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4363, scimark_benchmark: 1139.6139, usercpu_time_millis: 3280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.9248, kb_relative_information_score: 29763.5628, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3425, scimark_benchmark: 1200.5587, usercpu_time_millis: 22490, usercpu_time_millis_testing: 1820, usercpu_time_millis_training: 20670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9559, kappa: 0.8918, kb_relative_information_score: 28955.5207, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4407, scimark_benchmark: 1260.5179, usercpu_time_millis: 123360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 123310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852, scimark_benchmark: 1129.8778, usercpu_time_millis: 2770, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9412, kappa: 0.858, kb_relative_information_score: 29004.2421, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5406, scimark_benchmark: 1064.94, usercpu_time_millis: 21280, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 21140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9489, kappa: 0.8747, kb_relative_information_score: 29793.3661, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5, scimark_benchmark: 1262.5642, usercpu_time_millis: 1173520, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1173380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 29198.235, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4174, scimark_benchmark: 1410.541, usercpu_time_millis: 424000, usercpu_time_millis_testing: 424000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9522, kappa: 0.8833, kb_relative_information_score: 28790.02, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4147, scimark_benchmark: 1358.4944, usercpu_time_millis: 497140, usercpu_time_millis_testing: 497120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9433, kappa: 0.8607, kb_relative_information_score: 28570.873, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4967, scimark_benchmark: 1312.5445, usercpu_time_millis: 83950, usercpu_time_millis_testing: 81930, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9062, kappa: 0.7722, kb_relative_information_score: 25245.3238, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9076, predictive_accuracy: 0.9054, prior_entropy: 0.863, recall: 0.9054, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6217, scimark_benchmark: 606.3975, usercpu_time_millis: 8950, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 8730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.951, kappa: 0.8796, kb_relative_information_score: 28628.5265, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1101.0604, usercpu_time_millis: 15790, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 13890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.923, kappa: 0.8107, kb_relative_information_score: 25878.9644, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.574, scimark_benchmark: 1047.2889, usercpu_time_millis: 5040, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9446, kappa: 0.8638, kb_relative_information_score: 27730.0655, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635, scimark_benchmark: 1259.4482, usercpu_time_millis: 2960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9157, kappa: 0.7945, kb_relative_information_score: 26708.6084, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9163, predictive_accuracy: 0.9153, prior_entropy: 0.863, recall: 0.9153, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.291, root_relative_squared_error: 0.6443, scimark_benchmark: 685.5186, usercpu_time_millis: 13450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 13390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9407, kappa: 0.8543, kb_relative_information_score: 27804.2943, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4659, scimark_benchmark: 939.7951, usercpu_time_millis: 176830, usercpu_time_millis_testing: 171380, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9396, kappa: 0.8518, kb_relative_information_score: 27483.9245, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4678, scimark_benchmark: 1141.8097, usercpu_time_millis: 108590, usercpu_time_millis_testing: 105810, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9466, kappa: 0.8709, kb_relative_information_score: 29713.7051, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4356, scimark_benchmark: 1087.0535, usercpu_time_millis: 490500, usercpu_time_millis_testing: 490500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9405, kappa: 0.8549, kb_relative_information_score: 28221.5321, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4744, scimark_benchmark: 1161.1227, usercpu_time_millis: 99520, usercpu_time_millis_testing: 94700, usercpu_time_millis_training: 4820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9465, kappa: 0.8686, kb_relative_information_score: 27064.8062, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4933, scimark_benchmark: 625.5549, usercpu_time_millis: 162430, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 159110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9432, kappa: 0.8603, kb_relative_information_score: 27904.8543, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429, scimark_benchmark: 934.81, usercpu_time_millis: 129190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 129100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9202, kappa: 0.8049, kb_relative_information_score: 26416.9376, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9204, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5579, scimark_benchmark: 763.5459, usercpu_time_millis: 12650, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 12520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9285, kappa: 0.8245, kb_relative_information_score: 24716.8764, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5548, scimark_benchmark: 968.304, usercpu_time_millis: 27170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 27100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9488, kappa: 0.8744, kb_relative_information_score: 29772.1103, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5011, usercpu_time_millis: 155.133, usercpu_time_millis_testing: 5.254, usercpu_time_millis_training: 149.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9559, kappa: 0.8917, kb_relative_information_score: 30436.3561, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4643, usercpu_time_millis: 3250.951, usercpu_time_millis_testing: 28.37, usercpu_time_millis_training: 3222.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 8308.9981, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.1831, usercpu_time_millis: 105.322, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 105.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9292, kappa: 0.826, kb_relative_information_score: 27999.9023, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9291, predictive_accuracy: 0.9294, prior_entropy: 0.863, recall: 0.9294, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5882, usercpu_time_millis: 45.932, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 45.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9358, kappa: 0.8416, kb_relative_information_score: 28621.6364, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5592, usercpu_time_millis: 654.636, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 653.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 30529.3505, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4589, usercpu_time_millis: 368.227, usercpu_time_millis_testing: 367.704, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9594, kappa: 0.9005, kb_relative_information_score: 30747.2232, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, usercpu_time_millis: 1814.209, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 1810.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9425, kappa: 0.8591, kb_relative_information_score: 29190.2309, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5313, usercpu_time_millis: 95.693, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 94.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9416, kappa: 0.8568, kb_relative_information_score: 29121.1493, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5348, usercpu_time_millis: 513.28, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 512.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9482, kappa: 0.873, kb_relative_information_score: 29732.2555, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5032, usercpu_time_millis: 4925.696, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 4925.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9543, kappa: 0.888, kb_relative_information_score: 30282.2511, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, usercpu_time_millis: 2759.669, usercpu_time_millis_testing: 337.243, usercpu_time_millis_training: 2422.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 29827.9069, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, usercpu_time_millis: 128.223, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 127.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7676, kappa: 0.4046, kb_relative_information_score: 15017.8812, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7781, predictive_accuracy: 0.7876, prior_entropy: 0.863, recall: 0.7876, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.0202, usercpu_time_millis: 146.359, usercpu_time_millis_testing: 138.371, usercpu_time_millis_training: 7.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8624, kappa: 0.6601, kb_relative_information_score: 21968.5499, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8617, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.8178, usercpu_time_millis: 34.49, usercpu_time_millis_testing: 4.495, usercpu_time_millis_training: 29.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9514, kappa: 0.881, kb_relative_information_score: 30016.5527, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4879, usercpu_time_millis: 207.243, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 206.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 30898.6712, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4368, usercpu_time_millis: 1311.392, usercpu_time_millis_testing: 23.988, usercpu_time_millis_training: 1287.404,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 27449.9067, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.6127, usercpu_time_millis: 17.141, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 16.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9429, kappa: 0.8589, kb_relative_information_score: 29277.9113, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5269, usercpu_time_millis: 9.083, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 8.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 30728.6243, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4471, usercpu_time_millis: 2644.638, usercpu_time_millis_testing: 87.258, usercpu_time_millis_training: 2557.38,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9557, kappa: 0.8914, kb_relative_information_score: 29329.9981, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4431, scimark_benchmark: 897.3581, usercpu_time_millis: 12630, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 12240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.7084, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852, scimark_benchmark: 935.6931, usercpu_time_millis: 2920, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9489, kappa: 0.8746, kb_relative_information_score: 28374.4233, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4245, scimark_benchmark: 1394.6392, usercpu_time_millis: 25300, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 24860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9259, kappa: 0.8167, kb_relative_information_score: 25597.3667, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8624, kappa: 0.6601, kb_relative_information_score: 21968.5499, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8617, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9199, kappa: 0.8026, kb_relative_information_score: 25752.8762, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9259, kappa: 0.8167, kb_relative_information_score: 25597.3667, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8624, kappa: 0.6601, kb_relative_information_score: 21968.5499, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8617, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9199, kappa: 0.8026, kb_relative_information_score: 25752.8762, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9534, kappa: 0.8858, kb_relative_information_score: 28949.3695, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.382, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9469, kappa: 0.8698, kb_relative_information_score: 29603.6517, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8325, kappa: 0.5826, kb_relative_information_score: 19423.9016, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8315, predictive_accuracy: 0.8358, prior_entropy: 0.863, recall: 0.8358, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.959, kappa: 0.8996, kb_relative_information_score: 30442.8, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.382, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9546, kappa: 0.8892, kb_relative_information_score: 30221.9284, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9023, kappa: 0.7637, kb_relative_information_score: 25386.8319, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9045, predictive_accuracy: 0.9012, prior_entropy: 0.863, recall: 0.9012, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8654, kappa: 0.6634, kb_relative_information_score: 17191.9577, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.866, predictive_accuracy: 0.8689, prior_entropy: 0.863, recall: 0.8689, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9596, kappa: 0.901, kb_relative_information_score: 30468.8503, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8645, kappa: 0.6927, kb_relative_information_score: 21522.1767, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8956, predictive_accuracy: 0.8587, prior_entropy: 0.863, recall: 0.8587, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9399, kappa: 0.8524, kb_relative_information_score: 28982.987, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.1346, kappa: 0.0026, kb_relative_information_score: -13828.2855, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7592, predictive_accuracy: 0.2891, prior_entropy: 0.863, recall: 0.2891, relative_absolute_error: 1.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9543, kappa: 0.888, kb_relative_information_score: 30282.2511, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9434, kappa: 0.8597, kb_relative_information_score: 29339.022, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9469, kappa: 0.8696, kb_relative_information_score: 29607.3773, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9515, kappa: 0.881, kb_relative_information_score: 30027.1807, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7828, kappa: 0.5466, kb_relative_information_score: 13572.4822, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8687, predictive_accuracy: 0.7719, prior_entropy: 0.863, recall: 0.7719, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0574,

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