Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

19049 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7359, kappa: 0.4677, kb_relative_information_score: 1686.7457, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9985, scimark_benchmark: 1048.8313, usercpu_time_millis: 22910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 22890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7458, kappa: 0.4876, kb_relative_information_score: 1824.4203, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0114, scimark_benchmark: 1033.1759, usercpu_time_millis: 129980, usercpu_time_millis_testing: 129950, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7622, kappa: 0.5203, kb_relative_information_score: 1453.4451, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8571, scimark_benchmark: 1129.5512, usercpu_time_millis: 4750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7956, kappa: 0.5878, kb_relative_information_score: 1405.9178, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7769, scimark_benchmark: 1165.9602, usercpu_time_millis: 9870, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 9280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6191, kappa: 0.2332, kb_relative_information_score: 879.0751, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6234, predictive_accuracy: 0.6252, prior_entropy: 0.9948, recall: 0.6252, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1609, scimark_benchmark: 1205.172, usercpu_time_millis: 8150, usercpu_time_millis_testing: 3520, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7551, kappa: 0.5062, kb_relative_information_score: 1236.1279, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8624, scimark_benchmark: 1240.8556, usercpu_time_millis: 35570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 35550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6482, kappa: 0.2977, kb_relative_information_score: 1164.9578, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6653, predictive_accuracy: 0.6598, prior_entropy: 0.9948, recall: 0.6598, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1653, scimark_benchmark: 1125.2271, usercpu_time_millis: 6380, usercpu_time_millis_testing: 5280, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7381, kappa: 0.4719, kb_relative_information_score: 1768.6316, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0265, scimark_benchmark: 1253.4374, usercpu_time_millis: 11320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 11220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6756, kappa: 0.3467, kb_relative_information_score: 1288.9272, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6757, predictive_accuracy: 0.6756, prior_entropy: 0.9948, recall: 0.6756, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.564, root_relative_squared_error: 1.132, scimark_benchmark: 921.3548, usercpu_time_millis: 90520, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 90320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.7509, kappa: 0.4976, kb_relative_information_score: 1867.6479, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005, scimark_benchmark: 1143.0238, usercpu_time_millis: 757000, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 756850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7467, kappa: 0.489, kb_relative_information_score: 1502.6059, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8497, scimark_benchmark: 1313.855, usercpu_time_millis: 219680, usercpu_time_millis_testing: 219670, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7344, kappa: 0.4657, kb_relative_information_score: 1317.9461, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7349, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8472, scimark_benchmark: 1291.7196, usercpu_time_millis: 234110, usercpu_time_millis_testing: 234110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6793, kappa: 0.3539, kb_relative_information_score: 1315.3723, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6793, predictive_accuracy: 0.6793, prior_entropy: 0.9948, recall: 0.6793, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1298, scimark_benchmark: 1369.8928, usercpu_time_millis: 3100, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.701, kappa: 0.3969, kb_relative_information_score: 1082.52, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.7038, prior_entropy: 0.9948, recall: 0.7038, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9232, scimark_benchmark: 484.3089, usercpu_time_millis: 4020, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7226, kappa: 0.4409, kb_relative_information_score: 1334.0101, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8865, scimark_benchmark: 908.0709, usercpu_time_millis: 5890, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.6385, kappa: 0.2836, kb_relative_information_score: 707.0894, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6649, predictive_accuracy: 0.6548, prior_entropy: 0.9948, recall: 0.6548, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0719, scimark_benchmark: 1199.8671, usercpu_time_millis: 3240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.7405, kappa: 0.477, kb_relative_information_score: 1230.8782, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7404, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8763, scimark_benchmark: 1028.8011, usercpu_time_millis: 3250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7378, kappa: 0.473, kb_relative_information_score: 1760.5486, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7388, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0286, scimark_benchmark: 814.6535, usercpu_time_millis: 5960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.72, kappa: 0.4354, kb_relative_information_score: 1267.7621, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7199, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8996, scimark_benchmark: 1014.3829, usercpu_time_millis: 3880, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7331, kappa: 0.4628, kb_relative_information_score: 1269.1264, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7334, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8679, scimark_benchmark: 1169.985, usercpu_time_millis: 4960, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7288, kappa: 0.469, kb_relative_information_score: 1680.5042, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9038, scimark_benchmark: 1160.699, usercpu_time_millis: 225740, usercpu_time_millis_testing: 225730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6665, kappa: 0.352, kb_relative_information_score: 1266.2686, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6955, predictive_accuracy: 0.67, prior_entropy: 0.9948, recall: 0.67, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9916, scimark_benchmark: 1067.5319, usercpu_time_millis: 3810, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.3571, kappa: 0.0424, kb_relative_information_score: 17.1532, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6456, predictive_accuracy: 0.4844, prior_entropy: 0.9948, recall: 0.4844, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0164, scimark_benchmark: 763.2938, usercpu_time_millis: 362750, usercpu_time_millis_testing: 25930, usercpu_time_millis_training: 336820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7557, kappa: 0.5075, kb_relative_information_score: 1341.102, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.831, scimark_benchmark: 871.0168, usercpu_time_millis: 120930, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7357, kappa: 0.4679, kb_relative_information_score: 1110.3911, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7359, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8617, scimark_benchmark: 1305.6825, usercpu_time_millis: 2510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7355, kappa: 0.4695, kb_relative_information_score: 1050.888, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 991.4333, usercpu_time_millis: 6180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7556, kappa: 0.5069, kb_relative_information_score: 1184.4824, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8555, usercpu_time_millis: 34.269, usercpu_time_millis_testing: 3.274, usercpu_time_millis_training: 30.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7419, kappa: 0.4827, kb_relative_information_score: 1267.7963, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7448, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8559, usercpu_time_millis: 17.648, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 16.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.862, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, usercpu_time_millis: 201.091, usercpu_time_millis_testing: 200.255, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.5989, kappa: 0.2223, kb_relative_information_score: 936.9162, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6482, predictive_accuracy: 0.6292, prior_entropy: 0.9948, recall: 0.6292, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6074, root_relative_squared_error: 1.2191, usercpu_time_millis: 234.911, usercpu_time_millis_testing: 212.777, usercpu_time_millis_training: 22.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8081, kappa: 0.6132, kb_relative_information_score: 1441.3003, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7661, usercpu_time_millis: 377.802, usercpu_time_millis_testing: 4.992, usercpu_time_millis_training: 372.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.3813, kb_relative_information_score: 111.7655, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9795, usercpu_time_millis: 1345.718, usercpu_time_millis_testing: 624.791, usercpu_time_millis_training: 720.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7741, kappa: 0.5447, kb_relative_information_score: 1482.4394, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, usercpu_time_millis: 2918.086, usercpu_time_millis_testing: 48.219, usercpu_time_millis_training: 2869.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7749, kappa: 0.5458, kb_relative_information_score: 1362.743, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8071, usercpu_time_millis: 2291.143, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2290.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7611, kappa: 0.5179, kb_relative_information_score: 1345.9427, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8661, scimark_benchmark: 1453.2107, usercpu_time_millis: 11710, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 11380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6482, kappa: 0.2977, kb_relative_information_score: 1164.9578, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6653, predictive_accuracy: 0.6598, prior_entropy: 0.9948, recall: 0.6598, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1653, scimark_benchmark: 935.6931, usercpu_time_millis: 6230, usercpu_time_millis_testing: 4100, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7705, kappa: 0.5371, kb_relative_information_score: 1532.2118, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7707, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8052, scimark_benchmark: 944.8364, usercpu_time_millis: 38880, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 38270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8112, kappa: 0.6194, kb_relative_information_score: 1627.2597, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7482, scimark_benchmark: 944.8364, usercpu_time_millis: 509010, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 506860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6482, kappa: 0.2977, kb_relative_information_score: 1164.9578, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6653, predictive_accuracy: 0.6598, prior_entropy: 0.9948, recall: 0.6598, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7467, kappa: 0.4897, kb_relative_information_score: 1218.6158, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.6307, kappa: 0.2551, kb_relative_information_score: 958.3142, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6304, predictive_accuracy: 0.6316, prior_entropy: 0.9948, recall: 0.6316, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6191, kappa: 0.2332, kb_relative_information_score: 879.0751, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6234, predictive_accuracy: 0.6252, prior_entropy: 0.9948, recall: 0.6252, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6482, kappa: 0.2977, kb_relative_information_score: 1164.9578, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6653, predictive_accuracy: 0.6598, prior_entropy: 0.9948, recall: 0.6598, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7467, kappa: 0.4897, kb_relative_information_score: 1218.6158, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.6307, kappa: 0.2551, kb_relative_information_score: 958.3142, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6304, predictive_accuracy: 0.6316, prior_entropy: 0.9948, recall: 0.6316, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6191, kappa: 0.2332, kb_relative_information_score: 879.0751, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6234, predictive_accuracy: 0.6252, prior_entropy: 0.9948, recall: 0.6252, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7622, kappa: 0.5203, kb_relative_information_score: 1453.4451, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -0.0153, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6803, kappa: 0.3556, kb_relative_information_score: 1330.1306, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6802, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5651, root_relative_squared_error: 1.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 982.1347, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6482, kappa: 0.2977, kb_relative_information_score: 1164.9578, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6653, predictive_accuracy: 0.6598, prior_entropy: 0.9948, recall: 0.6598, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -0.0153, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7369, kappa: 0.4706, kb_relative_information_score: 1721.0427, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6912, kappa: 0.3792, kb_relative_information_score: 1395.9666, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6921, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5489, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7461, kappa: 0.4884, kb_relative_information_score: 1782.761, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7461, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6343, kappa: 0.2636, kb_relative_information_score: 475.5185, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6387, predictive_accuracy: 0.6398, prior_entropy: 0.9948, recall: 0.6398, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.59, kappa: 0.2345, kb_relative_information_score: 1018.9364, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7017, predictive_accuracy: 0.6396, prior_entropy: 0.9948, recall: 0.6396, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6004, root_relative_squared_error: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.757, kappa: 0.5097, kb_relative_information_score: 1920.0694, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.788, kappa: 0.5722, kb_relative_information_score: 2150.5518, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.789, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7458, kappa: 0.4876, kb_relative_information_score: 1825.2124, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7423, kappa: 0.4805, kb_relative_information_score: 1798.9427, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.3646, kappa: 0.0459, kb_relative_information_score: -40.2387, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6382, predictive_accuracy: 0.4868, prior_entropy: 0.9948, recall: 0.4868, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7306, kappa: 0.4564, kb_relative_information_score: 1724.1753, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7329, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -359.2095, mean_absolute_error: 0.5423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7364, root_relative_squared_error: 1.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.706, kappa: 0.4077, kb_relative_information_score: 1499.9895, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.706, predictive_accuracy: 0.7059, prior_entropy: 0.9948, recall: 0.7059, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7656, kappa: 0.5271, kb_relative_information_score: 1905.4625, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7249, kappa: 0.4577, kb_relative_information_score: 1024.1339, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7257, prior_entropy: 0.9948, recall: 0.7257, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.766, kappa: 0.5279, kb_relative_information_score: 1393.2045, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7619, kappa: 0.5197, kb_relative_information_score: 1342.6162, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1568.812, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7864, kappa: 0.5692, kb_relative_information_score: 1678.6218, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7864, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.4464, kappa: 0.0935, kb_relative_information_score: -40.0624, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6189, predictive_accuracy: 0.5185, prior_entropy: 0.9948, recall: 0.5185, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7779, kappa: 0.5519, kb_relative_information_score: 1517.2029, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 993.7163, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6229, kappa: 0.2447, kb_relative_information_score: 729.2841, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.634, predictive_accuracy: 0.6332, prior_entropy: 0.9948, recall: 0.6332, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7381, kappa: 0.4719, kb_relative_information_score: 1768.6316, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7632, kappa: 0.5222, kb_relative_information_score: 1474.2813, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7631, kappa: 0.525, kb_relative_information_score: 1386.903, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.652, kappa: 0.3041, kb_relative_information_score: 1123.3873, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6672, predictive_accuracy: 0.6625, prior_entropy: 0.9948, recall: 0.6625, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7865, kappa: 0.5691, kb_relative_information_score: 2138.4273, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8027, kappa: 0.602, kb_relative_information_score: 1342.7944, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7591, kappa: 0.5138, kb_relative_information_score: 1278.5376, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7604, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7452, kappa: 0.486, kb_relative_information_score: 1186.3263, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7861, kappa: 0.5686, kb_relative_information_score: 1304.2451, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7865, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7458, kappa: 0.4876, kb_relative_information_score: 1824.4203, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.744, kappa: 0.4841, kb_relative_information_score: 1761.9447, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7439, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7461, kappa: 0.4882, kb_relative_information_score: 1696.6749, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.746, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6979, kappa: 0.3903, kb_relative_information_score: 1082.4518, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6237, kappa: 0.2412, kb_relative_information_score: 853.764, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6234, predictive_accuracy: 0.6244, prior_entropy: 0.9948, recall: 0.6244, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6968, kappa: 0.3886, kb_relative_information_score: 1455.4166, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6966, predictive_accuracy: 0.6971, prior_entropy: 0.9948, recall: 0.6971, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7452, kappa: 0.4863, kb_relative_information_score: 1660.7232, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7451, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7448, kappa: 0.4858, kb_relative_information_score: 1728.7906, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7447, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7427, kappa: 0.4814, kb_relative_information_score: 1591.0909, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7426, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7367, kappa: 0.4708, kb_relative_information_score: 1752.4657, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7491, kappa: 0.4939, kb_relative_information_score: 1552.8002, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7492, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7283, kappa: 0.4526, kb_relative_information_score: 1629.8534, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7283, predictive_accuracy: 0.7283, prior_entropy: 0.9948, recall: 0.7283, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7519, kappa: 0.4995, kb_relative_information_score: 1453.8501, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7583, kappa: 0.5125, kb_relative_information_score: 1364.3815, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7613, kappa: 0.5187, kb_relative_information_score: 1327.2705, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7581, kappa: 0.5121, kb_relative_information_score: 1311.4591, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8478,

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

OpenML bootcamp

From your own software

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

OpenML APIs