OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

25374 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: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1246.1853, usercpu_time_millis: 1.633, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6946, kappa: 0.3811, kb_relative_information_score: 12346.4595, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6994, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8621, scimark_benchmark: 1251.1471, usercpu_time_millis: 322.403, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 322.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7266, kappa: 0.4391, kb_relative_information_score: 14068.3731, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7262, predictive_accuracy: 0.7273, prior_entropy: 0.9835, recall: 0.7273, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8416, scimark_benchmark: 1252.7446, usercpu_time_millis: 165.453, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 165.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6232, kappa: 0.2735, kb_relative_information_score: 8720.0364, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6637, predictive_accuracy: 0.6252, prior_entropy: 0.9835, recall: 0.6252, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9025, scimark_benchmark: 1260.3233, usercpu_time_millis: 712.953, usercpu_time_millis_testing: -0.005, usercpu_time_millis_training: 712.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1273.1171, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.572, kappa: 0.1971, kb_relative_information_score: 3616.0888, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7525, predictive_accuracy: 0.6488, prior_entropy: 0.9835, recall: 0.6488, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9465, scimark_benchmark: 1267.0283, usercpu_time_millis: 1.858, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7535, kappa: 0.4928, kb_relative_information_score: 15245.6049, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1262.5428, usercpu_time_millis: 2.423, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 2.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1238.7597, usercpu_time_millis: 1.207, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7534, kappa: 0.4924, kb_relative_information_score: 15186.0153, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8221, scimark_benchmark: 1235.1238, usercpu_time_millis: 3.326, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 3.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1258.5694, usercpu_time_millis: 2.109, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7463, kappa: 0.479, kb_relative_information_score: 11900.4567, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7548, prior_entropy: 0.9835, recall: 0.7548, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8453, scimark_benchmark: 1262.7327, usercpu_time_millis: 2.965, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 2.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7525, kappa: 0.4907, kb_relative_information_score: 15013.3392, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1245.3289, usercpu_time_millis: 3.233, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 3.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1259.9625, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7396, kappa: 0.4669, kb_relative_information_score: 9783.3716, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7508, prior_entropy: 0.9835, recall: 0.7508, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8678, scimark_benchmark: 1263.3943, usercpu_time_millis: 2.097, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7468, kappa: 0.4801, kb_relative_information_score: 11608.9565, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7554, prior_entropy: 0.9835, recall: 0.7554, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8495, scimark_benchmark: 1256.4875, usercpu_time_millis: 3.798, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 3.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7518, kappa: 0.4897, kb_relative_information_score: 13632.6492, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7628, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8307, scimark_benchmark: 1253.7833, usercpu_time_millis: 2.344, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 2.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1245.5894, usercpu_time_millis: 1.618, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.687, kappa: 0.3745, kb_relative_information_score: 5778.7907, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7573, predictive_accuracy: 0.7161, prior_entropy: 0.9835, recall: 0.7161, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.916, scimark_benchmark: 1247.3395, usercpu_time_millis: 2.476, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7529, kappa: 0.4918, kb_relative_information_score: 14482.9517, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8258, scimark_benchmark: 1254.0489, usercpu_time_millis: 1.901, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7454, kappa: 0.4769, kb_relative_information_score: 12162.0964, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7585, predictive_accuracy: 0.7533, prior_entropy: 0.9835, recall: 0.7533, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8421, scimark_benchmark: 1260.3546, usercpu_time_millis: 2.338, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 2.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1241.3171, usercpu_time_millis: 2.024, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 1.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1245.4439, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 1.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1240.8953, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1268.0919, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1264.3579, usercpu_time_millis: 2.265, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.2957, usercpu_time_millis: 2.439, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 1.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7403, kappa: 0.4691, kb_relative_information_score: 9127.4493, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7527, prior_entropy: 0.9835, recall: 0.7527, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8748, scimark_benchmark: 1262.7718, usercpu_time_millis: 1.894, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7422, kappa: 0.4714, kb_relative_information_score: 10671.5967, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7521, prior_entropy: 0.9835, recall: 0.7521, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8583, scimark_benchmark: 1266.8018, usercpu_time_millis: 2.027, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7489, kappa: 0.4835, kb_relative_information_score: 13778.4563, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7587, predictive_accuracy: 0.7554, prior_entropy: 0.9835, recall: 0.7554, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8294, scimark_benchmark: 1263.7013, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.747, kappa: 0.4808, kb_relative_information_score: 10806.7619, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7644, predictive_accuracy: 0.7561, prior_entropy: 0.9835, recall: 0.7561, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8587, scimark_benchmark: 1255.8702, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7469, kappa: 0.4798, kb_relative_information_score: 12669.1434, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.759, predictive_accuracy: 0.7544, prior_entropy: 0.9835, recall: 0.7544, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8376, scimark_benchmark: 1265.5831, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7476, kappa: 0.4815, kb_relative_information_score: 12065.4075, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7558, prior_entropy: 0.9835, recall: 0.7558, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8443, scimark_benchmark: 1244.6311, usercpu_time_millis: 1.746, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.753, kappa: 0.4919, kb_relative_information_score: 14895.4587, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8235, scimark_benchmark: 1243.8911, usercpu_time_millis: 2.166, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1248.9318, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.6919, kappa: 0.3847, kb_relative_information_score: 5893.7232, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7209, prior_entropy: 0.9835, recall: 0.7209, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9143, scimark_benchmark: 1239.1118, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1243.1009, usercpu_time_millis: 1.083, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1270.1485, usercpu_time_millis: 1.718, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7547, kappa: 0.4951, kb_relative_information_score: 15583.6511, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.821, scimark_benchmark: 1270.8621, usercpu_time_millis: 3.179, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 3.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1267.185, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7299, kappa: 0.4504, kb_relative_information_score: 7968.315, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7459, prior_entropy: 0.9835, recall: 0.7459, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.888, scimark_benchmark: 1264.6637, usercpu_time_millis: 1.676, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1265.2641, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1266.7932, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6947, kappa: 0.3813, kb_relative_information_score: 12310.8341, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6995, predictive_accuracy: 0.6932, prior_entropy: 0.9835, recall: 0.6932, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1273.9702, usercpu_time_millis: 349.211, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 349.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6231, kappa: 0.2733, kb_relative_information_score: 8712.9971, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6636, predictive_accuracy: 0.6251, prior_entropy: 0.9835, recall: 0.6251, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9025, scimark_benchmark: 1237.4127, usercpu_time_millis: 715.768, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 715.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1280.0618, usercpu_time_millis: 1.263, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.747, kappa: 0.4801, kb_relative_information_score: 12179.2258, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7549, prior_entropy: 0.9835, recall: 0.7549, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8418, scimark_benchmark: 1266.9427, usercpu_time_millis: 2.128, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7546, kappa: 0.4949, kb_relative_information_score: 15617.1157, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8211, scimark_benchmark: 1252.3765, usercpu_time_millis: 3.203, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 3.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7526, kappa: 0.491, kb_relative_information_score: 14538.8695, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7617, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.825, scimark_benchmark: 1256.8945, usercpu_time_millis: 2.482, usercpu_time_millis_testing: -0.023, usercpu_time_millis_training: 2.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.3825, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.752, kappa: 0.4897, kb_relative_information_score: 14843.5589, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8234, scimark_benchmark: 1267.9011, usercpu_time_millis: 2.89, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 2.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7542, kappa: 0.4942, kb_relative_information_score: 15482.7869, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1252.9352, usercpu_time_millis: 3.301, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 3.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.698, kappa: 0.3901, kb_relative_information_score: 6363.8193, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7468, predictive_accuracy: 0.7204, prior_entropy: 0.9835, recall: 0.7204, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9089, scimark_benchmark: 1267.3848, usercpu_time_millis: 3.14, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7543, kappa: 0.4943, kb_relative_information_score: 15544.6274, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8212, scimark_benchmark: 1244.9453, usercpu_time_millis: 3.057, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7544, kappa: 0.4945, kb_relative_information_score: 15528.6702, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8213, scimark_benchmark: 1261.4763, usercpu_time_millis: 3.447, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 3.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1261.7709, usercpu_time_millis: 1.811, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1252.6914, usercpu_time_millis: 2.542, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 2.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7542, kappa: 0.4942, kb_relative_information_score: 15443.9573, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8213, scimark_benchmark: 1272.8675, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7549, kappa: 0.4956, kb_relative_information_score: 15708.7933, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.76, prior_entropy: 0.9835, recall: 0.76, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8207, scimark_benchmark: 1263.6717, usercpu_time_millis: 2.739, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 2.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1273.5658, usercpu_time_millis: 1.185, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.4285, kappa: 0.0097, kb_relative_information_score: 789.9188, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7518, predictive_accuracy: 0.579, prior_entropy: 0.9835, recall: 0.579, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9884, scimark_benchmark: 1261.7554, usercpu_time_millis: 1.61, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7529, kappa: 0.4915, kb_relative_information_score: 14828.3276, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8236, scimark_benchmark: 1257.9185, usercpu_time_millis: 2.368, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7542, kappa: 0.4942, kb_relative_information_score: 15512.8259, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1246.3527, usercpu_time_millis: 2.543, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1265.2336, usercpu_time_millis: 1.259, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1261.9942, usercpu_time_millis: 2.171, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1253.8771, usercpu_time_millis: 1.646, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1245.9874, usercpu_time_millis: 2.486, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 1.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7514, kappa: 0.4885, kb_relative_information_score: 14445.8867, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8252, scimark_benchmark: 1254.1183, usercpu_time_millis: 2.914, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1242.8721, usercpu_time_millis: 2.483, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1247.9129, usercpu_time_millis: 1.692, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1253.2137, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1255.7752, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7175, kappa: 0.4239, kb_relative_information_score: 7915.5876, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7475, predictive_accuracy: 0.7326, prior_entropy: 0.9835, recall: 0.7326, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8892, scimark_benchmark: 1255.0708, usercpu_time_millis: 2.661, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1252.4212, usercpu_time_millis: 2.791, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 2.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1273.2621, usercpu_time_millis: 1.021, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1268.843, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7521, kappa: 0.4899, kb_relative_information_score: 14554.2177, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8248, scimark_benchmark: 1271.1558, usercpu_time_millis: 1.922, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7534, kappa: 0.4924, kb_relative_information_score: 15262.3895, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1258.0086, usercpu_time_millis: 2.305, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 2.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1242.5217, usercpu_time_millis: 1.516, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1262.9088, usercpu_time_millis: 1.618, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7526, kappa: 0.491, kb_relative_information_score: 14987.1456, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8229, scimark_benchmark: 1249.3802, usercpu_time_millis: 3.141, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 3.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1263.1894, usercpu_time_millis: 2.409, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 1.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1244.7111, usercpu_time_millis: 1.845, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1246.2386, usercpu_time_millis: 1.788, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1252.003, usercpu_time_millis: 2.981, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1238.9795, usercpu_time_millis: 1.916, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7534, kappa: 0.4924, kb_relative_information_score: 15182.2827, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8221, scimark_benchmark: 1241.6713, usercpu_time_millis: 4.143, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 4.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1253.3659, usercpu_time_millis: 1.665, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7512, kappa: 0.4882, kb_relative_information_score: 14309.5048, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.826, scimark_benchmark: 1241.2507, usercpu_time_millis: 2.112, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 2.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7533, kappa: 0.4925, kb_relative_information_score: 15012.3125, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1279.0502, usercpu_time_millis: 1.961, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.6233, usercpu_time_millis: 1.539, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7517, kappa: 0.4894, kb_relative_information_score: 13591.2514, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7627, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8314, scimark_benchmark: 1252.2123, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7516, kappa: 0.4891, kb_relative_information_score: 13529.8089, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8329, scimark_benchmark: 1260.2904, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1250.9632, usercpu_time_millis: 1.587, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1249.2701, usercpu_time_millis: 1.715, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1232.61, usercpu_time_millis: 1.525, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1239.937, usercpu_time_millis: 1.416, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1250.6487, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7477, kappa: 0.4817, kb_relative_information_score: 11921.1755, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7559, prior_entropy: 0.9835, recall: 0.7559, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8464, scimark_benchmark: 1262.3548, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.8336, usercpu_time_millis: 1.451, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.434, kappa: 0.0163, kb_relative_information_score: 1234.0852, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7516, predictive_accuracy: 0.5815, prior_entropy: 0.9835, recall: 0.5815, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9816, scimark_benchmark: 1250.1239, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.705,

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