Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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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,
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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,
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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