OpenML
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: 0.8218, f_measure: 0.7529, kappa: 0.4916, kb_relative_information_score: 14374.9622, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8269, scimark_benchmark: 1290.5792, usercpu_time_millis: 2.031, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.93,
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: 1296.2535, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 0.93,
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: 1300.9355, usercpu_time_millis: 1.672, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.402,
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: 1300.9073, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.258,
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: 1280.5338, usercpu_time_millis: 2.132, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 1.631,
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: 1235.6354, usercpu_time_millis: 1.566, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.748, kappa: 0.482, kb_relative_information_score: 12863.128, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7597, predictive_accuracy: 0.7553, prior_entropy: 0.9835, recall: 0.7553, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8359, scimark_benchmark: 1262.1877, usercpu_time_millis: 3.473, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 3.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6948, kappa: 0.3816, kb_relative_information_score: 12302.5514, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6996, predictive_accuracy: 0.6933, prior_entropy: 0.9835, recall: 0.6933, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1300.0681, usercpu_time_millis: 323.716, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 323.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7522, kappa: 0.4901, kb_relative_information_score: 14868.4964, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8233, scimark_benchmark: 1262.252, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 2.155,
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: 1297.4926, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.908,
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: 1304.7305, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.799,
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: 1289.5623, usercpu_time_millis: 1.342, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.423, kappa: 0.0032, kb_relative_information_score: 420.8443, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7561, predictive_accuracy: 0.5766, prior_entropy: 0.9835, recall: 0.5766, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9937, scimark_benchmark: 1302.581, usercpu_time_millis: 0.924, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.822,
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: 1259.5, usercpu_time_millis: 2.229, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7536, kappa: 0.4929, kb_relative_information_score: 15140.2162, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8227, scimark_benchmark: 1269.6944, usercpu_time_millis: 2.887, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 2.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15334.7297, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8215, scimark_benchmark: 1255.667, usercpu_time_millis: 2.943, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.826,
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: 1304.7931, usercpu_time_millis: 2.632, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 2.063,
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: 1273.7826, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.436,
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: 1254.6583, usercpu_time_millis: 1.586, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.5207, kappa: 0.1254, kb_relative_information_score: 2885.1182, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7451, predictive_accuracy: 0.6217, prior_entropy: 0.9835, recall: 0.6217, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9569, scimark_benchmark: 1250.5484, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.4204, kb_relative_information_score: 33.8851, mean_absolute_error: 0.4884, 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: 0.9995, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9995, scimark_benchmark: 1282.8435, usercpu_time_millis: 1.097, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.857,
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: 1269.8766, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 0.964,
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: 1277.7792, usercpu_time_millis: 1.262, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7542, kappa: 0.4942, kb_relative_information_score: 15440.9369, mean_absolute_error: 0.3363, 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: 0.6884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8213, scimark_benchmark: 1302.9541, usercpu_time_millis: 2.478, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7494, kappa: 0.4851, kb_relative_information_score: 11862.4574, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7632, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8488, scimark_benchmark: 1304.1783, usercpu_time_millis: 1.826, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.714,
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: 1285.1556, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.744, kappa: 0.4747, kb_relative_information_score: 11048.099, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7615, predictive_accuracy: 0.7534, prior_entropy: 0.9835, recall: 0.7534, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8545, scimark_benchmark: 1277.9177, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7416, kappa: 0.4704, kb_relative_information_score: 10243.0931, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.752, prior_entropy: 0.9835, recall: 0.752, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8631, scimark_benchmark: 1297.1062, usercpu_time_millis: 2.595, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 2.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7297, kappa: 0.4508, kb_relative_information_score: 7796.7549, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7702, predictive_accuracy: 0.7464, prior_entropy: 0.9835, recall: 0.7464, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.89, scimark_benchmark: 1283.9141, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.442,
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: 1263.239, usercpu_time_millis: 1.154, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 0.902,
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: 1293.7173, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.772,
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: 1300.2476, usercpu_time_millis: 1.653, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.329,
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: 1299.8558, usercpu_time_millis: 1.726, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7248, kappa: 0.4373, kb_relative_information_score: 8709.7393, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7498, predictive_accuracy: 0.7378, prior_entropy: 0.9835, recall: 0.7378, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8795, scimark_benchmark: 1317.3398, usercpu_time_millis: 1.614, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.6038, kappa: 0.2377, kb_relative_information_score: 3914.8897, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7303, predictive_accuracy: 0.6624, prior_entropy: 0.9835, recall: 0.6624, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.942, scimark_benchmark: 1316.2149, usercpu_time_millis: 1.988, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.898,
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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: 1295.2838, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7278, kappa: 0.4447, kb_relative_information_score: 8339.9211, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7584, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8839, scimark_benchmark: 1263.9427, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6947, kappa: 0.3813, kb_relative_information_score: 12290.513, mean_absolute_error: 0.3659, 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: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1305.0635, usercpu_time_millis: 321.601, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 321.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.4248, kappa: 0.0053, kb_relative_information_score: 495.711, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7563, predictive_accuracy: 0.5774, prior_entropy: 0.9835, recall: 0.5774, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9927, scimark_benchmark: 1299.7655, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6236, kappa: 0.2743, kb_relative_information_score: 8740.9524, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6642, predictive_accuracy: 0.6256, prior_entropy: 0.9835, recall: 0.6256, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9027, scimark_benchmark: 1282.345, usercpu_time_millis: 676.998, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 676.901,
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: 1294.2311, usercpu_time_millis: 1.295, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7532, kappa: 0.4922, kb_relative_information_score: 14938.7204, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8232, scimark_benchmark: 1294.3936, usercpu_time_millis: 2.119, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 2.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7499, kappa: 0.4856, kb_relative_information_score: 13751.0993, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7599, predictive_accuracy: 0.7565, prior_entropy: 0.9835, recall: 0.7565, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8293, scimark_benchmark: 1290.0079, usercpu_time_millis: 2.328, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 2.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.6987, kappa: 0.3917, kb_relative_information_score: 6375.9318, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7484, predictive_accuracy: 0.7212, prior_entropy: 0.9835, recall: 0.7212, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9087, scimark_benchmark: 1282.7455, usercpu_time_millis: 1.72, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7535, kappa: 0.4928, kb_relative_information_score: 15191.2493, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8224, scimark_benchmark: 1317.2363, usercpu_time_millis: 2.076, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7508, kappa: 0.4874, kb_relative_information_score: 13991.5866, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8278, scimark_benchmark: 1305.6229, usercpu_time_millis: 2.461, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7466, kappa: 0.4802, kb_relative_information_score: 10608.6291, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7561, prior_entropy: 0.9835, recall: 0.7561, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8604, scimark_benchmark: 1300.2343, usercpu_time_millis: 1.725, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.629,
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: 1291.1138, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.019,
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: 1304.0798, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7251, kappa: 0.4361, kb_relative_information_score: 13828.3651, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7248, predictive_accuracy: 0.726, prior_entropy: 0.9835, recall: 0.726, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8421, scimark_benchmark: 1297.3404, usercpu_time_millis: 173.201, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 173.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6945, kappa: 0.3809, kb_relative_information_score: 12306.1995, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6993, predictive_accuracy: 0.693, prior_entropy: 0.9835, recall: 0.693, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1300.0504, usercpu_time_millis: 324.745, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 324.578,
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: 1309.1628, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.856,
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: 1308.6032, usercpu_time_millis: 1.388, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.107,
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: 1307.6329, usercpu_time_millis: 1.21, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 0.938,
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: 1305.7643, usercpu_time_millis: 1.332, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.017,
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: 1294.281, usercpu_time_millis: 1.175, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7535, kappa: 0.4928, kb_relative_information_score: 15285.4083, mean_absolute_error: 0.3382, 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: 0.6921, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1298.5305, usercpu_time_millis: 2.194, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 2.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7514, kappa: 0.4886, kb_relative_information_score: 14411.8829, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8255, scimark_benchmark: 1285.5559, usercpu_time_millis: 2.415, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.315,
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: 1309.8402, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.074,
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: 1305.9399, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7527, kappa: 0.4912, kb_relative_information_score: 15024.903, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8227, scimark_benchmark: 1282.2491, usercpu_time_millis: 3.354, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 3.248,
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: 1304.4001, usercpu_time_millis: 2.944, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 2.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.4204, kb_relative_information_score: 43.6898, mean_absolute_error: 0.4883, 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: 0.9994, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9994, scimark_benchmark: 1306.0075, usercpu_time_millis: 1.513, usercpu_time_millis_testing: -0.321, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7258, kappa: 0.4375, kb_relative_information_score: 14083.2183, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7254, predictive_accuracy: 0.7266, prior_entropy: 0.9835, recall: 0.7266, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8412, scimark_benchmark: 1253.6617, usercpu_time_millis: 162.987, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 162.886,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs