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: 0.8174, f_measure: 0.7454, kappa: 0.4773, kb_relative_information_score: 11714.8664, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.754, prior_entropy: 0.9835, recall: 0.754, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8462, scimark_benchmark: 1278.1114, usercpu_time_millis: 1.627, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.535,
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: 1314.8399, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.835,
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: 1300.6713, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7529, kappa: 0.4914, kb_relative_information_score: 15092.1659, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8224, scimark_benchmark: 1278.818, usercpu_time_millis: 3.263, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 3.14,
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: 1289.8112, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 1.696,
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: 1297.6808, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.363,
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: 1282.0644, usercpu_time_millis: 1.57, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.263,
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: 1273.2378, usercpu_time_millis: 2.178, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7536, kappa: 0.4928, kb_relative_information_score: 15282.4878, 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: 0.6922, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8217, scimark_benchmark: 1276.3434, usercpu_time_millis: 2.624, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.507,
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: 1300.9267, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 1.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.4204, kb_relative_information_score: 6.4372, 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: 0.9999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9999, scimark_benchmark: 1297.8302, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7463, kappa: 0.4785, kb_relative_information_score: 12747.6004, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7581, predictive_accuracy: 0.7537, prior_entropy: 0.9835, recall: 0.7537, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.837, scimark_benchmark: 1307.7508, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 2.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7549, kappa: 0.4955, kb_relative_information_score: 15692.2618, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8207, scimark_benchmark: 1280.8297, usercpu_time_millis: 2.585, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 2.484,
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: 1282.6498, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 0.868,
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: 1282.4163, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 0.894,
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: 1281.3907, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.6394, kappa: 0.298, kb_relative_information_score: 4563.7849, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7571, predictive_accuracy: 0.6871, prior_entropy: 0.9835, recall: 0.6871, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9327, scimark_benchmark: 1285.7016, usercpu_time_millis: 2.02, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.92,
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: 1278.5336, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.742, kappa: 0.4716, kb_relative_information_score: 9901.8431, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7639, predictive_accuracy: 0.7528, prior_entropy: 0.9835, recall: 0.7528, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8671, scimark_benchmark: 1277.0593, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7534, kappa: 0.4927, kb_relative_information_score: 15085.1426, mean_absolute_error: 0.3407, 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: 0.6973, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8229, scimark_benchmark: 1277.7234, usercpu_time_millis: 3.211, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 3.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.4707, kappa: 0.0618, kb_relative_information_score: 2099.4573, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7541, predictive_accuracy: 0.5983, prior_entropy: 0.9835, recall: 0.5983, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.479, root_relative_squared_error: 0.969, scimark_benchmark: 1270.4343, usercpu_time_millis: 1.587, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.4904, kappa: 0.0841, kb_relative_information_score: 2392.2217, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7285, predictive_accuracy: 0.606, prior_entropy: 0.9835, recall: 0.606, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9638, scimark_benchmark: 1275.1664, usercpu_time_millis: 2.342, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.203,
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: 1302.5111, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7533, kappa: 0.4925, kb_relative_information_score: 15105.88, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1302.1048, usercpu_time_millis: 2.266, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.13,
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: 1303.024, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.75, kappa: 0.4863, kb_relative_information_score: 12233.2064, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7631, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8453, scimark_benchmark: 1298.5002, usercpu_time_millis: 2.808, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 2.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7517, kappa: 0.4891, kb_relative_information_score: 14483.9209, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.825, scimark_benchmark: 1293.5626, usercpu_time_millis: 4.02, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 3.81,
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: 1303.9331, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7528, kappa: 0.4915, kb_relative_information_score: 14540.3775, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8253, scimark_benchmark: 1304.4503, usercpu_time_millis: 1.792, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7524, kappa: 0.4905, kb_relative_information_score: 14909.0672, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8232, scimark_benchmark: 1288.1128, usercpu_time_millis: 2.544, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 2.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7434, kappa: 0.4732, kb_relative_information_score: 11381.172, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7591, predictive_accuracy: 0.7522, prior_entropy: 0.9835, recall: 0.7522, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8495, scimark_benchmark: 1314.8069, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.694,
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: 1303.9893, usercpu_time_millis: 1.485, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7277, kappa: 0.4445, kb_relative_information_score: 8323.5995, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7585, predictive_accuracy: 0.7421, prior_entropy: 0.9835, recall: 0.7421, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8841, scimark_benchmark: 1305.5369, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.792,
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: 1280.4405, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.331,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7502, kappa: 0.4866, kb_relative_information_score: 12930.4105, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.838, scimark_benchmark: 1289.8865, usercpu_time_millis: 2.294, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.158,
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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: 1269.8835, usercpu_time_millis: 1.572, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7405, kappa: 0.4687, kb_relative_information_score: 9706.2755, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7635, predictive_accuracy: 0.7517, prior_entropy: 0.9835, recall: 0.7517, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8691, scimark_benchmark: 1305.1456, usercpu_time_millis: 3.655, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 3.422,
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: 1275.1112, usercpu_time_millis: 1.475, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.203,
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: 1286.3137, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7529, kappa: 0.4917, kb_relative_information_score: 14618.5111, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8252, scimark_benchmark: 1300.0846, usercpu_time_millis: 3.11, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 3.001,
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: 1300.6645, usercpu_time_millis: 2.46, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 1.933,
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: 1265.2587, usercpu_time_millis: 2.464, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7468, kappa: 0.4794, kb_relative_information_score: 13140.2959, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7578, predictive_accuracy: 0.7539, prior_entropy: 0.9835, recall: 0.7539, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8341, scimark_benchmark: 1298.5251, usercpu_time_millis: 1.948, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.843,
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: 1296.0705, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.033,
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: 1304.609, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7536, kappa: 0.4928, kb_relative_information_score: 15303.9194, mean_absolute_error: 0.338, 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: 0.6917, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8216, scimark_benchmark: 1300.1167, usercpu_time_millis: 2.41, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 2.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7507, kappa: 0.4873, kb_relative_information_score: 14200.8917, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7601, predictive_accuracy: 0.757, prior_entropy: 0.9835, recall: 0.757, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8265, scimark_benchmark: 1298.4634, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7526, kappa: 0.4909, kb_relative_information_score: 14887.9248, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8233, scimark_benchmark: 1288.3754, usercpu_time_millis: 2.884, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 2.779,
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: 1278.5409, usercpu_time_millis: 1.732, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.382,
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: 1280.2186, usercpu_time_millis: 2.5, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 2.106,
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: 1277.2893, usercpu_time_millis: 1.825, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.479,
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: 1287.6462, usercpu_time_millis: 1.217, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.949,
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: 1272.8314, usercpu_time_millis: 1.166, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 0.883,
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: 1272.0928, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.013,
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: 1274.4815, usercpu_time_millis: 1.312, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 0.966,
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: 1313.1471, usercpu_time_millis: 2.076, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7315, kappa: 0.4496, kb_relative_information_score: 9831.031, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7505, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8666, scimark_benchmark: 1277.3156, usercpu_time_millis: 2.727, usercpu_time_millis_testing: -0.451, usercpu_time_millis_training: 3.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.4204, kb_relative_information_score: 86.3808, mean_absolute_error: 0.488, 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: 0.9987, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9987, scimark_benchmark: 1262.5137, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7107, kappa: 0.4173, kb_relative_information_score: 6636.4532, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7683, predictive_accuracy: 0.7335, prior_entropy: 0.9835, recall: 0.7335, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9045, scimark_benchmark: 1266.0938, usercpu_time_millis: 1.736, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7494, kappa: 0.4847, kb_relative_information_score: 13256.0106, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7564, prior_entropy: 0.9835, recall: 0.7564, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8328, scimark_benchmark: 1313.8858, usercpu_time_millis: 2.512, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.41,
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: 1303.4225, usercpu_time_millis: 1.508, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7429, kappa: 0.4737, kb_relative_information_score: 9652.8992, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7667, predictive_accuracy: 0.7542, prior_entropy: 0.9835, recall: 0.7542, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 1314.1981, usercpu_time_millis: 2.11, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.939,
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: 1303.0033, usercpu_time_millis: 1.195, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 0.939,
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: 1283.6058, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.008,
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: 1272.4078, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.65,

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