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: 0.9746, f_measure: 0.9167, kappa: 0.8294, kb_relative_information_score: 31725.2159, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9167, predictive_accuracy: 0.9168, prior_entropy: 0.9835, recall: 0.9168, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5151, scimark_benchmark: 1389.4806, usercpu_time_millis: 1361.44, usercpu_time_millis_testing: 50.49, usercpu_time_millis_training: 1310.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8593, kappa: 0.7114, kb_relative_information_score: 25657.5836, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6399, scimark_benchmark: 1377.3082, usercpu_time_millis: 931.03, usercpu_time_millis_testing: 28.18, usercpu_time_millis_training: 902.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8207, kappa: 0.6319, kb_relative_information_score: 21858.2314, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8208, predictive_accuracy: 0.8214, prior_entropy: 0.9835, recall: 0.8214, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.717, scimark_benchmark: 1376.3018, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 2.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8807, kappa: 0.7556, kb_relative_information_score: 29205.7155, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8806, predictive_accuracy: 0.8807, prior_entropy: 0.9835, recall: 0.8807, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5952, scimark_benchmark: 1367.6139, usercpu_time_millis: 869.21, usercpu_time_millis_testing: 14.63, usercpu_time_millis_training: 854.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9006, kappa: 0.7964, kb_relative_information_score: 30211.5299, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9006, predictive_accuracy: 0.9007, prior_entropy: 0.9835, recall: 0.9007, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5524, scimark_benchmark: 1442.5023, usercpu_time_millis: 368.87, usercpu_time_millis_testing: 8.69, usercpu_time_millis_training: 360.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9189, kappa: 0.8339, kb_relative_information_score: 31868.2705, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9189, predictive_accuracy: 0.919, prior_entropy: 0.9835, recall: 0.919, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5096, scimark_benchmark: 1419.658, usercpu_time_millis: 591.55, usercpu_time_millis_testing: 21.56, usercpu_time_millis_training: 569.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8157, kappa: 0.6219, kb_relative_information_score: 22331.5622, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8163, prior_entropy: 0.9835, recall: 0.8163, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7204, scimark_benchmark: 1423.9811, usercpu_time_millis: 864.01, usercpu_time_millis_testing: 30.76, usercpu_time_millis_training: 833.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8199, kappa: 0.6303, kb_relative_information_score: 21429.6068, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8201, predictive_accuracy: 0.8207, prior_entropy: 0.9835, recall: 0.8207, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7193, scimark_benchmark: 1479.3193, usercpu_time_millis: 314.06, usercpu_time_millis_testing: 27.93, usercpu_time_millis_training: 286.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9237, kappa: 0.8437, kb_relative_information_score: 32788.962, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9237, predictive_accuracy: 0.9238, prior_entropy: 0.9835, recall: 0.9238, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4925, scimark_benchmark: 1333.0575, usercpu_time_millis: 865.79, usercpu_time_millis_testing: 38.2, usercpu_time_millis_training: 827.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9272, kappa: 0.851, kb_relative_information_score: 33703.4699, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9835, recall: 0.9272, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4821, scimark_benchmark: 1417.0902, usercpu_time_millis: 725.79, usercpu_time_millis_testing: 13.29, usercpu_time_millis_training: 712.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9041, kappa: 0.8036, kb_relative_information_score: 29911.1613, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9041, predictive_accuracy: 0.9043, prior_entropy: 0.9835, recall: 0.9043, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.549, scimark_benchmark: 1397.3861, usercpu_time_millis: 268.65, usercpu_time_millis_testing: 9.27, usercpu_time_millis_training: 259.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.7997, kappa: 0.5878, kb_relative_information_score: 18433.0191, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8047, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1323.3334, usercpu_time_millis: 87, usercpu_time_millis_testing: 4.85, usercpu_time_millis_training: 82.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8492, kappa: 0.6907, kb_relative_information_score: 24747.8509, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8493, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.659, scimark_benchmark: 1390.5726, usercpu_time_millis: 681.25, usercpu_time_millis_testing: 24.55, usercpu_time_millis_training: 656.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9176, kappa: 0.8312, kb_relative_information_score: 32277.2407, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9176, predictive_accuracy: 0.9176, prior_entropy: 0.9835, recall: 0.9176, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5074, scimark_benchmark: 1354.377, usercpu_time_millis: 1057.53, usercpu_time_millis_testing: 21.22, usercpu_time_millis_training: 1036.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7919, kappa: 0.5717, kb_relative_information_score: 18269.205, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7988, predictive_accuracy: 0.7959, prior_entropy: 0.9835, recall: 0.7959, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.767, scimark_benchmark: 1367.0352, usercpu_time_millis: 197.94, usercpu_time_millis_testing: 12.02, usercpu_time_millis_training: 185.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8446, kappa: 0.6808, kb_relative_information_score: 21025.9731, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8455, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6938, scimark_benchmark: 1349.1868, usercpu_time_millis: 431.03, usercpu_time_millis_testing: 32.89, usercpu_time_millis_training: 398.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8271, kappa: 0.645, kb_relative_information_score: 22094.4334, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8274, predictive_accuracy: 0.8279, prior_entropy: 0.9835, recall: 0.8279, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.705, scimark_benchmark: 1415.1951, usercpu_time_millis: 409.4, usercpu_time_millis_testing: 18.27, usercpu_time_millis_training: 391.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.87, kappa: 0.7332, kb_relative_information_score: 23663.5392, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8702, predictive_accuracy: 0.8704, prior_entropy: 0.9835, recall: 0.8704, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6452, scimark_benchmark: 1350.2562, usercpu_time_millis: 606.1, usercpu_time_millis_testing: 44.24, usercpu_time_millis_training: 561.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7822, kappa: 0.552, kb_relative_information_score: 14972.0225, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7939, predictive_accuracy: 0.7879, prior_entropy: 0.9835, recall: 0.7879, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7925, scimark_benchmark: 1388.8782, usercpu_time_millis: 162.87, usercpu_time_millis_testing: 14.08, usercpu_time_millis_training: 148.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8542, kappa: 0.7011, kb_relative_information_score: 25421.9802, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8542, predictive_accuracy: 0.8545, prior_entropy: 0.9835, recall: 0.8545, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6493, scimark_benchmark: 1466.0718, usercpu_time_millis: 248.39, usercpu_time_millis_testing: 7.68, usercpu_time_millis_training: 240.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8933, kappa: 0.7815, kb_relative_information_score: 29613.4152, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8933, predictive_accuracy: 0.8934, prior_entropy: 0.9835, recall: 0.8934, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5687, scimark_benchmark: 1394.2707, usercpu_time_millis: 816.15, usercpu_time_millis_testing: 17.6, usercpu_time_millis_training: 798.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9007, kappa: 0.7965, kb_relative_information_score: 29278.7569, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9007, predictive_accuracy: 0.9009, prior_entropy: 0.9835, recall: 0.9009, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5586, scimark_benchmark: 1326.0617, usercpu_time_millis: 1050.31, usercpu_time_millis_testing: 64.35, usercpu_time_millis_training: 985.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8727, kappa: 0.7388, kb_relative_information_score: 26110.1215, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8728, predictive_accuracy: 0.8731, prior_entropy: 0.9835, recall: 0.8731, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6172, scimark_benchmark: 1350.6292, usercpu_time_millis: 276.79, usercpu_time_millis_testing: 15.7, usercpu_time_millis_training: 261.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9123, kappa: 0.8202, kb_relative_information_score: 30775.6989, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 0.9835, recall: 0.9124, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.529, scimark_benchmark: 1490.8514, usercpu_time_millis: 426.61, usercpu_time_millis_testing: 15.96, usercpu_time_millis_training: 410.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15064.2222, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8339, scimark_benchmark: 1353.2728, usercpu_time_millis: 150.25, usercpu_time_millis_testing: 9.25, usercpu_time_millis_training: 141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7967, kappa: 0.5836, kb_relative_information_score: 19192.3581, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9835, recall: 0.7969, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7701, scimark_benchmark: 1429.5277, usercpu_time_millis: 359.88, usercpu_time_millis_testing: 18.9, usercpu_time_millis_training: 340.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8196, kappa: 0.6295, kb_relative_information_score: 21157.8465, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8199, predictive_accuracy: 0.8204, prior_entropy: 0.9835, recall: 0.8204, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7219, scimark_benchmark: 1464.8535, usercpu_time_millis: 293.04, usercpu_time_millis_testing: 15.07, usercpu_time_millis_training: 277.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8805, kappa: 0.7551, kb_relative_information_score: 27374.8697, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8807, prior_entropy: 0.9835, recall: 0.8807, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6036, scimark_benchmark: 1436.8149, usercpu_time_millis: 932.71, usercpu_time_millis_testing: 43.59, usercpu_time_millis_training: 889.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9297, kappa: 0.8561, kb_relative_information_score: 34563.8258, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9297, predictive_accuracy: 0.9298, prior_entropy: 0.9835, recall: 0.9298, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4702, scimark_benchmark: 1432.4126, usercpu_time_millis: 119.7, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 117.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.822, kappa: 0.6345, kb_relative_information_score: 21511.2552, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8222, predictive_accuracy: 0.8228, prior_entropy: 0.9835, recall: 0.8228, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7178, scimark_benchmark: 1339.2908, usercpu_time_millis: 151.88, usercpu_time_millis_testing: 14.24, usercpu_time_millis_training: 137.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8027, kappa: 0.5939, kb_relative_information_score: 16954.398, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8087, predictive_accuracy: 0.8061, prior_entropy: 0.9835, recall: 0.8061, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7637, scimark_benchmark: 1339.532, usercpu_time_millis: 301.29, usercpu_time_millis_testing: 24.7, usercpu_time_millis_training: 276.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7491, kappa: 0.4851, kb_relative_information_score: 14910.3485, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7659, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8268, scimark_benchmark: 1474.0332, usercpu_time_millis: 93.19, usercpu_time_millis_testing: 7.55, usercpu_time_millis_training: 85.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8135, kappa: 0.6177, kb_relative_information_score: 21314.6142, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8134, predictive_accuracy: 0.8139, prior_entropy: 0.9835, recall: 0.8139, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.731, scimark_benchmark: 1455.2559, usercpu_time_millis: 807.74, usercpu_time_millis_testing: 31.49, usercpu_time_millis_training: 776.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7482, kappa: 0.4832, kb_relative_information_score: 12449.4452, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8614, scimark_benchmark: 1397.7917, usercpu_time_millis: 36.47, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 34.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8934, kappa: 0.7816, kb_relative_information_score: 28588.581, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8934, predictive_accuracy: 0.8936, prior_entropy: 0.9835, recall: 0.8936, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5762, scimark_benchmark: 1432.3958, usercpu_time_millis: 833.19, usercpu_time_millis_testing: 50.7, usercpu_time_millis_training: 782.49,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8256, kappa: 0.6418, kb_relative_information_score: 21672.0515, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8262, predictive_accuracy: 0.8266, prior_entropy: 0.9835, recall: 0.8266, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7088, scimark_benchmark: 1853.9121, usercpu_time_millis: 462.517, usercpu_time_millis_testing: 31.856, usercpu_time_millis_training: 430.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8457, kappa: 0.6834, kb_relative_information_score: 24281.893, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8458, predictive_accuracy: 0.8462, prior_entropy: 0.9835, recall: 0.8462, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6665, scimark_benchmark: 1851.3986, usercpu_time_millis: 302.242, usercpu_time_millis_testing: 19.697, usercpu_time_millis_training: 282.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8087, kappa: 0.6064, kb_relative_information_score: 19155.8266, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.812, predictive_accuracy: 0.8111, prior_entropy: 0.9835, recall: 0.8111, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7438, scimark_benchmark: 1847.8629, usercpu_time_millis: 294.817, usercpu_time_millis_testing: 19.636, usercpu_time_millis_training: 275.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7891, kappa: 0.566, kb_relative_information_score: 18050.1923, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7963, predictive_accuracy: 0.7933, prior_entropy: 0.9835, recall: 0.7933, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7671, scimark_benchmark: 1851.6628, usercpu_time_millis: 223.071, usercpu_time_millis_testing: 14.183, usercpu_time_millis_training: 208.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7542, kappa: 0.4951, kb_relative_information_score: 15776.1744, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7687, predictive_accuracy: 0.7621, prior_entropy: 0.9835, recall: 0.7621, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8133, scimark_benchmark: 1833.9713, usercpu_time_millis: 75.606, usercpu_time_millis_testing: 4.427, usercpu_time_millis_training: 71.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8222, kappa: 0.6348, kb_relative_information_score: 21512.0241, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7154, scimark_benchmark: 1843.3864, usercpu_time_millis: 64.374, usercpu_time_millis_testing: 2.725, usercpu_time_millis_training: 61.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8177, kappa: 0.6262, kb_relative_information_score: 21413.7369, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8182, prior_entropy: 0.9835, recall: 0.8182, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7266, scimark_benchmark: 1734.389, usercpu_time_millis: 187.108, usercpu_time_millis_testing: 10.52, usercpu_time_millis_training: 176.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8148, kappa: 0.6189, kb_relative_information_score: 18081.0953, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8185, predictive_accuracy: 0.8172, prior_entropy: 0.9835, recall: 0.8172, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7466, scimark_benchmark: 1802.8847, usercpu_time_millis: 88.107, usercpu_time_millis_testing: 7.067, usercpu_time_millis_training: 81.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8509, kappa: 0.6941, kb_relative_information_score: 24443.9783, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8511, predictive_accuracy: 0.8514, prior_entropy: 0.9835, recall: 0.8514, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6578, scimark_benchmark: 1737.319, usercpu_time_millis: 349.856, usercpu_time_millis_testing: 14.864, usercpu_time_millis_training: 334.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8341, kappa: 0.6594, kb_relative_information_score: 22632.9352, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8349, prior_entropy: 0.9835, recall: 0.8349, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6912, scimark_benchmark: 1842.1882, usercpu_time_millis: 284.275, usercpu_time_millis_testing: 16.143, usercpu_time_millis_training: 268.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7572, kappa: 0.5022, kb_relative_information_score: 11352.8896, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7666, prior_entropy: 0.9835, recall: 0.7666, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8413, scimark_benchmark: 1854.4431, usercpu_time_millis: 112.133, usercpu_time_millis_testing: 12.016, usercpu_time_millis_training: 100.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8367, kappa: 0.6651, kb_relative_information_score: 23857.8447, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8366, predictive_accuracy: 0.8371, prior_entropy: 0.9835, recall: 0.8371, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6846, scimark_benchmark: 1822.3834, usercpu_time_millis: 571.775, usercpu_time_millis_testing: 15.736, usercpu_time_millis_training: 556.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.556, 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: 1806.8139, usercpu_time_millis: 28.244, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 25.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7835, kappa: 0.5546, kb_relative_information_score: 15245.3209, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7947, predictive_accuracy: 0.789, prior_entropy: 0.9835, recall: 0.789, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7886, scimark_benchmark: 1314.7832, usercpu_time_millis: 50.18, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 46.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9176, kappa: 0.8312, kb_relative_information_score: 31756.7284, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9176, predictive_accuracy: 0.9177, prior_entropy: 0.9835, recall: 0.9177, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5118, scimark_benchmark: 1362.9023, usercpu_time_millis: 1833.22, usercpu_time_millis_testing: 66.28, usercpu_time_millis_training: 1766.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8201, kappa: 0.6309, kb_relative_information_score: 21716.9367, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.82, predictive_accuracy: 0.8206, prior_entropy: 0.9835, recall: 0.8206, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7191, scimark_benchmark: 1361.6874, usercpu_time_millis: 505.55, usercpu_time_millis_testing: 35.58, usercpu_time_millis_training: 469.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8939, kappa: 0.7827, kb_relative_information_score: 29204.7379, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9835, recall: 0.894, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5722, scimark_benchmark: 1428.26, usercpu_time_millis: 15.72, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 15.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9057, kappa: 0.8068, kb_relative_information_score: 30569.8849, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9057, predictive_accuracy: 0.9058, prior_entropy: 0.9835, recall: 0.9058, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5411, scimark_benchmark: 1382.3201, usercpu_time_millis: 2089.42, usercpu_time_millis_testing: 48.19, usercpu_time_millis_training: 2041.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8425, kappa: 0.677, kb_relative_information_score: 24914.3749, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6715, scimark_benchmark: 1395.8317, usercpu_time_millis: 1095.35, usercpu_time_millis_testing: 26.51, usercpu_time_millis_training: 1068.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.5855, 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: 1350.4772, usercpu_time_millis: 30.17, usercpu_time_millis_testing: 3.59, usercpu_time_millis_training: 26.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9149, kappa: 0.8258, kb_relative_information_score: 31472.1086, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 0.9835, recall: 0.915, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.257, root_relative_squared_error: 0.52, scimark_benchmark: 1347.7975, usercpu_time_millis: 699.71, usercpu_time_millis_testing: 20.95, usercpu_time_millis_training: 678.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8928, kappa: 0.7804, kb_relative_information_score: 28903.7202, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8928, predictive_accuracy: 0.8929, prior_entropy: 0.9835, recall: 0.8929, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5755, scimark_benchmark: 1330.1141, usercpu_time_millis: 547.04, usercpu_time_millis_testing: 13.34, usercpu_time_millis_training: 533.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8921, kappa: 0.7789, kb_relative_information_score: 28807.8876, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.892, predictive_accuracy: 0.8922, prior_entropy: 0.9835, recall: 0.8922, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5768, scimark_benchmark: 1437.7681, usercpu_time_millis: 160.75, usercpu_time_millis_testing: 5.38, usercpu_time_millis_training: 155.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8102, kappa: 0.6104, kb_relative_information_score: 20116.0138, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8104, predictive_accuracy: 0.8111, prior_entropy: 0.9835, recall: 0.8111, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7427, scimark_benchmark: 1402.8501, usercpu_time_millis: 13.02, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 12.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9008, kappa: 0.7967, kb_relative_information_score: 29805.9615, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9007, predictive_accuracy: 0.9009, prior_entropy: 0.9835, recall: 0.9009, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5566, scimark_benchmark: 1358.7337, usercpu_time_millis: 1360.01, usercpu_time_millis_testing: 35.04, usercpu_time_millis_training: 1324.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7545, kappa: 0.496, kb_relative_information_score: 12180.2011, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7711, predictive_accuracy: 0.763, prior_entropy: 0.9835, recall: 0.763, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8428, scimark_benchmark: 1373.343, usercpu_time_millis: 82.67, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 72.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8962, kappa: 0.7874, kb_relative_information_score: 29170.4474, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8962, predictive_accuracy: 0.8963, prior_entropy: 0.9835, recall: 0.8963, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5677, scimark_benchmark: 1504.6113, usercpu_time_millis: 1109.24, usercpu_time_millis_testing: 47.32, usercpu_time_millis_training: 1061.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.4197, 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: 1390.4567, usercpu_time_millis: 139.73, usercpu_time_millis_testing: 8.42, usercpu_time_millis_training: 131.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8385, kappa: 0.6685, kb_relative_information_score: 23189.2141, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8389, predictive_accuracy: 0.8393, prior_entropy: 0.9835, recall: 0.8393, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6817, scimark_benchmark: 1406.6176, usercpu_time_millis: 20.87, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 20.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7771, kappa: 0.5418, kb_relative_information_score: 14507.9676, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7904, predictive_accuracy: 0.7835, prior_entropy: 0.9835, recall: 0.7835, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7988, scimark_benchmark: 1357.922, usercpu_time_millis: 292.83, usercpu_time_millis_testing: 29.84, usercpu_time_millis_training: 262.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7825, kappa: 0.5522, kb_relative_information_score: 17730.5222, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7879, predictive_accuracy: 0.7862, prior_entropy: 0.9835, recall: 0.7862, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7833, scimark_benchmark: 1438.981, usercpu_time_millis: 168.98, usercpu_time_millis_testing: 8.72, usercpu_time_millis_training: 160.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.867, kappa: 0.7271, kb_relative_information_score: 23379.5446, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8673, predictive_accuracy: 0.8675, prior_entropy: 0.9835, recall: 0.8675, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.65, scimark_benchmark: 1399.4674, usercpu_time_millis: 429.27, usercpu_time_millis_testing: 33.56, usercpu_time_millis_training: 395.71,

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