Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7668, kappa: 0.5199, kb_relative_information_score: 15847.9863, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7729, predictive_accuracy: 0.7713, prior_entropy: 0.9835, recall: 0.7713, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8154, scimark_benchmark: 1328.2093, usercpu_time_millis: 6476.907, usercpu_time_millis_testing: 35.851, usercpu_time_millis_training: 6441.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.781, kappa: 0.5492, kb_relative_information_score: 18261.1821, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7849, predictive_accuracy: 0.7842, prior_entropy: 0.9835, recall: 0.7842, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7875, scimark_benchmark: 1322.1121, usercpu_time_millis: 6045.299, usercpu_time_millis_testing: 26.879, usercpu_time_millis_training: 6018.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7484, kappa: 0.4846, kb_relative_information_score: 14243.4596, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7706, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8217, scimark_benchmark: 1320.521, usercpu_time_millis: 6625.626, usercpu_time_millis_testing: 37.572, usercpu_time_millis_training: 6588.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15901.6812, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1289.1879, usercpu_time_millis: 4844.634, usercpu_time_millis_testing: 25.119, usercpu_time_millis_training: 4819.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8576, kappa: 0.7076, kb_relative_information_score: 22343.5587, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8581, predictive_accuracy: 0.8583, prior_entropy: 0.9835, recall: 0.8583, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.671, scimark_benchmark: 1249.4113, usercpu_time_millis: 73.92, usercpu_time_millis_testing: 4.938, usercpu_time_millis_training: 68.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8184, kappa: 0.6264, kb_relative_information_score: 20109.7108, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8205, predictive_accuracy: 0.8202, prior_entropy: 0.9835, recall: 0.8202, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7287, scimark_benchmark: 1227.3759, usercpu_time_millis: 681.479, usercpu_time_millis_testing: 49.535, usercpu_time_millis_training: 631.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.813, kappa: 0.6153, kb_relative_information_score: 19554.2218, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8158, predictive_accuracy: 0.8151, prior_entropy: 0.9835, recall: 0.8151, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7377, scimark_benchmark: 1248.7562, usercpu_time_millis: 461.09, usercpu_time_millis_testing: 33.29, usercpu_time_millis_training: 427.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8701, kappa: 0.7336, kb_relative_information_score: 26289.003, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8702, predictive_accuracy: 0.8705, prior_entropy: 0.9835, recall: 0.8705, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6213, scimark_benchmark: 1260.5551, usercpu_time_millis: 1802.666, usercpu_time_millis_testing: 75.156, usercpu_time_millis_training: 1727.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8218, kappa: 0.6345, kb_relative_information_score: 21961.132, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8218, predictive_accuracy: 0.8224, prior_entropy: 0.9835, recall: 0.8224, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7145, scimark_benchmark: 1249.8913, usercpu_time_millis: 620.545, usercpu_time_millis_testing: 34.486, usercpu_time_millis_training: 586.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9046, kappa: 0.8047, kb_relative_information_score: 32008.6298, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, recall: 0.9047, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5371, scimark_benchmark: 1251.7949, usercpu_time_millis: 1301.696, usercpu_time_millis_testing: 20.535, usercpu_time_millis_training: 1281.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8217, kappa: 0.6334, kb_relative_information_score: 20533.8574, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8232, predictive_accuracy: 0.8232, prior_entropy: 0.9835, recall: 0.8232, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7219, scimark_benchmark: 1243.0322, usercpu_time_millis: 702.453, usercpu_time_millis_testing: 37.44, usercpu_time_millis_training: 665.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8407, kappa: 0.6729, kb_relative_information_score: 23223.3496, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.841, predictive_accuracy: 0.8414, prior_entropy: 0.9835, recall: 0.8414, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6808, scimark_benchmark: 1260.031, usercpu_time_millis: 1592.86, usercpu_time_millis_testing: 99.722, usercpu_time_millis_training: 1493.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9112, kappa: 0.8182, kb_relative_information_score: 30943.1653, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9112, predictive_accuracy: 0.9113, prior_entropy: 0.9835, recall: 0.9113, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5294, scimark_benchmark: 1238.2369, usercpu_time_millis: 1057.54, usercpu_time_millis_testing: 34.92, usercpu_time_millis_training: 1022.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8287, kappa: 0.6484, kb_relative_information_score: 22664.5103, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8287, predictive_accuracy: 0.8292, prior_entropy: 0.9835, recall: 0.8292, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7011, scimark_benchmark: 1252.5312, usercpu_time_millis: 1058.558, usercpu_time_millis_testing: 59.178, usercpu_time_millis_training: 999.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8857, kappa: 0.7657, kb_relative_information_score: 27708.957, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8856, predictive_accuracy: 0.8858, prior_entropy: 0.9835, recall: 0.8858, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5952, scimark_benchmark: 1246.1486, usercpu_time_millis: 1426.133, usercpu_time_millis_testing: 71.527, usercpu_time_millis_training: 1354.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8604, kappa: 0.7138, kb_relative_information_score: 25704.2018, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8604, predictive_accuracy: 0.8607, prior_entropy: 0.9835, recall: 0.8607, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6427, scimark_benchmark: 1239.8844, usercpu_time_millis: 72.694, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 69.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 15929.031, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1314.1211, usercpu_time_millis: 4395.926, usercpu_time_millis_testing: 26.154, usercpu_time_millis_training: 4369.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7868, kappa: 0.5613, kb_relative_information_score: 19270.4628, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7896, predictive_accuracy: 0.7894, prior_entropy: 0.9835, recall: 0.7894, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7759, scimark_benchmark: 1312.3241, usercpu_time_millis: 9057.485, usercpu_time_millis_testing: 49.127, usercpu_time_millis_training: 9008.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4999, kb_relative_information_score: 15921.1257, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1288.3625, usercpu_time_millis: 4467.722, usercpu_time_millis_testing: 25.343, usercpu_time_millis_training: 4442.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8247, kappa: 0.6398, kb_relative_information_score: 21457.6582, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8255, predictive_accuracy: 0.8258, prior_entropy: 0.9835, recall: 0.8258, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7129, scimark_benchmark: 1237.8543, usercpu_time_millis: 322.254, usercpu_time_millis_testing: 26.287, usercpu_time_millis_training: 295.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9008, kappa: 0.7968, kb_relative_information_score: 29934.5383, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9008, predictive_accuracy: 0.9009, prior_entropy: 0.9835, recall: 0.9009, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5538, scimark_benchmark: 1236.4865, usercpu_time_millis: 335.875, usercpu_time_millis_testing: 13.081, usercpu_time_millis_training: 322.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8746, kappa: 0.7431, kb_relative_information_score: 27029.8065, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8746, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6147, scimark_benchmark: 1249.1011, usercpu_time_millis: 2791.883, usercpu_time_millis_testing: 109.418, usercpu_time_millis_training: 2682.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8287, kappa: 0.6478, kb_relative_information_score: 19715.5492, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8305, predictive_accuracy: 0.8302, prior_entropy: 0.9835, recall: 0.8302, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.72, scimark_benchmark: 1248.627, usercpu_time_millis: 67.376, usercpu_time_millis_testing: 5.505, usercpu_time_millis_training: 61.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8336, kappa: 0.6582, kb_relative_information_score: 22071.6594, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8344, predictive_accuracy: 0.8347, prior_entropy: 0.9835, recall: 0.8347, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6952, scimark_benchmark: 1242.5356, usercpu_time_millis: 1294.586, usercpu_time_millis_testing: 87.207, usercpu_time_millis_training: 1207.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8424, kappa: 0.6768, kb_relative_information_score: 24176.7237, mean_absolute_error: 0.2415, 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: 0.4942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.675, scimark_benchmark: 1250.0833, usercpu_time_millis: 131.788, usercpu_time_millis_testing: 5.5, usercpu_time_millis_training: 126.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.836, kappa: 0.6633, kb_relative_information_score: 22755.1887, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8364, predictive_accuracy: 0.8368, prior_entropy: 0.9835, recall: 0.8368, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895, scimark_benchmark: 1249.0102, usercpu_time_millis: 1552.597, usercpu_time_millis_testing: 114.87, usercpu_time_millis_training: 1437.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8039, kappa: 0.5963, kb_relative_information_score: 17002.9956, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8093, predictive_accuracy: 0.8071, prior_entropy: 0.9835, recall: 0.8071, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7623, scimark_benchmark: 1253.0805, usercpu_time_millis: 1325.802, usercpu_time_millis_testing: 104.226, usercpu_time_millis_training: 1221.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8475, kappa: 0.6871, kb_relative_information_score: 24639.4493, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8475, predictive_accuracy: 0.8479, prior_entropy: 0.9835, recall: 0.8479, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.664, scimark_benchmark: 1249.5185, usercpu_time_millis: 987.079, usercpu_time_millis_testing: 42.119, usercpu_time_millis_training: 944.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8669, kappa: 0.7273, kb_relative_information_score: 26793.1548, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8669, predictive_accuracy: 0.8671, prior_entropy: 0.9835, recall: 0.8671, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6256, scimark_benchmark: 1252.0638, usercpu_time_millis: 2047.783, usercpu_time_millis_testing: 52.799, usercpu_time_millis_training: 1994.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8283, kappa: 0.6479, kb_relative_information_score: 22724.6084, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8283, predictive_accuracy: 0.8288, prior_entropy: 0.9835, recall: 0.8288, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7023, scimark_benchmark: 1238.5161, usercpu_time_millis: 716.566, usercpu_time_millis_testing: 33.036, usercpu_time_millis_training: 683.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8106, kappa: 0.6101, kb_relative_information_score: 17581.8669, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8148, predictive_accuracy: 0.8132, prior_entropy: 0.9835, recall: 0.8132, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7535, scimark_benchmark: 1238.5863, usercpu_time_millis: 1214.17, usercpu_time_millis_testing: 91.15, usercpu_time_millis_training: 1123.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9193, kappa: 0.8348, kb_relative_information_score: 32558.5539, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9193, predictive_accuracy: 0.9194, prior_entropy: 0.9835, recall: 0.9194, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5038, scimark_benchmark: 1235.7418, usercpu_time_millis: 204.308, usercpu_time_millis_testing: 5.744, usercpu_time_millis_training: 198.564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8884, kappa: 0.7711, kb_relative_information_score: 27846.1159, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8884, predictive_accuracy: 0.8886, prior_entropy: 0.9835, recall: 0.8886, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5845, scimark_benchmark: 1245.4743, usercpu_time_millis: 312.231, usercpu_time_millis_testing: 18.553, usercpu_time_millis_training: 293.678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8222, kappa: 0.6346, kb_relative_information_score: 21193.0319, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.823, predictive_accuracy: 0.8233, prior_entropy: 0.9835, recall: 0.8233, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.717, scimark_benchmark: 1248.4862, usercpu_time_millis: 267.059, usercpu_time_millis_testing: 13.2, usercpu_time_millis_training: 253.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8385, kappa: 0.6687, kb_relative_information_score: 23581.0231, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.8389, prior_entropy: 0.9835, recall: 0.8389, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6842, scimark_benchmark: 1238.2048, usercpu_time_millis: 2323.872, usercpu_time_millis_testing: 87.434, usercpu_time_millis_training: 2236.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8314, kappa: 0.6533, kb_relative_information_score: 19847.271, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.833, predictive_accuracy: 0.8328, prior_entropy: 0.9835, recall: 0.8328, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7166, scimark_benchmark: 1250.0939, usercpu_time_millis: 303.178, usercpu_time_millis_testing: 23.605, usercpu_time_millis_training: 279.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8315, kappa: 0.6541, kb_relative_information_score: 22926.3322, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8316, predictive_accuracy: 0.8321, prior_entropy: 0.9835, recall: 0.8321, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6945, scimark_benchmark: 1250.1821, usercpu_time_millis: 663.297, usercpu_time_millis_testing: 38.02, usercpu_time_millis_training: 625.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.798, kappa: 0.5845, kb_relative_information_score: 20019.6817, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.7999, prior_entropy: 0.9835, recall: 0.7999, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7604, scimark_benchmark: 1310.5698, usercpu_time_millis: 7598.183, usercpu_time_millis_testing: 28, usercpu_time_millis_training: 7570.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.864, kappa: 0.7212, kb_relative_information_score: 26303.3906, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.864, predictive_accuracy: 0.8643, prior_entropy: 0.9835, recall: 0.8643, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6347, scimark_benchmark: 1255.8223, usercpu_time_millis: 4390.336, usercpu_time_millis_testing: 123.843, usercpu_time_millis_training: 4266.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9027, kappa: 0.801, kb_relative_information_score: 31678.9284, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9028, predictive_accuracy: 0.9027, prior_entropy: 0.9835, recall: 0.9027, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5464, scimark_benchmark: 1276.6277, usercpu_time_millis: 35.707, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 34.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8921, kappa: 0.7789, kb_relative_information_score: 28999.9282, mean_absolute_error: 0.1898, 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: 0.3885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5753, scimark_benchmark: 1278.7619, usercpu_time_millis: 475.239, usercpu_time_millis_testing: 12.928, usercpu_time_millis_training: 462.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7956, kappa: 0.5795, kb_relative_information_score: 20211.1624, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7979, predictive_accuracy: 0.7978, prior_entropy: 0.9835, recall: 0.7978, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7626, scimark_benchmark: 1297.9343, usercpu_time_millis: 10678.299, usercpu_time_millis_testing: 48.501, usercpu_time_millis_training: 10629.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 15894.8287, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1313.751, usercpu_time_millis: 5465.442, usercpu_time_millis_testing: 27.201, usercpu_time_millis_training: 5438.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8969, kappa: 0.7887, kb_relative_information_score: 29006.8386, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8969, predictive_accuracy: 0.8971, prior_entropy: 0.9835, recall: 0.8971, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5687, scimark_benchmark: 1261.3, usercpu_time_millis: 1183.751, usercpu_time_millis_testing: 41.315, usercpu_time_millis_training: 1142.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15906.0013, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1291.0637, usercpu_time_millis: 4540.497, usercpu_time_millis_testing: 24.762, usercpu_time_millis_training: 4515.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8277, kappa: 0.6456, kb_relative_information_score: 19392.925, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8296, predictive_accuracy: 0.8293, prior_entropy: 0.9835, recall: 0.8293, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7233, scimark_benchmark: 1280.5574, usercpu_time_millis: 1202.836, usercpu_time_millis_testing: 81.382, usercpu_time_millis_training: 1121.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8963, kappa: 0.7877, kb_relative_information_score: 29467.8051, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8963, predictive_accuracy: 0.8964, prior_entropy: 0.9835, recall: 0.8964, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5652, scimark_benchmark: 1254.9911, usercpu_time_millis: 1420.254, usercpu_time_millis_testing: 37.101, usercpu_time_millis_training: 1383.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8088, kappa: 0.6066, kb_relative_information_score: 19279.2578, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8122, predictive_accuracy: 0.8112, prior_entropy: 0.9835, recall: 0.8112, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7422, scimark_benchmark: 1252.3639, usercpu_time_millis: 617.207, usercpu_time_millis_testing: 39.136, usercpu_time_millis_training: 578.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 16066.5873, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8223, scimark_benchmark: 1280.023, usercpu_time_millis: 3799.822, usercpu_time_millis_testing: 27.412, usercpu_time_millis_training: 3772.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7007, kappa: 0.3839, kb_relative_information_score: 10805.5742, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7024, predictive_accuracy: 0.7049, prior_entropy: 0.9835, recall: 0.7049, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8764, kappa: 0.7467, kb_relative_information_score: 26855.4516, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9835, recall: 0.8766, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6117, scimark_benchmark: 1281.416, usercpu_time_millis: 418.344, usercpu_time_millis_testing: 25.324, usercpu_time_millis_training: 393.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7744, kappa: 0.5361, kb_relative_information_score: 16380.9187, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7875, predictive_accuracy: 0.7808, prior_entropy: 0.9835, recall: 0.7808, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7841, scimark_benchmark: 1283.3666, usercpu_time_millis: 628.421, usercpu_time_millis_testing: 52.16, usercpu_time_millis_training: 576.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8596, kappa: 0.712, kb_relative_information_score: 25404.7808, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8598, predictive_accuracy: 0.8601, prior_entropy: 0.9835, recall: 0.8601, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.639, scimark_benchmark: 1258.2785, usercpu_time_millis: 577.454, usercpu_time_millis_testing: 24.289, usercpu_time_millis_training: 553.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.7851, kappa: 0.5578, kb_relative_information_score: 17333.6381, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7947, predictive_accuracy: 0.7901, prior_entropy: 0.9835, recall: 0.7901, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7711, scimark_benchmark: 1267.095, usercpu_time_millis: 541.547, usercpu_time_millis_testing: 42.695, usercpu_time_millis_training: 498.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8602, kappa: 0.713, kb_relative_information_score: 22648.1081, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8605, predictive_accuracy: 0.8608, prior_entropy: 0.9835, recall: 0.8608, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6639, scimark_benchmark: 1282.7451, usercpu_time_millis: 562.27, usercpu_time_millis_testing: 38.036, usercpu_time_millis_training: 524.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9284, kappa: 0.8535, kb_relative_information_score: 34090.5128, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9284, predictive_accuracy: 0.9285, prior_entropy: 0.9835, recall: 0.9285, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4746, scimark_benchmark: 1276.9775, usercpu_time_millis: 460.442, usercpu_time_millis_testing: 11.988, usercpu_time_millis_training: 448.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8216, kappa: 0.6335, kb_relative_information_score: 21410.1059, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8219, predictive_accuracy: 0.8225, prior_entropy: 0.9835, recall: 0.8225, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7169, scimark_benchmark: 1265.22, usercpu_time_millis: 779.181, usercpu_time_millis_testing: 46.467, usercpu_time_millis_training: 732.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8859, kappa: 0.7662, kb_relative_information_score: 28341.8908, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8858, predictive_accuracy: 0.886, prior_entropy: 0.9835, recall: 0.886, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5893, scimark_benchmark: 1257.9578, usercpu_time_millis: 1821.88, usercpu_time_millis_testing: 55.201, usercpu_time_millis_training: 1766.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8205, kappa: 0.6317, kb_relative_information_score: 21824.9482, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8205, predictive_accuracy: 0.821, prior_entropy: 0.9835, recall: 0.821, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7181, scimark_benchmark: 1276.5755, usercpu_time_millis: 85.559, usercpu_time_millis_testing: 3.7, usercpu_time_millis_training: 81.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8684, kappa: 0.73, kb_relative_information_score: 23614.9841, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8687, predictive_accuracy: 0.8689, prior_entropy: 0.9835, recall: 0.8689, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6469, scimark_benchmark: 1263.1845, usercpu_time_millis: 320, usercpu_time_millis_testing: 21.689, usercpu_time_millis_training: 298.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8686, kappa: 0.7305, kb_relative_information_score: 26335.3708, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8686, predictive_accuracy: 0.8689, prior_entropy: 0.9835, recall: 0.8689, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6244, scimark_benchmark: 1268.5261, usercpu_time_millis: 1302.833, usercpu_time_millis_testing: 46.833, usercpu_time_millis_training: 1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8717, kappa: 0.7369, kb_relative_information_score: 26434.8683, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9835, recall: 0.872, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.62, scimark_benchmark: 1280.3509, usercpu_time_millis: 538.172, usercpu_time_millis_testing: 30.92, usercpu_time_millis_training: 507.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7573, kappa: 0.5004, kb_relative_information_score: 16054.2069, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1294.5698, usercpu_time_millis: 5198.506, usercpu_time_millis_testing: 27.188, usercpu_time_millis_training: 5171.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8356, kappa: 0.6631, kb_relative_information_score: 24068.9371, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8355, predictive_accuracy: 0.8358, prior_entropy: 0.9835, recall: 0.8358, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6862, scimark_benchmark: 1284.3907, usercpu_time_millis: 3520.428, usercpu_time_millis_testing: 103.509, usercpu_time_millis_training: 3416.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8828, kappa: 0.76, kb_relative_information_score: 27797.9995, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8828, predictive_accuracy: 0.8829, prior_entropy: 0.9835, recall: 0.8829, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5998, scimark_benchmark: 1269.9739, usercpu_time_millis: 976.926, usercpu_time_millis_testing: 27.534, usercpu_time_millis_training: 949.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8678, kappa: 0.7291, kb_relative_information_score: 26630.6039, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9835, recall: 0.868, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6265, scimark_benchmark: 1264.7011, usercpu_time_millis: 2979.525, usercpu_time_millis_testing: 78.984, usercpu_time_millis_training: 2900.541,

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