OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9074, kappa: 0.8055, kb_relative_information_score: 2458.1248, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9074, predictive_accuracy: 0.9076, prior_entropy: 0.9674, recall: 0.9076, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6181, scimark_benchmark: 1276.1274, usercpu_time_millis: 62.089, usercpu_time_millis_testing: 3.076, usercpu_time_millis_training: 59.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9328, kappa: 0.8586, kb_relative_information_score: 2767.8957, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5515, scimark_benchmark: 1274.9518, usercpu_time_millis: 130.277, usercpu_time_millis_testing: 10.934, usercpu_time_millis_training: 119.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9501, kappa: 0.8951, kb_relative_information_score: 3548.9235, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9503, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4235, scimark_benchmark: 1270.6259, usercpu_time_millis: 136.291, usercpu_time_millis_testing: 7.418, usercpu_time_millis_training: 128.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9147, kappa: 0.8199, kb_relative_information_score: 2167.3356, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9174, predictive_accuracy: 0.9157, prior_entropy: 0.9674, recall: 0.9157, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6522, scimark_benchmark: 1268.8428, usercpu_time_millis: 20.899, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 19.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9488, kappa: 0.8925, kb_relative_information_score: 3668.7606, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9674, recall: 0.9489, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4152, scimark_benchmark: 1255.4402, usercpu_time_millis: 413.679, usercpu_time_millis_testing: 13.005, usercpu_time_millis_training: 400.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9375, kappa: 0.8687, kb_relative_information_score: 3075.1854, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.938, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.503, scimark_benchmark: 1278.761, usercpu_time_millis: 72.964, usercpu_time_millis_testing: 4.883, usercpu_time_millis_training: 68.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.934, kappa: 0.8612, kb_relative_information_score: 3124.1431, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5023, scimark_benchmark: 1273.6579, usercpu_time_millis: 154.364, usercpu_time_millis_testing: 7.091, usercpu_time_millis_training: 147.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.934, kappa: 0.8613, kb_relative_information_score: 3079.2255, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9345, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5142, scimark_benchmark: 1267.4568, usercpu_time_millis: 93.381, usercpu_time_millis_testing: 5.469, usercpu_time_millis_training: 87.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.932, kappa: 0.857, kb_relative_information_score: 3146.9815, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5101, scimark_benchmark: 1274.7427, usercpu_time_millis: 96.727, usercpu_time_millis_testing: 2.834, usercpu_time_millis_training: 93.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9167, kappa: 0.824, kb_relative_information_score: 2413.8253, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9206, predictive_accuracy: 0.9178, prior_entropy: 0.9674, recall: 0.9178, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6088, scimark_benchmark: 1261.1648, usercpu_time_millis: 60.051, usercpu_time_millis_testing: 6.553, usercpu_time_millis_training: 53.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9354, kappa: 0.8642, kb_relative_information_score: 3357.6042, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9357, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.474, scimark_benchmark: 1244.9064, usercpu_time_millis: 81.443, usercpu_time_millis_testing: 5.573, usercpu_time_millis_training: 75.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.932, kappa: 0.857, kb_relative_information_score: 3128.243, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5133, scimark_benchmark: 1248.8945, usercpu_time_millis: 303.419, usercpu_time_millis_testing: 9.992, usercpu_time_millis_training: 293.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.932, kappa: 0.8568, kb_relative_information_score: 2914.5399, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9329, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5301, scimark_benchmark: 1281.2656, usercpu_time_millis: 47.817, usercpu_time_millis_testing: 4.141, usercpu_time_millis_training: 43.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9402, kappa: 0.8743, kb_relative_information_score: 3319.257, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 0.9674, recall: 0.9404, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.4659, scimark_benchmark: 1259.0038, usercpu_time_millis: 53.138, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 49.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9356, kappa: 0.8646, kb_relative_information_score: 3437.2172, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.4669, scimark_benchmark: 1261.5459, usercpu_time_millis: 116.868, usercpu_time_millis_testing: 5.38, usercpu_time_millis_training: 111.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: -1.2793, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1263.2346, usercpu_time_millis: 15.827, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 14.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9344, kappa: 0.862, kb_relative_information_score: 2973.7899, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5228, scimark_benchmark: 1280.8404, usercpu_time_millis: 138.727, usercpu_time_millis_testing: 7.897, usercpu_time_millis_training: 130.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.919, kappa: 0.8294, kb_relative_information_score: 2391.5396, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6193, scimark_benchmark: 1268.1397, usercpu_time_millis: 11.815, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 10.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9488, kappa: 0.8926, kb_relative_information_score: 3731.8186, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9674, recall: 0.9489, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4109, scimark_benchmark: 1278.0252, usercpu_time_millis: 741.691, usercpu_time_millis_testing: 13.754, usercpu_time_millis_training: 727.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9333, kappa: 0.8596, kb_relative_information_score: 2832.1603, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5438, scimark_benchmark: 1256.071, usercpu_time_millis: 38.968, usercpu_time_millis_testing: 2.632, usercpu_time_millis_training: 36.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 3579.2974, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4409, scimark_benchmark: 1281.2297, usercpu_time_millis: 352.248, usercpu_time_millis_testing: 10.459, usercpu_time_millis_training: 341.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9503, kappa: 0.8956, kb_relative_information_score: 3575.7308, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9674, recall: 0.9504, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4221, scimark_benchmark: 1260.3582, usercpu_time_millis: 283.728, usercpu_time_millis_testing: 13.943, usercpu_time_millis_training: 269.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.933, kappa: 0.8591, kb_relative_information_score: 3316.6866, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4849, scimark_benchmark: 1288.2435, usercpu_time_millis: 181.553, usercpu_time_millis_testing: 11.542, usercpu_time_millis_training: 170.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9373, kappa: 0.8682, kb_relative_information_score: 3269.8223, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9378, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4793, scimark_benchmark: 1249.3822, usercpu_time_millis: 98.424, usercpu_time_millis_testing: 4.377, usercpu_time_millis_training: 94.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9408, kappa: 0.8754, kb_relative_information_score: 3170.7286, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9415, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4855, scimark_benchmark: 1276.9092, usercpu_time_millis: 38.108, usercpu_time_millis_testing: 3.015, usercpu_time_millis_training: 35.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9038, kappa: 0.7977, kb_relative_information_score: 2254.0448, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9043, predictive_accuracy: 0.9044, prior_entropy: 0.9674, recall: 0.9044, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6485, scimark_benchmark: 1258.5343, usercpu_time_millis: 84.398, usercpu_time_millis_testing: 4.911, usercpu_time_millis_training: 79.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9351, kappa: 0.8636, kb_relative_information_score: 3310.6312, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9356, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.236, root_relative_squared_error: 0.483, scimark_benchmark: 1235.7129, usercpu_time_millis: 40.602, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 38.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.949, kappa: 0.8929, kb_relative_information_score: 3600.5016, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9492, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4197, scimark_benchmark: 1272.8846, usercpu_time_millis: 204.16, usercpu_time_millis_testing: 10.38, usercpu_time_millis_training: 193.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9307, kappa: 0.8542, kb_relative_information_score: 2985.8595, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9314, predictive_accuracy: 0.9311, prior_entropy: 0.9674, recall: 0.9311, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5279, scimark_benchmark: 1277.5181, usercpu_time_millis: 3.458, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 3.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.934, kappa: 0.8611, kb_relative_information_score: 3262.9449, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4928, scimark_benchmark: 1268.8844, usercpu_time_millis: 108.59, usercpu_time_millis_testing: 3.711, usercpu_time_millis_training: 104.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9494, kappa: 0.8937, kb_relative_information_score: 3475.6401, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4353, scimark_benchmark: 1264.3765, usercpu_time_millis: 32.629, usercpu_time_millis_testing: 2.721, usercpu_time_millis_training: 29.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9426, kappa: 0.8794, kb_relative_information_score: 3541.455, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.943, predictive_accuracy: 0.9428, prior_entropy: 0.9674, recall: 0.9428, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4428, scimark_benchmark: 1261.8862, usercpu_time_millis: 80.489, usercpu_time_millis_testing: 3.688, usercpu_time_millis_training: 76.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9313, kappa: 0.8555, kb_relative_information_score: 3129.5185, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9321, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5128, scimark_benchmark: 1276.6222, usercpu_time_millis: 291.83, usercpu_time_millis_testing: 9.232, usercpu_time_millis_training: 282.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9336, kappa: 0.8604, kb_relative_information_score: 3376.8526, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4769, scimark_benchmark: 1254.0232, usercpu_time_millis: 118.948, usercpu_time_millis_testing: 6.382, usercpu_time_millis_training: 112.566,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9329, kappa: 0.8589, kb_relative_information_score: 3286.6672, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4931, scimark_benchmark: 1260.6361, usercpu_time_millis: 208.733, usercpu_time_millis_testing: 4.945, usercpu_time_millis_training: 203.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9408, kappa: 0.8756, kb_relative_information_score: 3405.8487, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9413, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4579, scimark_benchmark: 1276.3919, usercpu_time_millis: 19.789, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 18.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9514, kappa: 0.8981, kb_relative_information_score: 3749.3488, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.9674, recall: 0.9515, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4018, scimark_benchmark: 1283.1829, usercpu_time_millis: 779.83, usercpu_time_millis_testing: 20.675, usercpu_time_millis_training: 759.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9254, kappa: 0.8426, kb_relative_information_score: 2627.4036, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5728, scimark_benchmark: 1276.6099, usercpu_time_millis: 40.373, usercpu_time_millis_testing: 3.369, usercpu_time_millis_training: 37.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3046.3618, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5177, scimark_benchmark: 1274.4077, usercpu_time_millis: 20.181, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 19.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.934, kappa: 0.8612, kb_relative_information_score: 3327.7672, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4837, scimark_benchmark: 1254.6656, usercpu_time_millis: 281.268, usercpu_time_millis_testing: 7.992, usercpu_time_millis_training: 273.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9265, kappa: 0.8452, kb_relative_information_score: 2987.6621, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9274, predictive_accuracy: 0.927, prior_entropy: 0.9674, recall: 0.927, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5363, scimark_benchmark: 1275.0933, usercpu_time_millis: 54.158, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 52.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9316, kappa: 0.8561, kb_relative_information_score: 2913.8532, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9322, predictive_accuracy: 0.932, prior_entropy: 0.9674, recall: 0.932, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5361, scimark_benchmark: 1248.3449, usercpu_time_millis: 25.956, usercpu_time_millis_testing: 1.913, usercpu_time_millis_training: 24.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.949, kappa: 0.8929, kb_relative_information_score: 3658.8855, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9491, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4165, scimark_benchmark: 1268.5341, usercpu_time_millis: 365.243, usercpu_time_millis_testing: 13.644, usercpu_time_millis_training: 351.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9468, kappa: 0.8882, kb_relative_information_score: 3540.8551, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4327, scimark_benchmark: 1249.6161, usercpu_time_millis: 352.993, usercpu_time_millis_testing: 14.185, usercpu_time_millis_training: 338.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9507, kappa: 0.8966, kb_relative_information_score: 3682.6673, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4106, scimark_benchmark: 1242.5106, usercpu_time_millis: 135.879, usercpu_time_millis_testing: 3.781, usercpu_time_millis_training: 132.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9235, kappa: 0.8387, kb_relative_information_score: 2379.7742, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9251, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6152, scimark_benchmark: 1245.7597, usercpu_time_millis: 87.274, usercpu_time_millis_testing: 8.502, usercpu_time_millis_training: 78.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.936, kappa: 0.8654, kb_relative_information_score: 3291.4971, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9365, predictive_accuracy: 0.9363, prior_entropy: 0.9674, recall: 0.9363, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4827, scimark_benchmark: 1242.7388, usercpu_time_millis: 14.282, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 13.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9452, kappa: 0.885, kb_relative_information_score: 3583.1332, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4331, scimark_benchmark: 1247.1544, usercpu_time_millis: 444.27, usercpu_time_millis_testing: 13.18, usercpu_time_millis_training: 431.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9492, kappa: 0.8934, kb_relative_information_score: 3634.4873, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.418, scimark_benchmark: 1253.1435, usercpu_time_millis: 311.124, usercpu_time_millis_testing: 11.475, usercpu_time_millis_training: 299.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9318, kappa: 0.8566, kb_relative_information_score: 2991.2449, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9324, predictive_accuracy: 0.9322, prior_entropy: 0.9674, recall: 0.9322, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263, scimark_benchmark: 1238.5786, usercpu_time_millis: 112.603, usercpu_time_millis_testing: 6.237, usercpu_time_millis_training: 106.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9408, kappa: 0.8755, kb_relative_information_score: 3212.1712, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4771, scimark_benchmark: 1250.527, usercpu_time_millis: 54.245, usercpu_time_millis_testing: 4.24, usercpu_time_millis_training: 50.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9466, kappa: 0.8879, kb_relative_information_score: 3673.2953, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4218, scimark_benchmark: 1266.3977, usercpu_time_millis: 768.185, usercpu_time_millis_testing: 16.982, usercpu_time_millis_training: 751.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9369, kappa: 0.8673, kb_relative_information_score: 3377.2373, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4713, scimark_benchmark: 1273.5743, usercpu_time_millis: 166.036, usercpu_time_millis_testing: 6.169, usercpu_time_millis_training: 159.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9285, kappa: 0.8496, kb_relative_information_score: 3089.5532, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9292, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5223, scimark_benchmark: 1251.2371, usercpu_time_millis: 164.796, usercpu_time_millis_testing: 7.962, usercpu_time_millis_training: 156.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.927, kappa: 0.846, kb_relative_information_score: 2649.7837, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9298, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5684, scimark_benchmark: 1270.1944, usercpu_time_millis: 165.155, usercpu_time_millis_testing: 12.063, usercpu_time_millis_training: 153.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9459, kappa: 0.8864, kb_relative_information_score: 3450.5498, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9462, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.216, root_relative_squared_error: 0.442, scimark_benchmark: 1282.4932, usercpu_time_millis: 177.954, usercpu_time_millis_testing: 12.838, usercpu_time_millis_training: 165.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9409, kappa: 0.8757, kb_relative_information_score: 3331.6011, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4639, scimark_benchmark: 1254.4716, usercpu_time_millis: 232.936, usercpu_time_millis_testing: 12.108, usercpu_time_millis_training: 220.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.947, kappa: 0.8888, kb_relative_information_score: 3495.3371, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4346, scimark_benchmark: 1250.1747, usercpu_time_millis: 228.359, usercpu_time_millis_testing: 11.108, usercpu_time_millis_training: 217.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9483, kappa: 0.8913, kb_relative_information_score: 3472.2258, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.9674, recall: 0.9485, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4339, scimark_benchmark: 1275.1531, usercpu_time_millis: 76.863, usercpu_time_millis_testing: 5.242, usercpu_time_millis_training: 71.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9463, kappa: 0.8872, kb_relative_information_score: 3409.5155, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4457, scimark_benchmark: 1275.2333, usercpu_time_millis: 161.768, usercpu_time_millis_testing: 10.743, usercpu_time_millis_training: 151.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9523, kappa: 0.8998, kb_relative_information_score: 3636.9353, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9674, recall: 0.9524, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4109, scimark_benchmark: 1282.9912, usercpu_time_millis: 176.499, usercpu_time_millis_testing: 7.875, usercpu_time_millis_training: 168.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9391, kappa: 0.8719, kb_relative_information_score: 3299.0653, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4697, scimark_benchmark: 1263.6522, usercpu_time_millis: 86.422, usercpu_time_millis_testing: 4.21, usercpu_time_millis_training: 82.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9329, kappa: 0.859, kb_relative_information_score: 3345.5686, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4852, scimark_benchmark: 1273.7953, usercpu_time_millis: 171.205, usercpu_time_millis_testing: 9.24, usercpu_time_millis_training: 161.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9344, kappa: 0.8621, kb_relative_information_score: 3289.317, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4866, scimark_benchmark: 1277.4359, usercpu_time_millis: 237.366, usercpu_time_millis_testing: 8.341, usercpu_time_millis_training: 229.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9281, kappa: 0.8488, kb_relative_information_score: 3034.2845, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9287, predictive_accuracy: 0.9285, prior_entropy: 0.9674, recall: 0.9285, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5321, scimark_benchmark: 1271.6605, usercpu_time_millis: 183.531, usercpu_time_millis_testing: 7.782, usercpu_time_millis_training: 175.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9509, kappa: 0.897, kb_relative_information_score: 3584.2836, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4188, scimark_benchmark: 1267.5082, usercpu_time_millis: 60.431, usercpu_time_millis_testing: 2.838, usercpu_time_millis_training: 57.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3281.1102, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4815, scimark_benchmark: 1258.0395, usercpu_time_millis: 319.806, usercpu_time_millis_testing: 12.19, usercpu_time_millis_training: 307.616,

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