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: 0.9651, f_measure: 0.9021, kappa: 0.793, kb_relative_information_score: 1894.7121, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9085, predictive_accuracy: 0.9039, prior_entropy: 0.9674, recall: 0.9039, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6947, scimark_benchmark: 1239.0565, usercpu_time_millis: 28.949, usercpu_time_millis_testing: 2.776, usercpu_time_millis_training: 26.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8996, kappa: 0.7877, kb_relative_information_score: 1937.9187, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9051, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6891, scimark_benchmark: 1237.0416, usercpu_time_millis: 41.933, usercpu_time_millis_testing: 4.098, usercpu_time_millis_training: 37.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9465, kappa: 0.8876, kb_relative_information_score: 3391.4086, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.947, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4503, scimark_benchmark: 1240.9015, usercpu_time_millis: 51.772, usercpu_time_millis_testing: 3.723, usercpu_time_millis_training: 48.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9481, kappa: 0.8911, kb_relative_information_score: 3683.6356, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4137, scimark_benchmark: 1256.5016, usercpu_time_millis: 683.425, usercpu_time_millis_testing: 20.279, usercpu_time_millis_training: 663.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9276, kappa: 0.8476, kb_relative_information_score: 3016.5733, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5353, scimark_benchmark: 1249.6756, usercpu_time_millis: 118.971, usercpu_time_millis_testing: 5.333, usercpu_time_millis_training: 113.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9249, kappa: 0.8419, kb_relative_information_score: 2730.493, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9259, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5679, scimark_benchmark: 1245.9264, usercpu_time_millis: 131.514, usercpu_time_millis_testing: 6.822, usercpu_time_millis_training: 124.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.949, kappa: 0.8928, kb_relative_information_score: 3544.8534, mean_absolute_error: 0.1241, 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: 0.2598, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4264, scimark_benchmark: 1241.6984, usercpu_time_millis: 126.16, usercpu_time_millis_testing: 6.813, usercpu_time_millis_training: 119.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9358, kappa: 0.865, kb_relative_information_score: 3379.9645, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9363, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4777, scimark_benchmark: 1242.4393, usercpu_time_millis: 58.982, usercpu_time_millis_testing: 2.807, usercpu_time_millis_training: 56.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9422, kappa: 0.8786, kb_relative_information_score: 3558.2662, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9424, predictive_accuracy: 0.9424, prior_entropy: 0.9674, recall: 0.9424, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4425, scimark_benchmark: 1241.2366, usercpu_time_millis: 258.823, usercpu_time_millis_testing: 10.399, usercpu_time_millis_training: 248.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9276, kappa: 0.8477, kb_relative_information_score: 2755.6917, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5654, scimark_benchmark: 1238.7934, usercpu_time_millis: 74.078, usercpu_time_millis_testing: 6.644, usercpu_time_millis_training: 67.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9272, kappa: 0.8464, kb_relative_information_score: 2683.933, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9301, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5622, scimark_benchmark: 1227.9955, usercpu_time_millis: 149.837, usercpu_time_millis_testing: 13.459, usercpu_time_millis_training: 136.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9327, kappa: 0.8585, kb_relative_information_score: 2990.0174, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5267, scimark_benchmark: 1235.6965, usercpu_time_millis: 42.787, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 40.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9356, kappa: 0.8646, kb_relative_information_score: 3272.1269, mean_absolute_error: 0.1554, 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: 0.3253, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4838, scimark_benchmark: 1234.0241, usercpu_time_millis: 159.344, usercpu_time_millis_testing: 11.128, usercpu_time_millis_training: 148.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8665, kappa: 0.7172, kb_relative_information_score: 1648.8781, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8835, predictive_accuracy: 0.8711, prior_entropy: 0.9674, recall: 0.8711, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.741, scimark_benchmark: 1251.8043, usercpu_time_millis: 30.185, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 27.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9407, kappa: 0.8753, kb_relative_information_score: 3585.5754, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9674, recall: 0.9409, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4394, scimark_benchmark: 1248.3782, usercpu_time_millis: 104.339, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 100.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9371, kappa: 0.8679, kb_relative_information_score: 3430.1291, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9375, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4642, scimark_benchmark: 1244.9557, usercpu_time_millis: 193.397, usercpu_time_millis_testing: 10.575, usercpu_time_millis_training: 182.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9296, kappa: 0.8518, kb_relative_information_score: 3068.4483, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9304, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5269, scimark_benchmark: 1240.5866, usercpu_time_millis: 149.606, usercpu_time_millis_testing: 5.5, usercpu_time_millis_training: 144.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9265, kappa: 0.845, kb_relative_information_score: 2626.7533, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9274, prior_entropy: 0.9674, recall: 0.9274, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5727, scimark_benchmark: 1243.9145, usercpu_time_millis: 63.827, usercpu_time_millis_testing: 4.86, usercpu_time_millis_training: 58.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9451, kappa: 0.8848, kb_relative_information_score: 3648.5171, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9674, recall: 0.9452, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4395, scimark_benchmark: 1242.6425, usercpu_time_millis: 7.3, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 6.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9433, kappa: 0.8808, kb_relative_information_score: 3448.1524, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9436, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4497, scimark_benchmark: 1250.0835, usercpu_time_millis: 57.659, usercpu_time_millis_testing: 3.12, usercpu_time_millis_training: 54.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9349, kappa: 0.8631, kb_relative_information_score: 3320.7411, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9354, predictive_accuracy: 0.9352, prior_entropy: 0.9674, recall: 0.9352, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4872, scimark_benchmark: 1240.8154, usercpu_time_millis: 438.014, usercpu_time_millis_testing: 14.719, usercpu_time_millis_training: 423.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.949, kappa: 0.893, kb_relative_information_score: 3722.3463, mean_absolute_error: 0.101, 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: 0.2115, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4129, scimark_benchmark: 1241.4895, usercpu_time_millis: 644.202, usercpu_time_millis_testing: 12.094, usercpu_time_millis_training: 632.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9479, kappa: 0.8907, kb_relative_information_score: 3672.9771, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.9674, recall: 0.9481, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4213, scimark_benchmark: 1254.3854, usercpu_time_millis: 46.759, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 45.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9477, kappa: 0.8902, kb_relative_information_score: 3660.1665, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4228, scimark_benchmark: 1245.0812, usercpu_time_millis: 113.193, usercpu_time_millis_testing: 3.933, usercpu_time_millis_training: 109.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8986, kappa: 0.7877, kb_relative_information_score: 2298.9532, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8986, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.646, scimark_benchmark: 1250.3649, usercpu_time_millis: 4.675, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 4.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.945, kappa: 0.8846, kb_relative_information_score: 3430.602, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9453, predictive_accuracy: 0.9452, prior_entropy: 0.9674, recall: 0.9452, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4442, scimark_benchmark: 1229.9537, usercpu_time_millis: 187.045, usercpu_time_millis_testing: 10.615, usercpu_time_millis_training: 176.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9442, kappa: 0.8828, kb_relative_information_score: 3624.48, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4327, scimark_benchmark: 1227.6549, usercpu_time_millis: 235.316, usercpu_time_millis_testing: 6.471, usercpu_time_millis_training: 228.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9363, kappa: 0.8661, kb_relative_information_score: 3489.2636, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9366, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4607, scimark_benchmark: 1236.4366, usercpu_time_millis: 40.16, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 38.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9439, kappa: 0.8822, kb_relative_information_score: 3548.8137, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4347, scimark_benchmark: 1231.0718, usercpu_time_millis: 54.085, usercpu_time_millis_testing: 2.622, usercpu_time_millis_training: 51.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9328, kappa: 0.8586, kb_relative_information_score: 2915.2154, mean_absolute_error: 0.1988, 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: 0.4163, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5301, scimark_benchmark: 1214.1633, usercpu_time_millis: 101.612, usercpu_time_millis_testing: 10.215, usercpu_time_millis_training: 91.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4573, kb_relative_information_score: -0.3719, 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, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1233.4427, usercpu_time_millis: 9.535, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 8.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9488, kappa: 0.8924, kb_relative_information_score: 3600.3822, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.949, predictive_accuracy: 0.9489, prior_entropy: 0.9674, recall: 0.9489, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4223, scimark_benchmark: 1240.8134, usercpu_time_millis: 82.093, usercpu_time_millis_testing: 3.691, usercpu_time_millis_training: 78.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9433, kappa: 0.8808, kb_relative_information_score: 3565.4136, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9436, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4352, scimark_benchmark: 1228.9937, usercpu_time_millis: 100.284, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 95.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9301, kappa: 0.8529, kb_relative_information_score: 2896.5573, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9307, predictive_accuracy: 0.9305, prior_entropy: 0.9674, recall: 0.9305, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5443, scimark_benchmark: 1235.2678, usercpu_time_millis: 27.958, usercpu_time_millis_testing: 2.198, usercpu_time_millis_training: 25.76,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9036, kappa: 0.798, kb_relative_information_score: 2623.8543, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9036, predictive_accuracy: 0.9037, prior_entropy: 0.9674, recall: 0.9037, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6032, scimark_benchmark: 1228.3147, usercpu_time_millis: 103.035, usercpu_time_millis_testing: 4.475, usercpu_time_millis_training: 98.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.949, kappa: 0.893, kb_relative_information_score: 3711.7949, mean_absolute_error: 0.1026, 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: 0.2149, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4095, scimark_benchmark: 1237.3929, usercpu_time_millis: 532.411, usercpu_time_millis_testing: 14.52, usercpu_time_millis_training: 517.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9292, kappa: 0.8509, kb_relative_information_score: 2961.8241, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9299, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1230.4896, usercpu_time_millis: 156.02, usercpu_time_millis_testing: 8.774, usercpu_time_millis_training: 147.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9266, kappa: 0.8455, kb_relative_information_score: 2591.5585, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5852, scimark_benchmark: 1242.6902, usercpu_time_millis: 85.27, usercpu_time_millis_testing: 5.521, usercpu_time_millis_training: 79.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9441, kappa: 0.8827, kb_relative_information_score: 3457.0051, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4434, scimark_benchmark: 1224.647, usercpu_time_millis: 117.874, usercpu_time_millis_testing: 5.41, usercpu_time_millis_training: 112.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9428, kappa: 0.8799, kb_relative_information_score: 3585.3591, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4399, scimark_benchmark: 1229.9038, usercpu_time_millis: 169.012, usercpu_time_millis_testing: 3.713, usercpu_time_millis_training: 165.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9342, kappa: 0.8617, kb_relative_information_score: 3283.5006, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9348, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.486, scimark_benchmark: 1219.5072, usercpu_time_millis: 281.19, usercpu_time_millis_testing: 10.624, usercpu_time_millis_training: 270.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9373, kappa: 0.8683, kb_relative_information_score: 3188.1969, mean_absolute_error: 0.1659, 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: 0.3474, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.4919, scimark_benchmark: 1238.164, usercpu_time_millis: 162.034, usercpu_time_millis_testing: 10.194, usercpu_time_millis_training: 151.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9242, kappa: 0.8403, kb_relative_information_score: 2495.9355, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9256, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5994, scimark_benchmark: 1241.2731, usercpu_time_millis: 37.509, usercpu_time_millis_testing: 4.318, usercpu_time_millis_training: 33.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9435, kappa: 0.8813, kb_relative_information_score: 3501.6172, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9438, predictive_accuracy: 0.9437, prior_entropy: 0.9674, recall: 0.9437, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4411, scimark_benchmark: 1244.4413, usercpu_time_millis: 70.396, usercpu_time_millis_testing: 4.232, usercpu_time_millis_training: 66.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9111, kappa: 0.8135, kb_relative_information_score: 2748.6831, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9111, predictive_accuracy: 0.9113, prior_entropy: 0.9674, recall: 0.9113, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5821, scimark_benchmark: 1249.2599, usercpu_time_millis: 207.886, usercpu_time_millis_testing: 7.766, usercpu_time_millis_training: 200.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9501, kappa: 0.8954, kb_relative_information_score: 3761.6643, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4063, scimark_benchmark: 1236.6744, usercpu_time_millis: 665.918, usercpu_time_millis_testing: 15.538, usercpu_time_millis_training: 650.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9451, kappa: 0.8847, kb_relative_information_score: 3628.594, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9674, recall: 0.9452, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.431, scimark_benchmark: 1244.6923, usercpu_time_millis: 439.669, usercpu_time_millis_testing: 11.151, usercpu_time_millis_training: 428.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.926, kappa: 0.8443, kb_relative_information_score: 2920.8184, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5481, scimark_benchmark: 1246.6133, usercpu_time_millis: 277.229, usercpu_time_millis_testing: 8.443, usercpu_time_millis_training: 268.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9371, kappa: 0.8679, kb_relative_information_score: 3455.2381, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9375, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4592, scimark_benchmark: 1240.3594, usercpu_time_millis: 171.935, usercpu_time_millis_testing: 8.971, usercpu_time_millis_training: 162.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9203, kappa: 0.8318, kb_relative_information_score: 2475.6538, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9235, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5978, scimark_benchmark: 1239.0134, usercpu_time_millis: 120.765, usercpu_time_millis_testing: 11.392, usercpu_time_millis_training: 109.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9274, kappa: 0.8471, kb_relative_information_score: 2885.5285, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9282, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5502, scimark_benchmark: 1241.9463, usercpu_time_millis: 146.007, usercpu_time_millis_testing: 5.866, usercpu_time_millis_training: 140.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9248, kappa: 0.8412, kb_relative_information_score: 2636.806, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5709, scimark_benchmark: 1243.8152, usercpu_time_millis: 65.455, usercpu_time_millis_testing: 5.17, usercpu_time_millis_training: 60.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9342, kappa: 0.8617, kb_relative_information_score: 3302.7673, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9348, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4863, scimark_benchmark: 1240.2745, usercpu_time_millis: 291.406, usercpu_time_millis_testing: 9.875, usercpu_time_millis_training: 281.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.934, kappa: 0.8612, kb_relative_information_score: 3041.1224, mean_absolute_error: 0.1835, 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: 0.3842, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5139, scimark_benchmark: 1247.808, usercpu_time_millis: 136.758, usercpu_time_millis_testing: 7.94, usercpu_time_millis_training: 128.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9527, kappa: 0.9006, kb_relative_information_score: 3563.4863, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9529, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4181, scimark_benchmark: 1247.1185, usercpu_time_millis: 80.464, usercpu_time_millis_testing: 5.057, usercpu_time_millis_training: 75.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.922, kappa: 0.8359, kb_relative_information_score: 2670.121, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5811, scimark_benchmark: 1245.2854, usercpu_time_millis: 131.254, usercpu_time_millis_testing: 5.889, usercpu_time_millis_training: 125.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9408, kappa: 0.8757, kb_relative_information_score: 3510.1658, mean_absolute_error: 0.1265, 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: 0.2649, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4478, scimark_benchmark: 1251.4857, usercpu_time_millis: 33.154, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 31.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9477, kappa: 0.8903, kb_relative_information_score: 3704.215, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4123, scimark_benchmark: 1216.1055, usercpu_time_millis: 198.789, usercpu_time_millis_testing: 4.495, usercpu_time_millis_training: 194.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9437, kappa: 0.8817, kb_relative_information_score: 3437.5307, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4461, scimark_benchmark: 1240.2668, usercpu_time_millis: 69.938, usercpu_time_millis_testing: 3.871, usercpu_time_millis_training: 66.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9452, kappa: 0.885, kb_relative_information_score: 3563.3413, mean_absolute_error: 0.1207, 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: 0.2528, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4324, scimark_benchmark: 1241.8608, usercpu_time_millis: 253.22, usercpu_time_millis_testing: 10.54, usercpu_time_millis_training: 242.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9251, kappa: 0.8423, kb_relative_information_score: 2690.3967, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9262, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5714, scimark_benchmark: 1234.8618, usercpu_time_millis: 109.646, usercpu_time_millis_testing: 6.423, usercpu_time_millis_training: 103.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9336, kappa: 0.8604, kb_relative_information_score: 3298.732, mean_absolute_error: 0.1508, 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: 0.3158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4905, scimark_benchmark: 1244.3689, usercpu_time_millis: 158.065, usercpu_time_millis_testing: 6.472, usercpu_time_millis_training: 151.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9461, kappa: 0.8868, kb_relative_information_score: 3602.3589, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9464, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4318, scimark_benchmark: 1223.9453, usercpu_time_millis: 381.993, usercpu_time_millis_testing: 10.294, usercpu_time_millis_training: 371.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9446, kappa: 0.8836, kb_relative_information_score: 3500.202, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4399, scimark_benchmark: 1248.9899, usercpu_time_millis: 79.138, usercpu_time_millis_testing: 4.341, usercpu_time_millis_training: 74.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9465, kappa: 0.8876, kb_relative_information_score: 3396.8551, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.947, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4521, scimark_benchmark: 1221.9344, usercpu_time_millis: 12.822, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 11.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.942, kappa: 0.8781, kb_relative_information_score: 3488.6098, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9674, recall: 0.9422, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4483, scimark_benchmark: 1237.042, usercpu_time_millis: 14.156, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 13.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9371, kappa: 0.8679, kb_relative_information_score: 3446.6248, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9375, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4587, scimark_benchmark: 1245.9394, usercpu_time_millis: 168.497, usercpu_time_millis_testing: 9.339, usercpu_time_millis_training: 159.158,

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