Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9438, kappa: 0.871, kb_relative_information_score: 12544.3446, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9461, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4547, scimark_benchmark: 1259.3371, usercpu_time_millis: 3.589, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 3.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9333, kappa: 0.8457, kb_relative_information_score: 12184.2237, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4715, scimark_benchmark: 1267.8095, usercpu_time_millis: 31.386, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 30.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9442, kappa: 0.8715, kb_relative_information_score: 12489.5351, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4385, scimark_benchmark: 1277.7043, usercpu_time_millis: 112.734, usercpu_time_millis_testing: 6.462, usercpu_time_millis_training: 106.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.941, kappa: 0.8639, kb_relative_information_score: 10497.727, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9463, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4926, scimark_benchmark: 1275.3578, usercpu_time_millis: 50.011, usercpu_time_millis_testing: 3.183, usercpu_time_millis_training: 46.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9458, kappa: 0.8753, kb_relative_information_score: 12637.8595, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9494, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4299, scimark_benchmark: 1252.0123, usercpu_time_millis: 194.085, usercpu_time_millis_testing: 11.691, usercpu_time_millis_training: 182.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9479, kappa: 0.8802, kb_relative_information_score: 12737.1701, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9509, predictive_accuracy: 0.9489, prior_entropy: 0.9135, recall: 0.9489, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4233, scimark_benchmark: 1277.7339, usercpu_time_millis: 30.144, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 28.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12030.2923, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4848, scimark_benchmark: 1277.6764, usercpu_time_millis: 189.43, usercpu_time_millis_testing: 10.112, usercpu_time_millis_training: 179.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9431, kappa: 0.869, kb_relative_information_score: 12417.0462, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9472, predictive_accuracy: 0.9444, prior_entropy: 0.9135, recall: 0.9444, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4485, scimark_benchmark: 1255.1556, usercpu_time_millis: 78.512, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 74.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.94, kappa: 0.8615, kb_relative_information_score: 10410.0358, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9415, prior_entropy: 0.9135, recall: 0.9415, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4983, scimark_benchmark: 1268.8359, usercpu_time_millis: 257.489, usercpu_time_millis_testing: 17.919, usercpu_time_millis_training: 239.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.946, kappa: 0.8757, kb_relative_information_score: 12651.1502, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9495, predictive_accuracy: 0.9471, prior_entropy: 0.9135, recall: 0.9471, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4311, scimark_benchmark: 1265.484, usercpu_time_millis: 858.561, usercpu_time_millis_testing: 33.503, usercpu_time_millis_training: 825.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9328, kappa: 0.8446, kb_relative_information_score: 11572.3093, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4838, scimark_benchmark: 1267.7139, usercpu_time_millis: 87.801, usercpu_time_millis_testing: 5.643, usercpu_time_millis_training: 82.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9507, kappa: 0.8868, kb_relative_information_score: 12863.9448, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9533, predictive_accuracy: 0.9516, prior_entropy: 0.9135, recall: 0.9516, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4111, scimark_benchmark: 1240.9807, usercpu_time_millis: 592.073, usercpu_time_millis_testing: 26.841, usercpu_time_millis_training: 565.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9418, kappa: 0.8658, kb_relative_information_score: 12418.3471, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4535, scimark_benchmark: 1241.8342, usercpu_time_millis: 603.889, usercpu_time_millis_testing: 16.099, usercpu_time_millis_training: 587.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9497, kappa: 0.8844, kb_relative_information_score: 12804.8233, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9506, prior_entropy: 0.9135, recall: 0.9506, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4151, scimark_benchmark: 1262.9043, usercpu_time_millis: 401.457, usercpu_time_millis_testing: 21.616, usercpu_time_millis_training: 379.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9486, kappa: 0.8819, kb_relative_information_score: 12810.0954, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9513, predictive_accuracy: 0.9495, prior_entropy: 0.9135, recall: 0.9495, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.419, scimark_benchmark: 1238.1687, usercpu_time_millis: 511.096, usercpu_time_millis_testing: 17.503, usercpu_time_millis_training: 493.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9371, kappa: 0.8547, kb_relative_information_score: 12196.5762, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9435, predictive_accuracy: 0.9388, prior_entropy: 0.9135, recall: 0.9388, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4664, scimark_benchmark: 1249.4336, usercpu_time_millis: 212.592, usercpu_time_millis_testing: 11.722, usercpu_time_millis_training: 200.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9404, kappa: 0.8625, kb_relative_information_score: 12305.1584, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9459, predictive_accuracy: 0.9419, prior_entropy: 0.9135, recall: 0.9419, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4622, scimark_benchmark: 1232.0957, usercpu_time_millis: 32.22, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 31.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9347, kappa: 0.8492, kb_relative_information_score: 10169.6176, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9417, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5141, scimark_benchmark: 1235.2815, usercpu_time_millis: 147.086, usercpu_time_millis_testing: 11.453, usercpu_time_millis_training: 135.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9488, kappa: 0.8823, kb_relative_information_score: 12774.6429, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9518, predictive_accuracy: 0.9498, prior_entropy: 0.9135, recall: 0.9498, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4191, scimark_benchmark: 1248.529, usercpu_time_millis: 836.353, usercpu_time_millis_testing: 40.971, usercpu_time_millis_training: 795.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12118.7842, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4765, scimark_benchmark: 1234.578, usercpu_time_millis: 281.788, usercpu_time_millis_testing: 13.92, usercpu_time_millis_training: 267.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9519, kappa: 0.8897, kb_relative_information_score: 12982.4265, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.954, predictive_accuracy: 0.9527, prior_entropy: 0.9135, recall: 0.9527, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4063, scimark_benchmark: 1249.3034, usercpu_time_millis: 80.923, usercpu_time_millis_testing: 3.043, usercpu_time_millis_training: 77.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9413, kappa: 0.8646, kb_relative_information_score: 10500.0309, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9466, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4923, scimark_benchmark: 1261.9308, usercpu_time_millis: 391.56, usercpu_time_millis_testing: 28.921, usercpu_time_millis_training: 362.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9405, kappa: 0.8628, kb_relative_information_score: 12316.577, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.946, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4609, scimark_benchmark: 1239.206, usercpu_time_millis: 646.618, usercpu_time_millis_testing: 22.35, usercpu_time_millis_training: 624.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9424, kappa: 0.8673, kb_relative_information_score: 12491.3056, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9458, predictive_accuracy: 0.9435, prior_entropy: 0.9135, recall: 0.9435, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.453, scimark_benchmark: 1237.8714, usercpu_time_millis: 1333.772, usercpu_time_millis_testing: 37.303, usercpu_time_millis_training: 1296.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9351, kappa: 0.85, kb_relative_information_score: 10221.0709, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9419, predictive_accuracy: 0.937, prior_entropy: 0.9135, recall: 0.937, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5109, scimark_benchmark: 1248.0294, usercpu_time_millis: 353.407, usercpu_time_millis_testing: 26.321, usercpu_time_millis_training: 327.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9404, kappa: 0.8625, kb_relative_information_score: 10453.429, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9458, predictive_accuracy: 0.9419, prior_entropy: 0.9135, recall: 0.9419, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4953, scimark_benchmark: 1241.0693, usercpu_time_millis: 377.434, usercpu_time_millis_testing: 26.196, usercpu_time_millis_training: 351.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 9339.7394, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5564, scimark_benchmark: 1258.0526, usercpu_time_millis: 231.346, usercpu_time_millis_testing: 19.929, usercpu_time_millis_training: 211.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9328, kappa: 0.8447, kb_relative_information_score: 11856.1954, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4737, scimark_benchmark: 1247.5927, usercpu_time_millis: 181.415, usercpu_time_millis_testing: 11.318, usercpu_time_millis_training: 170.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9487, kappa: 0.8821, kb_relative_information_score: 12756.2227, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9518, predictive_accuracy: 0.9497, prior_entropy: 0.9135, recall: 0.9497, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4195, scimark_benchmark: 1254.8128, usercpu_time_millis: 247.97, usercpu_time_millis_testing: 12.831, usercpu_time_millis_training: 235.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9436, kappa: 0.8701, kb_relative_information_score: 12474.9756, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9476, predictive_accuracy: 0.9448, prior_entropy: 0.9135, recall: 0.9448, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4459, scimark_benchmark: 1261.4809, usercpu_time_millis: 658.858, usercpu_time_millis_testing: 30.179, usercpu_time_millis_training: 628.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9415, kappa: 0.8651, kb_relative_information_score: 12350.9108, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9466, predictive_accuracy: 0.9429, prior_entropy: 0.9135, recall: 0.9429, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4547, scimark_benchmark: 1270.7137, usercpu_time_millis: 375.586, usercpu_time_millis_testing: 17.492, usercpu_time_millis_training: 358.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9399, kappa: 0.8613, kb_relative_information_score: 10416.3717, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9453, predictive_accuracy: 0.9414, prior_entropy: 0.9135, recall: 0.9414, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4974, scimark_benchmark: 1246.8825, usercpu_time_millis: 220.336, usercpu_time_millis_testing: 17.466, usercpu_time_millis_training: 202.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9501, kappa: 0.8854, kb_relative_information_score: 12853.3245, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9528, predictive_accuracy: 0.951, prior_entropy: 0.9135, recall: 0.951, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4145, scimark_benchmark: 1263.2791, usercpu_time_millis: 451.17, usercpu_time_millis_testing: 21.043, usercpu_time_millis_training: 430.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9325, kappa: 0.8439, kb_relative_information_score: 11906.2356, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4993, scimark_benchmark: 1230.0594, usercpu_time_millis: 313.347, usercpu_time_millis_testing: 20.706, usercpu_time_millis_training: 292.641,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9423, kappa: 0.8671, kb_relative_information_score: 12442.013, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9468, predictive_accuracy: 0.9436, prior_entropy: 0.9135, recall: 0.9436, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4512, scimark_benchmark: 1254.1706, usercpu_time_millis: 570.185, usercpu_time_millis_testing: 21.07, usercpu_time_millis_training: 549.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9496, kappa: 0.8842, kb_relative_information_score: 12844.388, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9522, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4169, scimark_benchmark: 1240.5941, usercpu_time_millis: 1253.262, usercpu_time_millis_testing: 31.225, usercpu_time_millis_training: 1222.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9401, kappa: 0.8617, kb_relative_information_score: 12305.0392, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9416, prior_entropy: 0.9135, recall: 0.9416, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4621, scimark_benchmark: 1236.4221, usercpu_time_millis: 254.949, usercpu_time_millis_testing: 7.562, usercpu_time_millis_training: 247.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9484, kappa: 0.8813, kb_relative_information_score: 12832.7758, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9513, predictive_accuracy: 0.9493, prior_entropy: 0.9135, recall: 0.9493, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4189, scimark_benchmark: 1232.6213, usercpu_time_millis: 28.883, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 27.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9406, kappa: 0.863, kb_relative_information_score: 12312.8945, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.946, predictive_accuracy: 0.9421, prior_entropy: 0.9135, recall: 0.9421, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4615, scimark_benchmark: 1230.7752, usercpu_time_millis: 520.489, usercpu_time_millis_testing: 16.89, usercpu_time_millis_training: 503.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9408, kappa: 0.8635, kb_relative_information_score: 10551.6829, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9462, predictive_accuracy: 0.9423, prior_entropy: 0.9135, recall: 0.9423, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4897, scimark_benchmark: 1264.5428, usercpu_time_millis: 316.949, usercpu_time_millis_testing: 23.108, usercpu_time_millis_training: 293.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9402, kappa: 0.8621, kb_relative_information_score: 12310.3005, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9417, prior_entropy: 0.9135, recall: 0.9417, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4578, scimark_benchmark: 1253.9935, usercpu_time_millis: 571.032, usercpu_time_millis_testing: 28.14, usercpu_time_millis_training: 542.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9534, kappa: 0.8932, kb_relative_information_score: 13017.7513, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9554, predictive_accuracy: 0.9541, prior_entropy: 0.9135, recall: 0.9541, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4037, scimark_benchmark: 1263.7167, usercpu_time_millis: 1087.275, usercpu_time_millis_testing: 30.288, usercpu_time_millis_training: 1056.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.933, kappa: 0.8451, kb_relative_information_score: 9866.7501, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.531, scimark_benchmark: 1237.5206, usercpu_time_millis: 236.99, usercpu_time_millis_testing: 19.977, usercpu_time_millis_training: 217.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9527, kappa: 0.8914, kb_relative_information_score: 12969.7868, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.955, predictive_accuracy: 0.9534, prior_entropy: 0.9135, recall: 0.9534, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4059, scimark_benchmark: 1268.0254, usercpu_time_millis: 356.779, usercpu_time_millis_testing: 17.327, usercpu_time_millis_training: 339.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9324, kappa: 0.8437, kb_relative_information_score: 9253.4562, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9345, prior_entropy: 0.9135, recall: 0.9345, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.561, scimark_benchmark: 1236.5758, usercpu_time_millis: 229.973, usercpu_time_millis_testing: 18.685, usercpu_time_millis_training: 211.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9493, kappa: 0.8834, kb_relative_information_score: 12794.4297, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9522, predictive_accuracy: 0.9502, prior_entropy: 0.9135, recall: 0.9502, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4176, scimark_benchmark: 1256.0371, usercpu_time_millis: 636.571, usercpu_time_millis_testing: 26.36, usercpu_time_millis_training: 610.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9324, kappa: 0.8435, kb_relative_information_score: 11846.8395, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4958, scimark_benchmark: 1247.2543, usercpu_time_millis: 56.142, usercpu_time_millis_testing: 3.461, usercpu_time_millis_training: 52.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12071.8961, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4808, scimark_benchmark: 1232.546, usercpu_time_millis: 459.602, usercpu_time_millis_testing: 25.8, usercpu_time_millis_training: 433.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9495, kappa: 0.884, kb_relative_information_score: 12780.1368, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4172, scimark_benchmark: 1271.6005, usercpu_time_millis: 506.978, usercpu_time_millis_testing: 23.853, usercpu_time_millis_training: 483.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9327, kappa: 0.8443, kb_relative_information_score: 12152.8829, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4737, scimark_benchmark: 1239.7556, usercpu_time_millis: 242.659, usercpu_time_millis_testing: 11.775, usercpu_time_millis_training: 230.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9526, kappa: 0.8912, kb_relative_information_score: 12954.574, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9548, predictive_accuracy: 0.9534, prior_entropy: 0.9135, recall: 0.9534, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4064, scimark_benchmark: 1270.2897, usercpu_time_millis: 568.016, usercpu_time_millis_testing: 29.914, usercpu_time_millis_training: 538.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9437, kappa: 0.8702, kb_relative_information_score: 12528.826, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9477, predictive_accuracy: 0.9449, prior_entropy: 0.9135, recall: 0.9449, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4356, scimark_benchmark: 1248.8741, usercpu_time_millis: 174.966, usercpu_time_millis_testing: 8.138, usercpu_time_millis_training: 166.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9493, kappa: 0.8834, kb_relative_information_score: 12845.432, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.952, predictive_accuracy: 0.9501, prior_entropy: 0.9135, recall: 0.9501, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.417, scimark_benchmark: 1240.1576, usercpu_time_millis: 168.925, usercpu_time_millis_testing: 5.755, usercpu_time_millis_training: 163.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9533, kappa: 0.893, kb_relative_information_score: 12979.8751, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9555, predictive_accuracy: 0.9541, prior_entropy: 0.9135, recall: 0.9541, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4047, scimark_benchmark: 1263.2735, usercpu_time_millis: 427.73, usercpu_time_millis_testing: 22.624, usercpu_time_millis_training: 405.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.932, kappa: 0.8428, kb_relative_information_score: 9100.4621, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5689, scimark_benchmark: 1269.4916, usercpu_time_millis: 31.676, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 29.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9468, kappa: 0.8776, kb_relative_information_score: 12736.1711, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9498, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4282, scimark_benchmark: 1242.8234, usercpu_time_millis: 1041.94, usercpu_time_millis_testing: 30.498, usercpu_time_millis_training: 1011.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9488, kappa: 0.8824, kb_relative_information_score: 12788.0427, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9518, predictive_accuracy: 0.9498, prior_entropy: 0.9135, recall: 0.9498, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4187, scimark_benchmark: 1273.1218, usercpu_time_millis: 663.11, usercpu_time_millis_testing: 27.344, usercpu_time_millis_training: 635.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9504, kappa: 0.8861, kb_relative_information_score: 12838.733, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9532, predictive_accuracy: 0.9513, prior_entropy: 0.9135, recall: 0.9513, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.194, root_relative_squared_error: 0.413, scimark_benchmark: 1251.2392, usercpu_time_millis: 620.283, usercpu_time_millis_testing: 26.131, usercpu_time_millis_training: 594.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9511, kappa: 0.8876, kb_relative_information_score: 12885.3254, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9536, predictive_accuracy: 0.9519, prior_entropy: 0.9135, recall: 0.9519, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4113, scimark_benchmark: 1256.8333, usercpu_time_millis: 1083.65, usercpu_time_millis_testing: 40.384, usercpu_time_millis_training: 1043.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.94, kappa: 0.8615, kb_relative_information_score: 12290.0464, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9415, prior_entropy: 0.9135, recall: 0.9415, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4597, scimark_benchmark: 1265.8234, usercpu_time_millis: 364.854, usercpu_time_millis_testing: 15.905, usercpu_time_millis_training: 348.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9477, kappa: 0.8797, kb_relative_information_score: 12763.1299, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9505, predictive_accuracy: 0.9486, prior_entropy: 0.9135, recall: 0.9486, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4277, scimark_benchmark: 1267.1736, usercpu_time_millis: 275.492, usercpu_time_millis_testing: 6.61, usercpu_time_millis_training: 268.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9328, kappa: 0.8445, kb_relative_information_score: 12145.624, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4743, scimark_benchmark: 1223.0198, usercpu_time_millis: 17.652, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 16.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9398, kappa: 0.861, kb_relative_information_score: 12263.6119, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9455, predictive_accuracy: 0.9413, prior_entropy: 0.9135, recall: 0.9413, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4616, scimark_benchmark: 1242.8412, usercpu_time_millis: 569.038, usercpu_time_millis_testing: 30.082, usercpu_time_millis_training: 538.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9471, kappa: 0.8783, kb_relative_information_score: 12692.2592, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9505, predictive_accuracy: 0.9482, prior_entropy: 0.9135, recall: 0.9482, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4234, scimark_benchmark: 1249.1104, usercpu_time_millis: 439.288, usercpu_time_millis_testing: 20.933, usercpu_time_millis_training: 418.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9467, kappa: 0.8774, kb_relative_information_score: 12640.1996, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9501, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4271, scimark_benchmark: 1263.1421, usercpu_time_millis: 118.362, usercpu_time_millis_testing: 8.193, usercpu_time_millis_training: 110.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9493, kappa: 0.8834, kb_relative_information_score: 12826.0155, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9519, predictive_accuracy: 0.9501, prior_entropy: 0.9135, recall: 0.9501, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4187, scimark_benchmark: 1240.6104, usercpu_time_millis: 111.787, usercpu_time_millis_testing: 2.932, usercpu_time_millis_training: 108.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9328, kappa: 0.8447, kb_relative_information_score: 9509.2718, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5483, scimark_benchmark: 1260.7279, usercpu_time_millis: 228.654, usercpu_time_millis_testing: 20.04, usercpu_time_millis_training: 208.614,

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