OpenML
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: 0.943, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 9051.6931, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5758, scimark_benchmark: 1732.4272, usercpu_time_millis: 15.819, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 14.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8195, kappa: 0.5784, kb_relative_information_score: 4352.3245, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8689, predictive_accuracy: 0.8374, prior_entropy: 0.9135, recall: 0.8374, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.8024, scimark_benchmark: 1735.1328, usercpu_time_millis: 7.784, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 6.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.932, kappa: 0.8428, kb_relative_information_score: 8322.8226, mean_absolute_error: 0.2358, 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: 0.5343, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.606, scimark_benchmark: 1729.6688, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 4.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9328, kappa: 0.8447, kb_relative_information_score: 11458.2664, mean_absolute_error: 0.1291, 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: 0.2925, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4887, scimark_benchmark: 1728.4118, usercpu_time_millis: 3.849, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 3.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9492, kappa: 0.8833, kb_relative_information_score: 12812.9871, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9521, predictive_accuracy: 0.9501, prior_entropy: 0.9135, recall: 0.9501, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4174, scimark_benchmark: 1851.3986, usercpu_time_millis: 97.24, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 93.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9404, kappa: 0.8625, kb_relative_information_score: 12348.2716, mean_absolute_error: 0.0976, 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: 0.2211, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4578, scimark_benchmark: 1852.3877, usercpu_time_millis: 50.172, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 48.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.941, kappa: 0.8638, kb_relative_information_score: 10498.4559, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9462, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4918, scimark_benchmark: 1842.8383, usercpu_time_millis: 39.171, usercpu_time_millis_testing: 2.798, usercpu_time_millis_training: 36.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9502, kappa: 0.8856, kb_relative_information_score: 12866.2967, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9527, predictive_accuracy: 0.951, prior_entropy: 0.9135, recall: 0.951, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4135, scimark_benchmark: 1846.9558, usercpu_time_millis: 19.352, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 18.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: -0.1807, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1842.1882, usercpu_time_millis: 17.876, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 15.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8437, kappa: 0.6347, kb_relative_information_score: 4609.3265, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8818, predictive_accuracy: 0.8567, prior_entropy: 0.9135, recall: 0.8567, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7899, scimark_benchmark: 1843.7454, usercpu_time_millis: 8.445, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 7.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: -2.0037, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1841.8034, usercpu_time_millis: 2.846, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9324, kappa: 0.8435, kb_relative_information_score: 11934.9681, mean_absolute_error: 0.1104, 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: 0.2501, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4975, scimark_benchmark: 1727.6743, usercpu_time_millis: 98.936, usercpu_time_millis_testing: 4.094, usercpu_time_millis_training: 94.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9475, kappa: 0.8793, kb_relative_information_score: 12785.8216, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9505, predictive_accuracy: 0.9485, prior_entropy: 0.9135, recall: 0.9485, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.422, scimark_benchmark: 1967.041, usercpu_time_millis: 93.389, usercpu_time_millis_testing: 2.667, usercpu_time_millis_training: 90.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9482, kappa: 0.8808, kb_relative_information_score: 12735.676, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9514, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4218, scimark_benchmark: 1725.6937, usercpu_time_millis: 95.91, usercpu_time_millis_testing: 5.345, usercpu_time_millis_training: 90.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9525, kappa: 0.8913, kb_relative_information_score: 13196.1989, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9533, predictive_accuracy: 0.953, prior_entropy: 0.9135, recall: 0.953, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4067, scimark_benchmark: 1720.8224, usercpu_time_millis: 91.404, usercpu_time_millis_testing: 2.275, usercpu_time_millis_training: 89.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9392, kappa: 0.8596, kb_relative_information_score: 12114.5427, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9449, predictive_accuracy: 0.9408, prior_entropy: 0.9135, recall: 0.9408, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4621, scimark_benchmark: 1732.8983, usercpu_time_millis: 64.015, usercpu_time_millis_testing: 3.995, usercpu_time_millis_training: 60.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9338, kappa: 0.8468, kb_relative_information_score: 12199.8667, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9411, predictive_accuracy: 0.9357, prior_entropy: 0.9135, recall: 0.9357, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4703, scimark_benchmark: 1729.3292, usercpu_time_millis: 114.186, usercpu_time_millis_testing: 4.805, usercpu_time_millis_training: 109.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9382, kappa: 0.8573, kb_relative_information_score: 10330.9216, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9442, predictive_accuracy: 0.9399, prior_entropy: 0.9135, recall: 0.9399, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5037, scimark_benchmark: 1728.9285, usercpu_time_millis: 73.993, usercpu_time_millis_testing: 6.365, usercpu_time_millis_training: 67.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9502, kappa: 0.8855, kb_relative_information_score: 12862.4954, mean_absolute_error: 0.0816, 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: 0.185, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4134, scimark_benchmark: 1728.9285, usercpu_time_millis: 64.707, usercpu_time_millis_testing: 3.086, usercpu_time_millis_training: 61.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12006.4646, mean_absolute_error: 0.1088, 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: 0.2466, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4784, scimark_benchmark: 1732.0396, usercpu_time_millis: 45.263, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 42.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.94, kappa: 0.8615, kb_relative_information_score: 10423.4764, mean_absolute_error: 0.1696, 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: 0.3844, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4977, scimark_benchmark: 1730.3001, usercpu_time_millis: 87.13, usercpu_time_millis_testing: 6.904, usercpu_time_millis_training: 80.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9405, kappa: 0.8627, kb_relative_information_score: 10500.7435, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9459, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4928, scimark_benchmark: 1724.3221, usercpu_time_millis: 81.983, usercpu_time_millis_testing: 6.479, usercpu_time_millis_training: 75.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9406, kappa: 0.863, kb_relative_information_score: 10542.5602, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9459, predictive_accuracy: 0.9421, prior_entropy: 0.9135, recall: 0.9421, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4902, scimark_benchmark: 1722.1324, usercpu_time_millis: 42.426, usercpu_time_millis_testing: 3.401, usercpu_time_millis_training: 39.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9326, kappa: 0.8441, kb_relative_information_score: 11852.1016, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4754, scimark_benchmark: 1720.3601, usercpu_time_millis: 44.913, usercpu_time_millis_testing: 3.718, usercpu_time_millis_training: 41.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9508, kappa: 0.8871, kb_relative_information_score: 12865.9975, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9535, predictive_accuracy: 0.9517, prior_entropy: 0.9135, recall: 0.9517, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4114, scimark_benchmark: 1730.1903, usercpu_time_millis: 76.753, usercpu_time_millis_testing: 4.19, usercpu_time_millis_training: 72.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9324, kappa: 0.8435, kb_relative_information_score: 11893.9773, mean_absolute_error: 0.1119, 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: 0.2536, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5029, scimark_benchmark: 1719.5188, usercpu_time_millis: 33.373, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 31.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 6584.546, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6913, scimark_benchmark: 1726.4944, usercpu_time_millis: 29.849, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 26.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: 0.438, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1701.3425, usercpu_time_millis: 22.973, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 20.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9505, kappa: 0.8863, kb_relative_information_score: 12841.4938, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9532, predictive_accuracy: 0.9514, prior_entropy: 0.9135, recall: 0.9514, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4128, scimark_benchmark: 1730.591, usercpu_time_millis: 26.959, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 25.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10170.3641, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5387, scimark_benchmark: 1730.1287, usercpu_time_millis: 24.797, usercpu_time_millis_testing: 2.848, usercpu_time_millis_training: 21.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10320.4987, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5325, scimark_benchmark: 1698.2408, usercpu_time_millis: 51.669, usercpu_time_millis_testing: 4.428, usercpu_time_millis_training: 47.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9329, kappa: 0.8448, kb_relative_information_score: 11831.5209, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4749, scimark_benchmark: 1733.7613, usercpu_time_millis: 12.518, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 11.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: -3.6697, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 4.092, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 3.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9466, kappa: 0.8773, kb_relative_information_score: 12623.7212, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9501, predictive_accuracy: 0.9477, prior_entropy: 0.9135, recall: 0.9477, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4278, scimark_benchmark: 1729.2681, usercpu_time_millis: 37.857, usercpu_time_millis_testing: 2.866, usercpu_time_millis_training: 34.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9341, kappa: 0.8476, kb_relative_information_score: 12158.2862, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9415, predictive_accuracy: 0.9361, prior_entropy: 0.9135, recall: 0.9361, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4691, scimark_benchmark: 1712.5032, usercpu_time_millis: 36.405, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 34.663,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8748, kappa: 0.7189, kb_relative_information_score: 9010.8361, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8767, predictive_accuracy: 0.8739, prior_entropy: 0.9135, recall: 0.8739, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9536, kappa: 0.8936, kb_relative_information_score: 12999.8522, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9557, predictive_accuracy: 0.9543, prior_entropy: 0.9135, recall: 0.9543, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4054, scimark_benchmark: 1722.2536, usercpu_time_millis: 119.319, usercpu_time_millis_testing: 4.027, usercpu_time_millis_training: 115.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9331, kappa: 0.8454, kb_relative_information_score: 12193.3254, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9352, prior_entropy: 0.9135, recall: 0.9352, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4718, scimark_benchmark: 1751.8448, usercpu_time_millis: 86.628, usercpu_time_millis_testing: 3.153, usercpu_time_millis_training: 83.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9343, kappa: 0.8482, kb_relative_information_score: 12014.5111, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9414, predictive_accuracy: 0.9363, prior_entropy: 0.9135, recall: 0.9363, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4676, scimark_benchmark: 1752.2399, usercpu_time_millis: 85.285, usercpu_time_millis_testing: 5.659, usercpu_time_millis_training: 79.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9378, kappa: 0.8564, kb_relative_information_score: 12065.3303, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9438, predictive_accuracy: 0.9395, prior_entropy: 0.9135, recall: 0.9395, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652, scimark_benchmark: 1735.1328, usercpu_time_millis: 87.504, usercpu_time_millis_testing: 6.816, usercpu_time_millis_training: 80.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9441, kappa: 0.8712, kb_relative_information_score: 12477.0813, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9479, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4383, scimark_benchmark: 1734.3333, usercpu_time_millis: 86.301, usercpu_time_millis_testing: 7.155, usercpu_time_millis_training: 79.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.941, kappa: 0.8638, kb_relative_information_score: 10527.4134, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9463, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4908, scimark_benchmark: 1734.2259, usercpu_time_millis: 81.266, usercpu_time_millis_testing: 6.677, usercpu_time_millis_training: 74.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9325, kappa: 0.8438, kb_relative_information_score: 11800.1795, mean_absolute_error: 0.1158, 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: 0.2624, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5001, scimark_benchmark: 1691.7307, usercpu_time_millis: 62.535, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 57.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9363, kappa: 0.8529, kb_relative_information_score: 12031.4469, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.943, predictive_accuracy: 0.9381, prior_entropy: 0.9135, recall: 0.9381, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4661, scimark_benchmark: 1737.4645, usercpu_time_millis: 89.397, usercpu_time_millis_testing: 5.165, usercpu_time_millis_training: 84.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 11423.7561, mean_absolute_error: 0.1302, 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: 0.295, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4902, scimark_benchmark: 1775.8874, usercpu_time_millis: 63.068, usercpu_time_millis_testing: 4.553, usercpu_time_millis_training: 58.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9327, kappa: 0.8444, kb_relative_information_score: 9593.3055, mean_absolute_error: 0.1955, 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: 0.443, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5445, scimark_benchmark: 1723.4592, usercpu_time_millis: 60.425, usercpu_time_millis_testing: 5.082, usercpu_time_millis_training: 55.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9491, kappa: 0.883, kb_relative_information_score: 12812.0338, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.952, predictive_accuracy: 0.95, prior_entropy: 0.9135, recall: 0.95, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4173, scimark_benchmark: 1726.9824, usercpu_time_millis: 56.971, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 54.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.934, kappa: 0.8475, kb_relative_information_score: 10090.8972, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9412, predictive_accuracy: 0.936, prior_entropy: 0.9135, recall: 0.936, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5191, scimark_benchmark: 1733.299, usercpu_time_millis: 50.122, usercpu_time_millis_testing: 4.857, usercpu_time_millis_training: 45.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9376, kappa: 0.8559, kb_relative_information_score: 10316.8503, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9436, predictive_accuracy: 0.9393, prior_entropy: 0.9135, recall: 0.9393, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.505, scimark_benchmark: 1739.7128, usercpu_time_millis: 37.502, usercpu_time_millis_testing: 3.851, usercpu_time_millis_training: 33.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9333, kappa: 0.8457, kb_relative_information_score: 9912.9395, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9407, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5283, scimark_benchmark: 1750.6256, usercpu_time_millis: 26.066, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 23.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.949, kappa: 0.8828, kb_relative_information_score: 12774.4598, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9519, predictive_accuracy: 0.95, prior_entropy: 0.9135, recall: 0.95, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4181, scimark_benchmark: 1950.5724, usercpu_time_millis: 22.677, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 21.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9321, kappa: 0.8429, kb_relative_information_score: 10923.1628, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.517, scimark_benchmark: 1754.2586, usercpu_time_millis: 28.062, usercpu_time_millis_testing: 2.947, usercpu_time_millis_training: 25.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9466, kappa: 0.8772, kb_relative_information_score: 12726.0406, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9498, predictive_accuracy: 0.9476, prior_entropy: 0.9135, recall: 0.9476, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4281, scimark_benchmark: 1739.7128, usercpu_time_millis: 25.765, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 24.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9323, kappa: 0.8435, kb_relative_information_score: 11585.7628, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.486, scimark_benchmark: 1706.475, usercpu_time_millis: 27.995, usercpu_time_millis_testing: 3.021, usercpu_time_millis_training: 24.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9476, kappa: 0.8795, kb_relative_information_score: 12699.727, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9508, predictive_accuracy: 0.9486, prior_entropy: 0.9135, recall: 0.9486, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4253, scimark_benchmark: 1730.591, usercpu_time_millis: 27.999, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 26.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9321, kappa: 0.8429, kb_relative_information_score: 11791.7257, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5116, scimark_benchmark: 1763.076, usercpu_time_millis: 18.152, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 16.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9325, kappa: 0.8439, kb_relative_information_score: 12005.204, mean_absolute_error: 0.1082, 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: 0.2452, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4844, scimark_benchmark: 1736.1564, usercpu_time_millis: 16.57, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 15.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: 0.1551, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1748.4569, usercpu_time_millis: 11.637, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 9.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5394, kb_relative_information_score: 0.586, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1772.3756, usercpu_time_millis: 13.645, usercpu_time_millis_testing: 1.797, usercpu_time_millis_training: 11.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9322, kappa: 0.8432, kb_relative_information_score: 11494.1192, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5001, scimark_benchmark: 1709.9252, usercpu_time_millis: 8.62, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 8.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5394, kb_relative_information_score: -23.6708, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1752.8041, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7825, kappa: 0.4969, kb_relative_information_score: 6458.5055, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7832, predictive_accuracy: 0.789, prior_entropy: 0.9135, recall: 0.789, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8564, kappa: 0.6798, kb_relative_information_score: 7974.2053, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8608, predictive_accuracy: 0.8545, prior_entropy: 0.9135, recall: 0.8545, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8709, kappa: 0.7096, kb_relative_information_score: 8828.5184, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8723, predictive_accuracy: 0.8701, prior_entropy: 0.9135, recall: 0.8701, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6815, kappa: 0.256, kb_relative_information_score: 2901.1371, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6976, predictive_accuracy: 0.7141, prior_entropy: 0.9135, recall: 0.7141, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8751, kappa: 0.7194, kb_relative_information_score: 9074.0632, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8769, predictive_accuracy: 0.8741, prior_entropy: 0.9135, recall: 0.8741, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7593, kappa: 0.4459, kb_relative_information_score: 5683.9751, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7578, predictive_accuracy: 0.7642, prior_entropy: 0.9135, recall: 0.7642, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8611, kappa: 0.6889, kb_relative_information_score: 8270.7077, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.864, predictive_accuracy: 0.8597, prior_entropy: 0.9135, recall: 0.8597, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.949, kappa: 0.8829, kb_relative_information_score: 12804.0239, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9519, predictive_accuracy: 0.95, prior_entropy: 0.9135, recall: 0.95, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4184, scimark_benchmark: 1727.9533, usercpu_time_millis: 142.031, usercpu_time_millis_testing: 6.984, usercpu_time_millis_training: 135.047,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs