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: 0.9596, f_measure: 0.9329, kappa: 0.8448, kb_relative_information_score: 9692.4677, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5392, scimark_benchmark: 1256.1388, usercpu_time_millis: 184.191, usercpu_time_millis_testing: 17.706, usercpu_time_millis_training: 166.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8506, kappa: 0.6637, kb_relative_information_score: 6182.5137, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8521, predictive_accuracy: 0.8496, prior_entropy: 0.9135, recall: 0.8496, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7642, scimark_benchmark: 1292.4656, usercpu_time_millis: 120.359, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 120.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8511, kappa: 0.6647, kb_relative_information_score: 6213.5101, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8524, predictive_accuracy: 0.8503, prior_entropy: 0.9135, recall: 0.8503, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632, scimark_benchmark: 1288.1466, usercpu_time_millis: 203.892, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 203.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9502, kappa: 0.8855, kb_relative_information_score: 12835.574, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9529, predictive_accuracy: 0.951, prior_entropy: 0.9135, recall: 0.951, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.415, scimark_benchmark: 1257.9734, usercpu_time_millis: 966.719, usercpu_time_millis_testing: 39.212, usercpu_time_millis_training: 927.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8217, kappa: 0.5856, kb_relative_information_score: 4711.3354, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8296, predictive_accuracy: 0.8297, prior_entropy: 0.9135, recall: 0.8297, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8104, scimark_benchmark: 1308.8657, usercpu_time_millis: 2.944, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12085.933, mean_absolute_error: 0.1057, 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: 0.2396, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4788, scimark_benchmark: 1231.5427, usercpu_time_millis: 496.518, usercpu_time_millis_testing: 25.3, usercpu_time_millis_training: 471.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9502, kappa: 0.8857, kb_relative_information_score: 12858.5124, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9529, predictive_accuracy: 0.9511, prior_entropy: 0.9135, recall: 0.9511, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4132, scimark_benchmark: 1256.2645, usercpu_time_millis: 460.33, usercpu_time_millis_testing: 20.244, usercpu_time_millis_training: 440.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9488, kappa: 0.8824, kb_relative_information_score: 12819.6505, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9517, predictive_accuracy: 0.9498, prior_entropy: 0.9135, recall: 0.9498, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4166, scimark_benchmark: 1238.7264, usercpu_time_millis: 159.516, usercpu_time_millis_testing: 7.837, usercpu_time_millis_training: 151.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.85, kappa: 0.6627, kb_relative_information_score: 6145.1674, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8517, predictive_accuracy: 0.849, prior_entropy: 0.9135, recall: 0.849, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7663, scimark_benchmark: 1277.4722, usercpu_time_millis: 54.963, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 54.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.773, kappa: 0.4698, kb_relative_information_score: 4053.2996, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8135, predictive_accuracy: 0.7962, prior_entropy: 0.9135, recall: 0.7962, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8372, scimark_benchmark: 1306.9827, usercpu_time_millis: 43.357, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 43.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.851, kappa: 0.6645, kb_relative_information_score: 6212.5034, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8523, predictive_accuracy: 0.8502, prior_entropy: 0.9135, recall: 0.8502, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632, scimark_benchmark: 1292.9264, usercpu_time_millis: 273.762, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 273.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9449, kappa: 0.8732, kb_relative_information_score: 12611.1922, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9485, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4354, scimark_benchmark: 1250.1374, usercpu_time_millis: 592.267, usercpu_time_millis_testing: 22.497, usercpu_time_millis_training: 569.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9429, kappa: 0.8686, kb_relative_information_score: 12476.282, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9469, predictive_accuracy: 0.9442, prior_entropy: 0.9135, recall: 0.9442, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4491, scimark_benchmark: 1270.0427, usercpu_time_millis: 706.613, usercpu_time_millis_testing: 18.283, usercpu_time_millis_training: 688.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9388, kappa: 0.8588, kb_relative_information_score: 12100.4128, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9447, predictive_accuracy: 0.9404, prior_entropy: 0.9135, recall: 0.9404, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.463, scimark_benchmark: 1248.7352, usercpu_time_millis: 123.149, usercpu_time_millis_testing: 6.971, usercpu_time_millis_training: 116.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9526, kappa: 0.8911, kb_relative_information_score: 12979.0185, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 0.9135, recall: 0.9533, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4067, scimark_benchmark: 1261.872, usercpu_time_millis: 947.401, usercpu_time_millis_testing: 30.421, usercpu_time_millis_training: 916.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8511, kappa: 0.6646, kb_relative_information_score: 6213.2615, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8523, predictive_accuracy: 0.8502, prior_entropy: 0.9135, recall: 0.8502, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632, scimark_benchmark: 1296.5214, usercpu_time_millis: 179.656, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 179.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.952, kappa: 0.8898, kb_relative_information_score: 12988.2292, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9538, predictive_accuracy: 0.9527, prior_entropy: 0.9135, recall: 0.9527, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4117, scimark_benchmark: 1262.7516, usercpu_time_millis: 592.732, usercpu_time_millis_testing: 15.982, usercpu_time_millis_training: 576.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9406, kappa: 0.863, kb_relative_information_score: 12206.8782, mean_absolute_error: 0.1031, 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: 0.2336, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4568, scimark_benchmark: 1270.2866, usercpu_time_millis: 94.865, usercpu_time_millis_testing: 4.699, usercpu_time_millis_training: 90.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9543, kappa: 0.8953, kb_relative_information_score: 13053.2582, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9561, predictive_accuracy: 0.955, prior_entropy: 0.9135, recall: 0.955, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.402, scimark_benchmark: 1246.0488, usercpu_time_millis: 746.537, usercpu_time_millis_testing: 20.457, usercpu_time_millis_training: 726.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9494, kappa: 0.8838, kb_relative_information_score: 12820.8689, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9523, predictive_accuracy: 0.9503, prior_entropy: 0.9135, recall: 0.9503, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4166, scimark_benchmark: 1267.6737, usercpu_time_millis: 981.938, usercpu_time_millis_testing: 39.491, usercpu_time_millis_training: 942.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.94, kappa: 0.8617, kb_relative_information_score: 10572.8166, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9445, predictive_accuracy: 0.9414, prior_entropy: 0.9135, recall: 0.9414, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5066, scimark_benchmark: 1236.8842, usercpu_time_millis: 5.595, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 5.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9513, kappa: 0.8882, kb_relative_information_score: 12895.5376, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9539, predictive_accuracy: 0.9521, prior_entropy: 0.9135, recall: 0.9521, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4098, scimark_benchmark: 1274.2351, usercpu_time_millis: 582.087, usercpu_time_millis_testing: 32.373, usercpu_time_millis_training: 549.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9455, kappa: 0.8745, kb_relative_information_score: 12602.2502, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9491, predictive_accuracy: 0.9466, prior_entropy: 0.9135, recall: 0.9466, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4335, scimark_benchmark: 1250.8568, usercpu_time_millis: 173.871, usercpu_time_millis_testing: 9.962, usercpu_time_millis_training: 163.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9405, kappa: 0.8627, kb_relative_information_score: 10487.9636, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9458, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4927, scimark_benchmark: 1232.0951, usercpu_time_millis: 196.655, usercpu_time_millis_testing: 15.163, usercpu_time_millis_training: 181.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12041.0211, mean_absolute_error: 0.107, 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: 0.2425, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.482, scimark_benchmark: 1270.8137, usercpu_time_millis: 201.637, usercpu_time_millis_testing: 10.535, usercpu_time_millis_training: 191.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.952, kappa: 0.8899, kb_relative_information_score: 13026.3009, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9539, predictive_accuracy: 0.9527, prior_entropy: 0.9135, recall: 0.9527, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4072, scimark_benchmark: 1261.7115, usercpu_time_millis: 1063.835, usercpu_time_millis_testing: 31.71, usercpu_time_millis_training: 1032.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9493, kappa: 0.8835, kb_relative_information_score: 12817.4875, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9521, predictive_accuracy: 0.9502, prior_entropy: 0.9135, recall: 0.9502, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4174, scimark_benchmark: 1265.1712, usercpu_time_millis: 456.969, usercpu_time_millis_testing: 16.303, usercpu_time_millis_training: 440.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9319, kappa: 0.8425, kb_relative_information_score: 10830.5548, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.934, prior_entropy: 0.9135, recall: 0.934, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5117, scimark_benchmark: 1248.3819, usercpu_time_millis: 264.492, usercpu_time_millis_testing: 20.9, usercpu_time_millis_training: 243.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9327, kappa: 0.8444, kb_relative_information_score: 9983.9482, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5251, scimark_benchmark: 1270.886, usercpu_time_millis: 132.621, usercpu_time_millis_testing: 10.469, usercpu_time_millis_training: 122.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9355, kappa: 0.8509, kb_relative_information_score: 12205.3292, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9423, predictive_accuracy: 0.9373, prior_entropy: 0.9135, recall: 0.9373, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4688, scimark_benchmark: 1251.3179, usercpu_time_millis: 492.103, usercpu_time_millis_testing: 26.212, usercpu_time_millis_training: 465.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9432, kappa: 0.8692, kb_relative_information_score: 12418.1144, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9475, predictive_accuracy: 0.9445, prior_entropy: 0.9135, recall: 0.9445, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4433, scimark_benchmark: 1242.2851, usercpu_time_millis: 498.478, usercpu_time_millis_testing: 26.89, usercpu_time_millis_training: 471.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9416, kappa: 0.8654, kb_relative_information_score: 12248.0528, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9468, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4538, scimark_benchmark: 1270.8729, usercpu_time_millis: 722.052, usercpu_time_millis_testing: 36.067, usercpu_time_millis_training: 685.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8499, kappa: 0.6624, kb_relative_information_score: 6147.4478, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8488, prior_entropy: 0.9135, recall: 0.8488, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7661, scimark_benchmark: 1294.1536, usercpu_time_millis: 59.286, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 59.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9368, kappa: 0.8541, kb_relative_information_score: 10280.0044, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9431, predictive_accuracy: 0.9386, prior_entropy: 0.9135, recall: 0.9386, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5074, scimark_benchmark: 1246.2618, usercpu_time_millis: 233.318, usercpu_time_millis_testing: 17.263, usercpu_time_millis_training: 216.055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6642, kb_relative_information_score: 6189.2941, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8523, predictive_accuracy: 0.8499, prior_entropy: 0.9135, recall: 0.8499, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.764, scimark_benchmark: 1306.7946, usercpu_time_millis: 222.833, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 222.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9388, kappa: 0.8588, kb_relative_information_score: 10446.2251, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9447, predictive_accuracy: 0.9404, prior_entropy: 0.9135, recall: 0.9404, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4998, scimark_benchmark: 1267.3164, usercpu_time_millis: 18.145, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 16.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9538, kappa: 0.8945, kb_relative_information_score: 13657.1936, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9135, recall: 0.9542, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4087, scimark_benchmark: 1273.5841, usercpu_time_millis: 778.661, usercpu_time_millis_testing: 14.589, usercpu_time_millis_training: 764.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9327, kappa: 0.8444, kb_relative_information_score: 11718.5182, mean_absolute_error: 0.1197, 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: 0.2713, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4804, scimark_benchmark: 1254.2533, usercpu_time_millis: 176.4, usercpu_time_millis_testing: 11.916, usercpu_time_millis_training: 164.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9323, kappa: 0.8434, kb_relative_information_score: 9684.6536, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5402, scimark_benchmark: 1271.636, usercpu_time_millis: 310.717, usercpu_time_millis_testing: 24.532, usercpu_time_millis_training: 286.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9435, kappa: 0.8698, kb_relative_information_score: 12455.5361, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9477, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4406, scimark_benchmark: 1268.7527, usercpu_time_millis: 334.111, usercpu_time_millis_testing: 14.819, usercpu_time_millis_training: 319.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9414, kappa: 0.8649, kb_relative_information_score: 10532.3719, mean_absolute_error: 0.1664, 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: 0.3771, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4892, scimark_benchmark: 1246.1418, usercpu_time_millis: 366.113, usercpu_time_millis_testing: 27.238, usercpu_time_millis_training: 338.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9486, kappa: 0.8818, kb_relative_information_score: 12808.1108, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9515, predictive_accuracy: 0.9495, prior_entropy: 0.9135, recall: 0.9495, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4186, scimark_benchmark: 1242.0884, usercpu_time_millis: 1070.546, usercpu_time_millis_testing: 36.392, usercpu_time_millis_training: 1034.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.5394, kb_relative_information_score: 2639.3865, mean_absolute_error: 0.373, 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: 0.8454, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8958, scimark_benchmark: 1296.4564, usercpu_time_millis: 46.688, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 46.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9466, kappa: 0.8771, kb_relative_information_score: 12738.1524, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9496, predictive_accuracy: 0.9476, prior_entropy: 0.9135, recall: 0.9476, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4267, scimark_benchmark: 1230.6348, usercpu_time_millis: 428.927, usercpu_time_millis_testing: 11.808, usercpu_time_millis_training: 417.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9399, kappa: 0.8612, kb_relative_information_score: 10465.37, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9454, predictive_accuracy: 0.9414, prior_entropy: 0.9135, recall: 0.9414, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4951, scimark_benchmark: 1238.4441, usercpu_time_millis: 382.863, usercpu_time_millis_testing: 31.76, usercpu_time_millis_training: 351.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9408, kappa: 0.8635, kb_relative_information_score: 12328.353, mean_absolute_error: 0.0984, 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: 0.223, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4574, scimark_benchmark: 1249.8925, usercpu_time_millis: 183.243, usercpu_time_millis_testing: 7.883, usercpu_time_millis_training: 175.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9444, kappa: 0.872, kb_relative_information_score: 12551.7241, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9456, prior_entropy: 0.9135, recall: 0.9456, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4339, scimark_benchmark: 1238.5926, usercpu_time_millis: 301.057, usercpu_time_millis_testing: 14.415, usercpu_time_millis_training: 286.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9449, kappa: 0.8732, kb_relative_information_score: 12611.7246, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9485, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4357, scimark_benchmark: 1259.8521, usercpu_time_millis: 381.184, usercpu_time_millis_testing: 14.678, usercpu_time_millis_training: 366.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9431, kappa: 0.8689, kb_relative_information_score: 12452.7421, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9473, predictive_accuracy: 0.9444, prior_entropy: 0.9135, recall: 0.9444, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4493, scimark_benchmark: 1234.4741, usercpu_time_millis: 916.062, usercpu_time_millis_testing: 30.912, usercpu_time_millis_training: 885.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9462, kappa: 0.8762, kb_relative_information_score: 12703.3147, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9496, predictive_accuracy: 0.9473, prior_entropy: 0.9135, recall: 0.9473, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4275, scimark_benchmark: 1231.4331, usercpu_time_millis: 993.464, usercpu_time_millis_testing: 35.035, usercpu_time_millis_training: 958.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9379, kappa: 0.8565, kb_relative_information_score: 10358.7942, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9439, predictive_accuracy: 0.9395, prior_entropy: 0.9135, recall: 0.9395, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5037, scimark_benchmark: 1266.4702, usercpu_time_millis: 152.996, usercpu_time_millis_testing: 13.717, usercpu_time_millis_training: 139.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9441, kappa: 0.8712, kb_relative_information_score: 12506.7973, mean_absolute_error: 0.0928, 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: 0.2104, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4415, scimark_benchmark: 1234.5902, usercpu_time_millis: 154.151, usercpu_time_millis_testing: 9.149, usercpu_time_millis_training: 145.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.939, kappa: 0.8591, kb_relative_information_score: 10356.1727, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 0.9135, recall: 0.9406, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5018, scimark_benchmark: 1258.3347, usercpu_time_millis: 212.172, usercpu_time_millis_testing: 15.802, usercpu_time_millis_training: 196.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9328, kappa: 0.8446, kb_relative_information_score: 11535.5768, mean_absolute_error: 0.1264, 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: 0.2865, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4854, scimark_benchmark: 1256.897, usercpu_time_millis: 214.252, usercpu_time_millis_testing: 14.564, usercpu_time_millis_training: 199.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8779, kappa: 0.7178, kb_relative_information_score: 9682.785, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8826, predictive_accuracy: 0.8815, prior_entropy: 0.9135, recall: 0.8815, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6277, scimark_benchmark: 1241.8694, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9389, kappa: 0.859, kb_relative_information_score: 10394.2743, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9446, predictive_accuracy: 0.9405, prior_entropy: 0.9135, recall: 0.9405, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4999, scimark_benchmark: 1261.8922, usercpu_time_millis: 315.925, usercpu_time_millis_testing: 27.161, usercpu_time_millis_training: 288.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9479, kappa: 0.8802, kb_relative_information_score: 12787.7683, mean_absolute_error: 0.0836, 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: 0.1896, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4243, scimark_benchmark: 1224.988, usercpu_time_millis: 1192.538, usercpu_time_millis_testing: 35.811, usercpu_time_millis_training: 1156.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9417, kappa: 0.8656, kb_relative_information_score: 12264.8843, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4531, scimark_benchmark: 1239.288, usercpu_time_millis: 773.352, usercpu_time_millis_testing: 36.754, usercpu_time_millis_training: 736.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9345, kappa: 0.8487, kb_relative_information_score: 10159.884, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9416, predictive_accuracy: 0.9364, prior_entropy: 0.9135, recall: 0.9364, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5144, scimark_benchmark: 1260.0025, usercpu_time_millis: 290.796, usercpu_time_millis_testing: 22.238, usercpu_time_millis_training: 268.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9476, kappa: 0.8794, kb_relative_information_score: 12785.5959, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9485, prior_entropy: 0.9135, recall: 0.9485, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.422, scimark_benchmark: 1265.8316, usercpu_time_millis: 319.908, usercpu_time_millis_testing: 7.997, usercpu_time_millis_training: 311.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9363, kappa: 0.8527, kb_relative_information_score: 12180.0606, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9381, prior_entropy: 0.9135, recall: 0.9381, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4678, scimark_benchmark: 1233.8371, usercpu_time_millis: 399.47, usercpu_time_millis_testing: 20.151, usercpu_time_millis_training: 379.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 11977.3043, mean_absolute_error: 0.1091, 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: 0.2472, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4907, scimark_benchmark: 1254.5836, usercpu_time_millis: 144.572, usercpu_time_millis_testing: 9.285, usercpu_time_millis_training: 135.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8501, kappa: 0.6629, kb_relative_information_score: 6143.5034, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8518, predictive_accuracy: 0.849, prior_entropy: 0.9135, recall: 0.849, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7663, scimark_benchmark: 1276.1473, usercpu_time_millis: 173.949, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 173.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9441, kappa: 0.8712, kb_relative_information_score: 12543.1721, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4407, scimark_benchmark: 1272.5693, usercpu_time_millis: 374.047, usercpu_time_millis_testing: 15.428, usercpu_time_millis_training: 358.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9459, kappa: 0.8755, kb_relative_information_score: 12613.2308, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9495, predictive_accuracy: 0.947, prior_entropy: 0.9135, recall: 0.947, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.429, scimark_benchmark: 1229.4763, usercpu_time_millis: 369.898, usercpu_time_millis_testing: 20.782, usercpu_time_millis_training: 349.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9425, kappa: 0.8674, kb_relative_information_score: 12306.8807, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9472, predictive_accuracy: 0.9438, prior_entropy: 0.9135, recall: 0.9438, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4502, scimark_benchmark: 1244.2927, usercpu_time_millis: 121.027, usercpu_time_millis_testing: 7.434, usercpu_time_millis_training: 113.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8507, kappa: 0.6637, kb_relative_information_score: 6208.6844, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.852, predictive_accuracy: 0.8498, prior_entropy: 0.9135, recall: 0.8498, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7633, scimark_benchmark: 1285.3214, usercpu_time_millis: 178.612, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 178.593,

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