Task
Supervised Classification on re0.wc

Supervised Classification on re0.wc

Task 3526 Supervised Classification re0.wc 129 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7507, kappa: 0.6732, kb_relative_information_score: 922.0303, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 2.6539, recall: 0.76, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.166, root_relative_squared_error: 0.6852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.7815, kappa: 0.7174, kb_relative_information_score: 975.8998, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7858, predictive_accuracy: 0.7892, prior_entropy: 2.6539, recall: 0.7892, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7521, kappa: 0.6757, kb_relative_information_score: 1014.9875, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7523, predictive_accuracy: 0.754, prior_entropy: 2.6539, recall: 0.754, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7488, kappa: 0.6649, kb_relative_information_score: 965.3088, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7889, predictive_accuracy: 0.7613, prior_entropy: 2.6539, recall: 0.7613, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6132, kappa: 0.5268, kb_relative_information_score: 709.2372, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.5958, predictive_accuracy: 0.6596, prior_entropy: 2.6539, recall: 0.6596, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7882, kappa: 0.7394, kb_relative_information_score: 1039.0172, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8208, predictive_accuracy: 0.8112, prior_entropy: 2.6539, recall: 0.8112, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.3058, kappa: 0.0858, kb_relative_information_score: 311.2297, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.485, predictive_accuracy: 0.4422, prior_entropy: 2.6539, recall: 0.4422, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.293, root_relative_squared_error: 1.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.767, kappa: 0.6967, kb_relative_information_score: 1023.5362, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7662, predictive_accuracy: 0.7699, prior_entropy: 2.6539, recall: 0.7699, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7271, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6818, kappa: 0.6083, kb_relative_information_score: 858.8133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6601, predictive_accuracy: 0.7101, prior_entropy: 2.6539, recall: 0.7101, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.7319, scimark_benchmark: 851.2074, usercpu_time_millis: 183180, usercpu_time_millis_training: 183180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.767, kappa: 0.6967, kb_relative_information_score: 1023.5362, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7662, predictive_accuracy: 0.7699, prior_entropy: 2.6539, recall: 0.7699, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7271, scimark_benchmark: 819.5729, usercpu_time_millis: 12780, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 12360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6818, kappa: 0.6083, kb_relative_information_score: 858.8133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6601, predictive_accuracy: 0.7101, prior_entropy: 2.6539, recall: 0.7101, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.7319, scimark_benchmark: 944.0133, usercpu_time_millis: 244200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 244190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7776, kappa: 0.716, kb_relative_information_score: 1032.7361, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7817, predictive_accuracy: 0.7872, prior_entropy: 2.6539, recall: 0.7872, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.6408, scimark_benchmark: 939.7883, usercpu_time_millis: 2405480, usercpu_time_millis_testing: 775700, usercpu_time_millis_training: 1629780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.7759, kappa: 0.7135, kb_relative_information_score: 1032.001, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7793, predictive_accuracy: 0.7859, prior_entropy: 2.6539, recall: 0.7859, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.6448, scimark_benchmark: 862.7006, usercpu_time_millis: 1156450, usercpu_time_millis_testing: 352200, usercpu_time_millis_training: 804250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7702, kappa: 0.7066, kb_relative_information_score: 1023.2877, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7718, predictive_accuracy: 0.7799, prior_entropy: 2.6539, recall: 0.7799, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.6545, scimark_benchmark: 889.4922, usercpu_time_millis: 557870, usercpu_time_millis_testing: 164120, usercpu_time_millis_training: 393750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.2328, kb_relative_information_score: 8.1573, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2423, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549, usercpu_time_millis: 12770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 936.1714, usercpu_time_millis: 3940, usercpu_time_millis_training: 3940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 935.6052, usercpu_time_millis: 4220, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 940.0055, usercpu_time_millis: 3970, usercpu_time_millis_training: 3970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 935.6052, usercpu_time_millis: 4230, usercpu_time_millis_training: 4230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 935.6052, usercpu_time_millis: 4210, usercpu_time_millis_training: 4210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2328, kb_relative_information_score: 235.5346, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.3027, root_relative_squared_error: 1.2498, scimark_benchmark: 941.9549, usercpu_time_millis: 390, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8115, kappa: 0.7544, kb_relative_information_score: 1082.7982, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.817, predictive_accuracy: 0.8172, prior_entropy: 2.6539, recall: 0.8172, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.5887, scimark_benchmark: 942.6192, usercpu_time_millis: 555440, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 555060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.7598, kappa: 0.6906, kb_relative_information_score: 1017.4962, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7604, predictive_accuracy: 0.7673, prior_entropy: 2.6539, recall: 0.7673, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.6765, scimark_benchmark: 936.7286, usercpu_time_millis: 6550280, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 6550070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 294.2526, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9185, scimark_benchmark: 931.7994, usercpu_time_millis: 1750, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7378, kappa: 0.6578, kb_relative_information_score: 906.4285, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7388, predictive_accuracy: 0.7434, prior_entropy: 2.6539, recall: 0.7434, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.7466, scimark_benchmark: 936.1714, usercpu_time_millis: 125944530, usercpu_time_millis_testing: 36010, usercpu_time_millis_training: 125908520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.767, kappa: 0.6967, kb_relative_information_score: 1023.5362, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7662, predictive_accuracy: 0.7699, prior_entropy: 2.6539, recall: 0.7699, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7271, scimark_benchmark: 934.929, usercpu_time_millis: 15250, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 14950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6818, kappa: 0.6083, kb_relative_information_score: 858.8133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6601, predictive_accuracy: 0.7101, prior_entropy: 2.6539, recall: 0.7101, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.7319, scimark_benchmark: 903.4813, usercpu_time_millis: 239140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 239130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.5893, kappa: 0.4613, kb_relative_information_score: 693.072, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.5896, predictive_accuracy: 0.5898, prior_entropy: 2.6539, recall: 0.5898, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.9869, scimark_benchmark: 946.6409, usercpu_time_millis: 2886680, usercpu_time_millis_testing: 300110, usercpu_time_millis_training: 2586570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.767, kappa: 0.6967, kb_relative_information_score: 1023.5362, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7662, predictive_accuracy: 0.7699, prior_entropy: 2.6539, recall: 0.7699, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7271, scimark_benchmark: 901.8743, usercpu_time_millis: 15800, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 15520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 303.3021, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.927, scimark_benchmark: 1320.1171, usercpu_time_millis: 2870700, usercpu_time_millis_testing: 2870700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8332, kappa: 0.7808, kb_relative_information_score: 1180.0048, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8351, predictive_accuracy: 0.8344, prior_entropy: 2.6539, recall: 0.8344, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.5899, scimark_benchmark: 1320.2063, usercpu_time_millis: 2077440, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 2075820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7499, kappa: 0.68, kb_relative_information_score: 970.6412, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7587, predictive_accuracy: 0.7626, prior_entropy: 2.6539, recall: 0.7626, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.756, scimark_benchmark: 1256.2802, usercpu_time_millis: 56590, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 56550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6818, kappa: 0.6083, kb_relative_information_score: 858.8133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6601, predictive_accuracy: 0.7101, prior_entropy: 2.6539, recall: 0.7101, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.7319, scimark_benchmark: 1354.4721, usercpu_time_millis: 156810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 156800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.767, kappa: 0.6967, kb_relative_information_score: 1023.5362, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7662, predictive_accuracy: 0.7699, prior_entropy: 2.6539, recall: 0.7699, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7271, scimark_benchmark: 1371.174, usercpu_time_millis: 11050, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 10810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.767, kappa: 0.6967, kb_relative_information_score: 1023.5362, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7662, predictive_accuracy: 0.7699, prior_entropy: 2.6539, recall: 0.7699, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7271, scimark_benchmark: 1355.2525, usercpu_time_millis: 11740, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 11520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8529, kappa: 0.807, kb_relative_information_score: 1221.7251, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8539, predictive_accuracy: 0.8531, prior_entropy: 2.6539, recall: 0.8531, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.6207, scimark_benchmark: 1339.8573, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8363, kappa: 0.7855, kb_relative_information_score: 1202.1872, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8368, predictive_accuracy: 0.8384, prior_entropy: 2.6539, recall: 0.8384, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5908, scimark_benchmark: 1309.4998, usercpu_time_millis: 6237130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6237120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6818, kappa: 0.6083, kb_relative_information_score: 858.8133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6601, predictive_accuracy: 0.7101, prior_entropy: 2.6539, recall: 0.7101, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.7319, scimark_benchmark: 1320.9026, usercpu_time_millis: 157160, usercpu_time_millis_training: 157160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7779, kappa: 0.7183, kb_relative_information_score: 939.207, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8109, predictive_accuracy: 0.7945, prior_entropy: 2.6539, recall: 0.7945, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.653, scimark_benchmark: 1326.6647, usercpu_time_millis: 54530, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 53470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8133, kappa: 0.7569, kb_relative_information_score: 1119.8138, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8154, predictive_accuracy: 0.8185, prior_entropy: 2.6539, recall: 0.8185, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.141, root_relative_squared_error: 0.5822, scimark_benchmark: 1301.9176, usercpu_time_millis: 333860, usercpu_time_millis_training: 333860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.7877, kappa: 0.7271, kb_relative_information_score: 1026.0868, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8051, predictive_accuracy: 0.7972, prior_entropy: 2.6539, recall: 0.7972, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.15, root_relative_squared_error: 0.6194, scimark_benchmark: 1255.8862, usercpu_time_millis: 374690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 374650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6003, kappa: 0.4726, kb_relative_information_score: 739.9853, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6744, predictive_accuracy: 0.5678, prior_entropy: 2.6539, recall: 0.5678, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2537, root_relative_squared_error: 1.0475, scimark_benchmark: 1386.5717, usercpu_time_millis: 24720, usercpu_time_millis_testing: 23120, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.2328, kb_relative_information_score: 0.5816, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2422, root_relative_squared_error: 1, scimark_benchmark: 932.0242, usercpu_time_millis: 1030, usercpu_time_millis_testing: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8382, kappa: 0.7885, kb_relative_information_score: 1170.7737, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8394, predictive_accuracy: 0.8411, prior_entropy: 2.6539, recall: 0.8411, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.5603, scimark_benchmark: 940.0008, usercpu_time_millis: 963510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 963500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.7892, kappa: 0.7285, kb_relative_information_score: 1023.0139, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8066, predictive_accuracy: 0.7985, prior_entropy: 2.6539, recall: 0.7985, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.6244, scimark_benchmark: 942.9518, usercpu_time_millis: 216530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 216500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.7768, kappa: 0.7137, kb_relative_information_score: 1014.2959, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7913, predictive_accuracy: 0.7872, prior_entropy: 2.6539, recall: 0.7872, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.6329, scimark_benchmark: 924.1296, usercpu_time_millis: 102670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 102660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7434, kappa: 0.6689, kb_relative_information_score: 960.7104, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7419, predictive_accuracy: 0.75, prior_entropy: 2.6539, recall: 0.75, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.7507, scimark_benchmark: 1336.2509, usercpu_time_millis: 29060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 29050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 1304.9611, usercpu_time_millis: 3740, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 916.6405, usercpu_time_millis: 3780, usercpu_time_millis_training: 3780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 1287.514, usercpu_time_millis: 4240, usercpu_time_millis_training: 4240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 1321.9426, usercpu_time_millis: 3790, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 292.4719, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 825.5282, usercpu_time_millis: 3710, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.5404, kappa: 0.4208, kb_relative_information_score: 720.5551, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.6146, predictive_accuracy: 0.5705, prior_entropy: 2.6539, recall: 0.5705, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8588, scimark_benchmark: 1384.4418, usercpu_time_millis: 4150, usercpu_time_millis_testing: 4140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.5366, kappa: 0.4116, kb_relative_information_score: 762.2982, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.617, predictive_accuracy: 0.5459, prior_entropy: 2.6539, recall: 0.5459, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8737, scimark_benchmark: 1333.5799, usercpu_time_millis: 3890, usercpu_time_millis_testing: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.3947, kappa: 0.2153, kb_relative_information_score: 45.8752, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.5686, predictive_accuracy: 0.5086, prior_entropy: 2.6539, recall: 0.5086, relative_absolute_error: 1.1349, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0503, scimark_benchmark: 1337.7959, usercpu_time_millis: 23360, usercpu_time_millis_testing: 18660, usercpu_time_millis_training: 4700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7486, kappa: 0.6657, kb_relative_information_score: 160.2116, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7628, predictive_accuracy: 0.7553, prior_entropy: 2.6539, recall: 0.7553, relative_absolute_error: 1.1171, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2502, root_relative_squared_error: 1.033, scimark_benchmark: 933.3136, usercpu_time_millis: 4450, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8331, kappa: 0.7807, kb_relative_information_score: 1176.7363, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8352, predictive_accuracy: 0.8344, prior_entropy: 2.6539, recall: 0.8344, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.5888, scimark_benchmark: 932.5646, usercpu_time_millis: 717380, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 715220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8516, kappa: 0.8052, kb_relative_information_score: 1219.8151, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8527, predictive_accuracy: 0.8517, prior_entropy: 2.6539, recall: 0.8517, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.151, root_relative_squared_error: 0.6235, scimark_benchmark: 916.5955, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.78, kappa: 0.7183, kb_relative_information_score: 889.1907, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8104, predictive_accuracy: 0.7959, prior_entropy: 2.6539, recall: 0.7959, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.6794, scimark_benchmark: 1346.9602, usercpu_time_millis: 23200, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 22030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.5872, kappa: 0.4602, kb_relative_information_score: 696.2871, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.5865, predictive_accuracy: 0.5891, prior_entropy: 2.6539, recall: 0.5891, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2503, root_relative_squared_error: 1.0333, scimark_benchmark: 1346.9602, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7218, kappa: 0.638, kb_relative_information_score: 920.6999, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7312, predictive_accuracy: 0.7281, prior_entropy: 2.6539, recall: 0.7281, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.7323, scimark_benchmark: 1319.9043, usercpu_time_millis: 9180, usercpu_time_millis_training: 9180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7615, kappa: 0.6902, kb_relative_information_score: 961.1979, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7694, predictive_accuracy: 0.7693, prior_entropy: 2.6539, recall: 0.7693, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.7127, scimark_benchmark: 1330.2678, usercpu_time_millis: 89810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 89800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7226, kappa: 0.6406, kb_relative_information_score: 959.4665, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7464, predictive_accuracy: 0.7327, prior_entropy: 2.6539, recall: 0.7327, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.8371, scimark_benchmark: 1327.8711, usercpu_time_millis: 476720, usercpu_time_millis_testing: 253260, usercpu_time_millis_training: 223460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.3212, kappa: 0.1597, kb_relative_information_score: 146.6166, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.8506, predictive_accuracy: 0.2281, prior_entropy: 2.6539, recall: 0.2281, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.3446, root_relative_squared_error: 1.4226, scimark_benchmark: 1339.4189, usercpu_time_millis: 60760, usercpu_time_millis_testing: 10860, usercpu_time_millis_training: 49900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7397, kappa: 0.6612, kb_relative_information_score: 992.4199, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.7406, predictive_accuracy: 0.7414, prior_entropy: 2.6539, recall: 0.7414, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.7879, scimark_benchmark: 1341.2341, usercpu_time_millis: 257830, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 257790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.4208, kappa: 0.2842, kb_relative_information_score: 448.26, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1176, number_of_instances: 1504, precision: 0.355, predictive_accuracy: 0.5426, prior_entropy: 2.6539, recall: 0.5426, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2653, root_relative_squared_error: 1.0951, scimark_benchmark: 1351.788, usercpu_time_millis: 940, usercpu_time_millis_training: 940,

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