Task
Supervised Classification on BNG(breast-w)

Supervised Classification on BNG(breast-w)

Task 2142 Supervised Classification BNG(breast-w) 354 runs submitted
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  • mythbusting_1 study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.983, kappa: 0.9623, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4514, weighted_recall: 0.983, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.9287, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2437, unweighted_recall: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9861, kappa: 0.9692, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4514, weighted_recall: 0.9861, number_of_instances: 39366, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9287, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2234, unweighted_recall: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9761, kappa: 0.947, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4514, weighted_recall: 0.976, number_of_instances: 39366, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.9287, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.2856, unweighted_recall: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9768, kappa: 0.9485, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4514, weighted_recall: 0.9768, number_of_instances: 39366, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 0.9287, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3207, unweighted_recall: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9806, kappa: 0.957, kb_relative_information_score: 37594.3857, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 0.9287, recall: 0.9805, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9806, kappa: 0.957, kb_relative_information_score: 37594.3857, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 0.9287, recall: 0.9805, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9806, kappa: 0.957, kb_relative_information_score: 37594.3857, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 0.9287, recall: 0.9805, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9806, kappa: 0.957, kb_relative_information_score: 37594.3857, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 0.9287, recall: 0.9805, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.977, kappa: 0.949, kb_relative_information_score: 37272.9615, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9287, recall: 0.977, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 35245.8964, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9585, predictive_accuracy: 0.955, prior_entropy: 0.9287, recall: 0.955, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4331, scimark_benchmark: 1231.4155, usercpu_time_millis: 410, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9798, kappa: 0.9554, kb_relative_information_score: 37529.6384, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 0.9287, recall: 0.9798, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.142, root_relative_squared_error: 0.2989, scimark_benchmark: 1250.3502, usercpu_time_millis: 2740, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9797, kappa: 0.955, kb_relative_information_score: 37511.1391, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9287, recall: 0.9796, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3004, scimark_benchmark: 1618.1738, usercpu_time_millis: 3171.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 3140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9795, kappa: 0.9545, kb_relative_information_score: 36173.9591, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9287, recall: 0.9794, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2844, scimark_benchmark: 1744.8652, usercpu_time_millis: 10390.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 10359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.979, kappa: 0.9535, kb_relative_information_score: 36770.0142, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2654, scimark_benchmark: 1744.8652, usercpu_time_millis: 1312.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9779, kappa: 0.951, kb_relative_information_score: 37352.5561, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9287, recall: 0.9779, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3129, scimark_benchmark: 1744.8652, usercpu_time_millis: 94500, usercpu_time_millis_testing: 94234.375, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9844, kappa: 0.9653, kb_relative_information_score: 37508.4771, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.9287, recall: 0.9844, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.228, scimark_benchmark: 1744.8652, usercpu_time_millis: 11078.125, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 10984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9823, kappa: 0.9608, kb_relative_information_score: 37109.2966, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9823, predictive_accuracy: 0.9823, prior_entropy: 0.9287, recall: 0.9823, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2676, scimark_benchmark: 1744.8652, usercpu_time_millis: 9531.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9801, kappa: 0.956, kb_relative_information_score: 36990.4601, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9287, recall: 0.9801, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2727, scimark_benchmark: 1744.8652, usercpu_time_millis: 500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9864, kappa: 0.9699, kb_relative_information_score: 37405.5629, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9287, recall: 0.9864, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2191, scimark_benchmark: 1744.8652, usercpu_time_millis: 22843.75, usercpu_time_millis_testing: 1156.25, usercpu_time_millis_training: 21687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9534, kappa: 0.8959, kb_relative_information_score: 35224.2124, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 0.9287, recall: 0.954, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3984, scimark_benchmark: 1744.8652, usercpu_time_millis: 765.625, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.982, kappa: 0.9602, kb_relative_information_score: 37347.3337, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.9287, recall: 0.982, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.2685, scimark_benchmark: 1744.8652, usercpu_time_millis: 3765.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 3718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 35245.8964, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9585, predictive_accuracy: 0.955, prior_entropy: 0.9287, recall: 0.955, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4331, scimark_benchmark: 1744.8652, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 203.125, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9799, kappa: 0.9555, kb_relative_information_score: 37534.2632, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9287, recall: 0.9799, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2986, scimark_benchmark: 1744.8652, usercpu_time_millis: 1625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9797, kappa: 0.955, kb_relative_information_score: 37511.1391, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9287, recall: 0.9796, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3004, scimark_benchmark: 1744.8652, usercpu_time_millis: 2000, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9795, kappa: 0.9546, kb_relative_information_score: 36178.8401, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9287, recall: 0.9795, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2843, scimark_benchmark: 1744.8652, usercpu_time_millis: 9812.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.979, kappa: 0.9535, kb_relative_information_score: 36770.0142, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2654, scimark_benchmark: 1744.8652, usercpu_time_millis: 1218.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9779, kappa: 0.951, kb_relative_information_score: 37352.5561, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9287, recall: 0.9779, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3129, scimark_benchmark: 1744.8652, usercpu_time_millis: 83265.625, usercpu_time_millis_testing: 83062.5, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9844, kappa: 0.9653, kb_relative_information_score: 37508.4771, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.9287, recall: 0.9844, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.228, scimark_benchmark: 1744.8652, usercpu_time_millis: 10687.5, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 10625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.983, kappa: 0.9623, kb_relative_information_score: 37152.8444, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.9287, recall: 0.983, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2623, scimark_benchmark: 1744.8652, usercpu_time_millis: 13046.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 13031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.98, kappa: 0.9558, kb_relative_information_score: 36985.8917, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9287, recall: 0.98, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2733, scimark_benchmark: 1744.8652, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9863, kappa: 0.9696, kb_relative_information_score: 37398.5834, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9287, recall: 0.9863, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.22, scimark_benchmark: 1744.8652, usercpu_time_millis: 28578.125, usercpu_time_millis_testing: 1656.25, usercpu_time_millis_training: 26921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9534, kappa: 0.8959, kb_relative_information_score: 35224.3426, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 0.9287, recall: 0.954, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3984, scimark_benchmark: 1744.8652, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 546.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9844, kappa: 0.9653, kb_relative_information_score: 37508.4771, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.9287, recall: 0.9844, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.228, scimark_benchmark: 1788.6668, usercpu_time_millis: 11078.125, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 10984.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9779, kappa: 0.951, kb_relative_information_score: 37352.5561, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9287, recall: 0.9779, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3129, scimark_benchmark: 1851.1033, usercpu_time_millis: 64194.4115, usercpu_time_millis_testing: 64178.8114, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 35245.8964, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9585, predictive_accuracy: 0.955, prior_entropy: 0.9287, recall: 0.955, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4331, scimark_benchmark: 1851.1033, usercpu_time_millis: 468.003, usercpu_time_millis_testing: 140.4009, usercpu_time_millis_training: 327.6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 35245.8964, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9585, predictive_accuracy: 0.955, prior_entropy: 0.9287, recall: 0.955, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4331, scimark_benchmark: 1838.8826, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 109.2007, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5196, kb_relative_information_score: -0.1453, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.4751, root_relative_squared_error: 1, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5196, kb_relative_information_score: -0.1453, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.4751, root_relative_squared_error: 1, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 37934.3092, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 0.9287, recall: 0.9843, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.264, usercpu_time_millis: 13674.391, usercpu_time_millis_testing: 7691.763, usercpu_time_millis_training: 5982.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9866, kappa: 0.9704, kb_relative_information_score: 38147.0504, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 0.9287, recall: 0.9866, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2435, usercpu_time_millis: 3452.757, usercpu_time_millis_testing: 421.559, usercpu_time_millis_training: 3031.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9775, kappa: 0.9502, kb_relative_information_score: 37316.8972, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9775, predictive_accuracy: 0.9775, prior_entropy: 0.9287, recall: 0.9775, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3158, usercpu_time_millis: 2727.751, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 2726.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9747, kappa: 0.9438, kb_relative_information_score: 37071.7823, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9749, predictive_accuracy: 0.9748, prior_entropy: 0.9287, recall: 0.9748, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3341, usercpu_time_millis: 118.364, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 116.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9851, kappa: 0.9669, kb_relative_information_score: 38003.6813, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 0.9287, recall: 0.985, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2575, usercpu_time_millis: 121.226, usercpu_time_millis_testing: 3.399, usercpu_time_millis_training: 117.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9743, kappa: 0.943, kb_relative_information_score: 37020.9094, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 0.9287, recall: 0.9742, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3378, usercpu_time_millis: 7.19, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 6.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1762, kb_relative_information_score: -20340.5983, mean_absolute_error: 0.6559, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.1184, predictive_accuracy: 0.3441, prior_entropy: 0.9287, recall: 0.3441, relative_absolute_error: 1.453, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.8099, root_relative_squared_error: 1.7047, usercpu_time_millis: 12.363, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 12.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348, usercpu_time_millis: 10.012, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 9.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9736, kappa: 0.9412, kb_relative_information_score: 36967.7241, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9287, recall: 0.9737, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3416, usercpu_time_millis: 5.44, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 5.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 35860.0823, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 0.9287, recall: 0.9615, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4131, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9776, kappa: 0.9505, kb_relative_information_score: 37321.522, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 0.9287, recall: 0.9775, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3154, usercpu_time_millis: 108.154, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 107.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9742, kappa: 0.9428, kb_relative_information_score: 37025.5342, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9287, recall: 0.9743, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3375, usercpu_time_millis: 676.103, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 673.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9867, kappa: 0.9706, kb_relative_information_score: 38153.9876, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 0.9287, recall: 0.9867, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2429, usercpu_time_millis: 278.47, usercpu_time_millis_testing: 5.096, usercpu_time_millis_training: 273.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9865, kappa: 0.9701, kb_relative_information_score: 38133.176, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 0.9287, recall: 0.9865, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2449, usercpu_time_millis: 253.186, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 251.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9466, kappa: 0.8839, kb_relative_information_score: 34444.8907, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9513, predictive_accuracy: 0.9459, prior_entropy: 0.9287, recall: 0.9459, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4894, usercpu_time_millis: 2.958, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 2.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9791, kappa: 0.9536, kb_relative_information_score: 37460.2662, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.9287, recall: 0.9791, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3045, usercpu_time_millis: 10.662, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 10.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.973, kappa: 0.9399, kb_relative_information_score: 36916.8512, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9287, recall: 0.9731, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3452, usercpu_time_millis: 5.337, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 5.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9786, kappa: 0.9526, kb_relative_information_score: 37409.3933, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 0.9287, recall: 0.9785, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3086, usercpu_time_millis: 552, usercpu_time_millis_testing: 35.603, usercpu_time_millis_training: 516.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.979, kappa: 0.9535, kb_relative_information_score: 37455.6414, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3049, usercpu_time_millis: 34.099, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 33.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9826, kappa: 0.9615, kb_relative_information_score: 37781.6905, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 0.9287, recall: 0.9826, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2777, usercpu_time_millis: 21.354, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 20.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9602, kappa: 0.9114, kb_relative_information_score: 35769.8985, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 0.9287, recall: 0.9605, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4184, usercpu_time_millis: 22.666, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 22.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9114, kappa: 0.8035, kb_relative_information_score: 31318.5197, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9113, predictive_accuracy: 0.9116, prior_entropy: 0.9287, recall: 0.9116, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6258, usercpu_time_millis: 2.456, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 2.148,

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