Task
Supervised Classification on mammography

Supervised Classification on mammography

Task 3483 Supervised Classification mammography 151 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9828, kappa: 0.5934, kb_relative_information_score: 1501.6872, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.984, prior_entropy: 0.1598, recall: 0.984, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.9814, kappa: 0.5905, kb_relative_information_score: 3985.5574, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 0.1598, recall: 0.9814, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9562, kappa: -0.0045, kb_relative_information_score: -4862.8184, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9544, predictive_accuracy: 0.9581, prior_entropy: 0.1598, recall: 0.9581, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.2048, root_relative_squared_error: 1.359, scimark_benchmark: 1697.6783, usercpu_time_millis: 2062.5, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 1343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.983, kappa: 0.5832, kb_relative_information_score: 5414.6142, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.8133, scimark_benchmark: 1862.8608, usercpu_time_millis: 1296.875, usercpu_time_millis_testing: 531.25, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9562, kappa: -0.0045, kb_relative_information_score: -4862.8184, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9544, predictive_accuracy: 0.9581, prior_entropy: 0.1598, recall: 0.9581, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.2048, root_relative_squared_error: 1.359, scimark_benchmark: 1358.9177, usercpu_time_millis: 3710, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.983, kappa: 0.5832, kb_relative_information_score: 5414.6142, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.8133, scimark_benchmark: 1590.5707, usercpu_time_millis: 1740, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9836, kappa: 0.6286, kb_relative_information_score: 3315.6412, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.739, scimark_benchmark: 1918.4916, usercpu_time_millis: 26718.75, usercpu_time_millis_training: 26718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9828, kappa: 0.5948, kb_relative_information_score: -60.1356, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7461, scimark_benchmark: 1918.4916, usercpu_time_millis: 25343.75, usercpu_time_millis_training: 25343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.9835, kappa: 0.5942, kb_relative_information_score: 5619.48, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9855, prior_entropy: 0.1598, recall: 0.9855, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.7987, scimark_benchmark: 1854.0453, usercpu_time_millis: 1656.25, usercpu_time_millis_testing: 234.375, usercpu_time_millis_training: 1421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.9835, kappa: 0.5942, kb_relative_information_score: 5619.48, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9855, prior_entropy: 0.1598, recall: 0.9855, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.7987, scimark_benchmark: 1742.8208, usercpu_time_millis: 1687.5, usercpu_time_millis_testing: 296.875, usercpu_time_millis_training: 1390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.9785, kappa: 0.4458, kb_relative_information_score: 4390.2854, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9798, predictive_accuracy: 0.9823, prior_entropy: 0.1598, recall: 0.9823, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.883, scimark_benchmark: 1377.4309, usercpu_time_millis: 2593.75, usercpu_time_millis_testing: 453.125, usercpu_time_millis_training: 2140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9828, kappa: 0.5934, kb_relative_information_score: 1501.6872, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.984, prior_entropy: 0.1598, recall: 0.984, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.726, scimark_benchmark: 1320.1271, usercpu_time_millis: 7960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9829, kappa: 0.5962, kb_relative_information_score: -441.4206, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9842, prior_entropy: 0.1598, recall: 0.9842, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.7448, scimark_benchmark: 1416.417, usercpu_time_millis: 2859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2843.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1437, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806, scimark_benchmark: 1291.5086, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.9717, kappa: 0.2143, kb_relative_information_score: 3331.8123, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.1598, recall: 0.9795, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.9496, scimark_benchmark: 1333.6954, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.9779, kappa: 0.4285, kb_relative_information_score: 4253.7082, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9819, prior_entropy: 0.1598, recall: 0.9819, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.8919, scimark_benchmark: 1618.1738, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.983, kappa: 0.6073, kb_relative_information_score: 3028.6203, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9825, predictive_accuracy: 0.9839, prior_entropy: 0.1598, recall: 0.9839, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7459, scimark_benchmark: 1744.8652, usercpu_time_millis: 2562.5, usercpu_time_millis_training: 2562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.981, kappa: 0.5255, kb_relative_information_score: -3571.2903, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9813, predictive_accuracy: 0.9835, prior_entropy: 0.1598, recall: 0.9835, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.76, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9828, kappa: 0.6091, kb_relative_information_score: 4695.8924, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.858, scimark_benchmark: 1744.8652, usercpu_time_millis: 7140.625, usercpu_time_millis_testing: 7125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9825, kappa: 0.5783, kb_relative_information_score: -657.5386, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9821, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.7506, scimark_benchmark: 1744.8652, usercpu_time_millis: 1203.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9845, kappa: 0.6327, kb_relative_information_score: 4850.8654, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9841, predictive_accuracy: 0.9856, prior_entropy: 0.1598, recall: 0.9856, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.7612, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.982, kappa: 0.5549, kb_relative_information_score: 727.2898, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9822, predictive_accuracy: 0.9843, prior_entropy: 0.1598, recall: 0.9843, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.7881, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9868, kappa: 0.6798, kb_relative_information_score: -186.3412, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9872, predictive_accuracy: 0.9881, prior_entropy: 0.1598, recall: 0.9881, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.6543, scimark_benchmark: 1744.8652, usercpu_time_millis: 2640.625, usercpu_time_millis_testing: 421.875, usercpu_time_millis_training: 2218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.8668, kappa: 0.0581, kb_relative_information_score: -71981.1681, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.963, predictive_accuracy: 0.7961, prior_entropy: 0.1598, recall: 0.7961, relative_absolute_error: 4.4965, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.426, root_relative_squared_error: 2.8271, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9836, kappa: 0.6073, kb_relative_information_score: 348.7695, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9833, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.7873, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1437, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.9717, kappa: 0.2143, kb_relative_information_score: 3331.8123, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.1598, recall: 0.9795, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.9496, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.9779, kappa: 0.4285, kb_relative_information_score: 4253.7082, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9819, prior_entropy: 0.1598, recall: 0.9819, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.8919, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.983, kappa: 0.6073, kb_relative_information_score: 3028.6211, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9825, predictive_accuracy: 0.9839, prior_entropy: 0.1598, recall: 0.9839, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7459, scimark_benchmark: 1744.8652, usercpu_time_millis: 2875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.981, kappa: 0.5255, kb_relative_information_score: -3571.2903, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9813, predictive_accuracy: 0.9835, prior_entropy: 0.1598, recall: 0.9835, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.76, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9828, kappa: 0.6091, kb_relative_information_score: 4695.8924, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.858, scimark_benchmark: 1744.8652, usercpu_time_millis: 7078.125, usercpu_time_millis_testing: 7046.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9825, kappa: 0.5783, kb_relative_information_score: -657.5386, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9821, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.7506, scimark_benchmark: 1744.8652, usercpu_time_millis: 1140.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.9845, kappa: 0.6308, kb_relative_information_score: 4863.4839, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9843, predictive_accuracy: 0.9858, prior_entropy: 0.1598, recall: 0.9858, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.115, root_relative_squared_error: 0.7631, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.982, kappa: 0.5549, kb_relative_information_score: 727.2898, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9822, predictive_accuracy: 0.9843, prior_entropy: 0.1598, recall: 0.9843, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.7881, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9865, kappa: 0.672, kb_relative_information_score: -193.9197, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9871, predictive_accuracy: 0.9879, prior_entropy: 0.1598, recall: 0.9879, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.6553, scimark_benchmark: 1744.8652, usercpu_time_millis: 4093.75, usercpu_time_millis_testing: 625, usercpu_time_millis_training: 3468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.8668, kappa: 0.0581, kb_relative_information_score: -71981.1681, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.963, predictive_accuracy: 0.7961, prior_entropy: 0.1598, recall: 0.7961, relative_absolute_error: 4.4965, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.426, root_relative_squared_error: 2.8271, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9836, kappa: 0.6073, kb_relative_information_score: 348.7695, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9833, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.7873, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9825, kappa: 0.5783, kb_relative_information_score: -657.5386, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9821, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.7506, scimark_benchmark: 1788.6668, usercpu_time_millis: 1062.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.983, kappa: 0.6073, kb_relative_information_score: 3028.6607, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9825, predictive_accuracy: 0.9839, prior_entropy: 0.1598, recall: 0.9839, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7459, scimark_benchmark: 1788.6668, usercpu_time_millis: 2484.375, usercpu_time_millis_training: 2484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9812, kappa: 0.5246, kb_relative_information_score: -4321.69, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.7872, scimark_benchmark: 1788.6668, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.9837, kappa: 0.6021, kb_relative_information_score: 4500.4137, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9838, predictive_accuracy: 0.9854, prior_entropy: 0.1598, recall: 0.9854, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.7779, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9811, kappa: 0.5363, kb_relative_information_score: -361.1781, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.981, predictive_accuracy: 0.9834, prior_entropy: 0.1598, recall: 0.9834, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.7919, scimark_benchmark: 1788.6668, usercpu_time_millis: 2078.125, usercpu_time_millis_training: 2078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.9804, kappa: 0.5068, kb_relative_information_score: -4296.7325, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9809, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.7889, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.9694, kappa: 0.1394, kb_relative_information_score: 2922.0807, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9779, predictive_accuracy: 0.9784, prior_entropy: 0.1598, recall: 0.9784, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.9742, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.9715, kappa: 0.2083, kb_relative_information_score: 3297.668, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9794, prior_entropy: 0.1598, recall: 0.9794, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.9517, scimark_benchmark: 895.9789, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.981, kappa: 0.5255, kb_relative_information_score: -3571.2903, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9813, predictive_accuracy: 0.9835, prior_entropy: 0.1598, recall: 0.9835, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.76, scimark_benchmark: 935.7982, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.9844, kappa: 0.6346, kb_relative_information_score: 4735.063, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9853, prior_entropy: 0.1598, recall: 0.9853, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.7653, scimark_benchmark: 942.2566, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.975, kappa: 0.3235, kb_relative_information_score: 3912.2653, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.1598, recall: 0.981, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.9137, scimark_benchmark: 1860.4354, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.9779, kappa: 0.4285, kb_relative_information_score: 4253.7082, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9819, prior_entropy: 0.1598, recall: 0.9819, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.8919, scimark_benchmark: 1860.4354, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9719, kappa: 0.4561, kb_relative_information_score: -6240.3724, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9764, predictive_accuracy: 0.9685, prior_entropy: 0.1598, recall: 0.9685, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1646, root_relative_squared_error: 1.0922, scimark_benchmark: 1860.4354, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1437, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.9778, kappa: 0.4184, kb_relative_information_score: 2216.6055, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9799, predictive_accuracy: 0.9821, prior_entropy: 0.1598, recall: 0.9821, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.127, root_relative_squared_error: 0.8425, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.8668, kappa: 0.0581, kb_relative_information_score: -71981.1681, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.963, predictive_accuracy: 0.7961, prior_entropy: 0.1598, recall: 0.7961, relative_absolute_error: 4.4965, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.426, root_relative_squared_error: 2.8271, scimark_benchmark: 1860.4354, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9846, kappa: 0.6373, kb_relative_information_score: 740.4498, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9843, predictive_accuracy: 0.9857, prior_entropy: 0.1598, recall: 0.9857, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.7336, scimark_benchmark: 1860.4354, usercpu_time_millis: 1328.125, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9867, kappa: 0.6784, kb_relative_information_score: 51.6448, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9873, predictive_accuracy: 0.9881, prior_entropy: 0.1598, recall: 0.9881, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.6527, scimark_benchmark: 1860.4354, usercpu_time_millis: 2031.25, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 1765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9816, kappa: 0.537, kb_relative_information_score: -815.3153, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9843, prior_entropy: 0.1598, recall: 0.9843, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.7906, scimark_benchmark: 1860.4354, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.982, kappa: 0.5542, kb_relative_information_score: 253.3992, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9844, prior_entropy: 0.1598, recall: 0.9844, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.7901, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.9818, kappa: 0.5849, kb_relative_information_score: 3923.6011, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9813, predictive_accuracy: 0.9824, prior_entropy: 0.1598, recall: 0.9824, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.886, scimark_benchmark: 1860.4354, usercpu_time_millis: 6296.875, usercpu_time_millis_testing: 6265.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9828, kappa: 0.6091, kb_relative_information_score: 4695.8924, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.858, scimark_benchmark: 1860.4354, usercpu_time_millis: 5765.625, usercpu_time_millis_testing: 5765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.9825, kappa: 0.5559, kb_relative_information_score: 110.0032, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9842, predictive_accuracy: 0.9852, prior_entropy: 0.1598, recall: 0.9852, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.7712, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9834, kappa: 0.6041, kb_relative_information_score: 334.2371, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.9849, prior_entropy: 0.1598, recall: 0.9849, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.7889, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.9813, kappa: 0.5326, kb_relative_information_score: -3683.1519, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.982, predictive_accuracy: 0.984, prior_entropy: 0.1598, recall: 0.984, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.7742, scimark_benchmark: 1840.6094, usercpu_time_millis: 6234.375, usercpu_time_millis_testing: 6203.125, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.9825, kappa: 0.5686, kb_relative_information_score: 2469.2811, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9829, predictive_accuracy: 0.9847, prior_entropy: 0.1598, recall: 0.9847, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.8057, scimark_benchmark: 1840.6094, usercpu_time_millis: 5453.125, usercpu_time_millis_testing: 5421.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.9834, kappa: 0.5858, kb_relative_information_score: 3885.9424, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9843, predictive_accuracy: 0.9856, prior_entropy: 0.1598, recall: 0.9856, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.7575, scimark_benchmark: 1840.6094, usercpu_time_millis: 6031.25, usercpu_time_millis_testing: 6031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9838, kappa: 0.6052, kb_relative_information_score: 162.3566, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9856, prior_entropy: 0.1598, recall: 0.9856, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.7096, scimark_benchmark: 1873.1108, usercpu_time_millis: 7046.875, usercpu_time_millis_testing: 7046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.9813, kappa: 0.5457, kb_relative_information_score: -469.6959, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.981, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.7792, scimark_benchmark: 1873.1108, usercpu_time_millis: 6109.375, usercpu_time_millis_testing: 6078.125, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9844, kappa: 0.6293, kb_relative_information_score: 1678.9055, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9842, predictive_accuracy: 0.9857, prior_entropy: 0.1598, recall: 0.9857, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.7226, scimark_benchmark: 1873.1108, usercpu_time_millis: 6734.375, usercpu_time_millis_testing: 6734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.9849, kappa: 0.6449, kb_relative_information_score: 5790.2015, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9846, predictive_accuracy: 0.986, prior_entropy: 0.1598, recall: 0.986, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9848, kappa: 0.6419, kb_relative_information_score: 5721.9129, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9844, predictive_accuracy: 0.9858, prior_entropy: 0.1598, recall: 0.9858, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.7913,

Metric:

Timeline

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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 integrations

From your own software

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

OpenML APIs

Discussions

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