Task
Supervised Classification on boston_corrected

Supervised Classification on boston_corrected

Task 3690 Supervised Classification boston_corrected 511 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8477, kappa: 0.6909, kb_relative_information_score: 311.5664, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8477, predictive_accuracy: 0.8478, prior_entropy: 0.9899, recall: 0.8478, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8459, kappa: 0.6876, kb_relative_information_score: 246.1718, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.846, predictive_accuracy: 0.8459, prior_entropy: 0.9899, recall: 0.8459, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8239, kappa: 0.6424, kb_relative_information_score: 314.2568, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8238, predictive_accuracy: 0.8241, prior_entropy: 0.9899, recall: 0.8241, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8573, kappa: 0.71, kb_relative_information_score: 324.0711, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8576, predictive_accuracy: 0.8577, prior_entropy: 0.9899, recall: 0.8577, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.824, kappa: 0.6427, kb_relative_information_score: 253.0251, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8239, predictive_accuracy: 0.8241, prior_entropy: 0.9899, recall: 0.8241, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8616, kappa: 0.7191, kb_relative_information_score: 317.1786, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8616, predictive_accuracy: 0.8617, prior_entropy: 0.9899, recall: 0.8617, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8575, kappa: 0.7105, kb_relative_information_score: 357.7667, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8575, predictive_accuracy: 0.8577, prior_entropy: 0.9899, recall: 0.8577, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8677, kappa: 0.732, kb_relative_information_score: 353.931, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.868, predictive_accuracy: 0.8676, prior_entropy: 0.9899, recall: 0.8676, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.838, kappa: 0.6716, kb_relative_information_score: 334.1192, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8381, predictive_accuracy: 0.8379, prior_entropy: 0.9899, recall: 0.8379, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8401, kappa: 0.676, kb_relative_information_score: 334.6031, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8404, predictive_accuracy: 0.8399, prior_entropy: 0.9899, recall: 0.8399, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8372, kappa: 0.6687, kb_relative_information_score: 335.9341, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8381, predictive_accuracy: 0.8379, prior_entropy: 0.9899, recall: 0.8379, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.848, kappa: 0.6923, kb_relative_information_score: 298.2213, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8486, predictive_accuracy: 0.8478, prior_entropy: 0.9899, recall: 0.8478, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8336, kappa: 0.662, kb_relative_information_score: 332.5846, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9899, recall: 0.834, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8675, kappa: 0.731, kb_relative_information_score: 361.2684, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9899, recall: 0.8676, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8517, kappa: 0.6992, kb_relative_information_score: 316.1018, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8517, predictive_accuracy: 0.8518, prior_entropy: 0.9899, recall: 0.8518, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8515, kappa: 0.6983, kb_relative_information_score: 299.4914, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8516, predictive_accuracy: 0.8518, prior_entropy: 0.9899, recall: 0.8518, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.4012, kb_relative_information_score: -0.0385, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.3128, predictive_accuracy: 0.5593, prior_entropy: 0.9899, recall: 0.5593, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4965, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8635, kappa: 0.7227, kb_relative_information_score: 320.625, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8635, predictive_accuracy: 0.8636, prior_entropy: 0.9899, recall: 0.8636, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8637, kappa: 0.7238, kb_relative_information_score: 315.287, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9899, recall: 0.8636, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8793, kappa: 0.7549, kb_relative_information_score: 332.7515, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8793, predictive_accuracy: 0.8794, prior_entropy: 0.9899, recall: 0.8794, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8352, kappa: 0.6649, kb_relative_information_score: 279.0789, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9899, recall: 0.836, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8336, kappa: 0.662, kb_relative_information_score: 332.6792, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9899, recall: 0.834, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8658, kappa: 0.7282, kb_relative_information_score: 343.6045, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8662, predictive_accuracy: 0.8656, prior_entropy: 0.9899, recall: 0.8656, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8444, kappa: 0.6861, kb_relative_information_score: 345.4279, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8472, predictive_accuracy: 0.8439, prior_entropy: 0.9899, recall: 0.8439, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8796, kappa: 0.756, kb_relative_information_score: 381.4672, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8799, predictive_accuracy: 0.8794, prior_entropy: 0.9899, recall: 0.8794, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8617, kappa: 0.7194, kb_relative_information_score: 363.0995, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8617, predictive_accuracy: 0.8617, prior_entropy: 0.9899, recall: 0.8617, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8616, kappa: 0.7191, kb_relative_information_score: 320.773, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8616, predictive_accuracy: 0.8617, prior_entropy: 0.9899, recall: 0.8617, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8336, kappa: 0.662, kb_relative_information_score: 330.1331, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9899, recall: 0.834, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8776, kappa: 0.7519, kb_relative_information_score: 379.4263, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8778, predictive_accuracy: 0.8775, prior_entropy: 0.9899, recall: 0.8775, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8352, kappa: 0.6649, kb_relative_information_score: 279.0789, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9899, recall: 0.836, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8501, kappa: 0.697, kb_relative_information_score: 346.0265, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8514, predictive_accuracy: 0.8498, prior_entropy: 0.9899, recall: 0.8498, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8336, kappa: 0.662, kb_relative_information_score: 332.5331, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9899, recall: 0.834, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.584, kappa: 0.2159, kb_relative_information_score: 46.8468, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7051, predictive_accuracy: 0.6423, prior_entropy: 0.9899, recall: 0.6423, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8631, kappa: 0.7217, kb_relative_information_score: 329.6248, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8638, predictive_accuracy: 0.8636, prior_entropy: 0.9899, recall: 0.8636, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8084, kappa: 0.6117, kb_relative_information_score: 307.9965, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8086, predictive_accuracy: 0.8083, prior_entropy: 0.9899, recall: 0.8083, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7406, kappa: 0.4765, kb_relative_information_score: 248.8118, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7664, predictive_accuracy: 0.751, prior_entropy: 0.9899, recall: 0.751, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0051, scimark_benchmark: 1959.6455, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4012, kb_relative_information_score: 50.8491, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.3128, predictive_accuracy: 0.5593, prior_entropy: 0.9899, recall: 0.5593, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3372, scimark_benchmark: 1959.6455, 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: 0.7385, f_measure: 0.7428, kappa: 0.4778, kb_relative_information_score: 240.6484, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7427, predictive_accuracy: 0.7431, prior_entropy: 0.9899, recall: 0.7431, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0209, scimark_benchmark: 1631.1992, usercpu_time_millis: 6984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 6968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4012, kb_relative_information_score: 50.8491, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.3128, predictive_accuracy: 0.5593, prior_entropy: 0.9899, recall: 0.5593, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3372, scimark_benchmark: 1343.4232, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7406, kappa: 0.4765, kb_relative_information_score: 248.8118, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7664, predictive_accuracy: 0.751, prior_entropy: 0.9899, recall: 0.751, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0051, scimark_benchmark: 1373.3901, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7428, kappa: 0.4778, kb_relative_information_score: 240.6484, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7427, predictive_accuracy: 0.7431, prior_entropy: 0.9899, recall: 0.7431, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0209, scimark_benchmark: 1673.503, usercpu_time_millis: 5770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8638, kappa: 0.7243, kb_relative_information_score: 329.7202, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8644, predictive_accuracy: 0.8636, prior_entropy: 0.9899, recall: 0.8636, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7067, scimark_benchmark: 1908.2191, usercpu_time_millis: 8921.875, usercpu_time_millis_training: 8921.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8514, kappa: 0.698, kb_relative_information_score: 352.8952, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8516, predictive_accuracy: 0.8518, prior_entropy: 0.9899, recall: 0.8518, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7755, scimark_benchmark: 1827.4462, usercpu_time_millis: 4781.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4765.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8756, kappa: 0.748, kb_relative_information_score: 377.3855, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8759, predictive_accuracy: 0.8755, prior_entropy: 0.9899, recall: 0.8755, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7107, scimark_benchmark: 1386.4019, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8477, kappa: 0.6909, kb_relative_information_score: 311.5664, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8477, predictive_accuracy: 0.8478, prior_entropy: 0.9899, recall: 0.8478, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.708, scimark_benchmark: 969.0918, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8592, kappa: 0.7139, kb_relative_information_score: 319.9827, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8596, predictive_accuracy: 0.8597, prior_entropy: 0.9899, recall: 0.8597, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.636, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8326, kappa: 0.6597, kb_relative_information_score: 327.7929, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8448, predictive_accuracy: 0.836, prior_entropy: 0.9899, recall: 0.836, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7102, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8186, kappa: 0.6311, kb_relative_information_score: 319.7037, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8296, predictive_accuracy: 0.8221, prior_entropy: 0.9899, recall: 0.8221, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7324, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8325, kappa: 0.659, kb_relative_information_score: 276.049, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8356, predictive_accuracy: 0.834, prior_entropy: 0.9899, recall: 0.834, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6954, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8735, kappa: 0.7432, kb_relative_information_score: 335.1856, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 0.9899, recall: 0.8735, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6399, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8697, kappa: 0.7359, kb_relative_information_score: 312.4772, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9899, recall: 0.8696, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6714, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7443, kappa: 0.4843, kb_relative_information_score: 252.8935, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7723, predictive_accuracy: 0.7549, prior_entropy: 0.9899, recall: 0.7549, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8652, kappa: 0.7261, kb_relative_information_score: 367.1812, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9899, recall: 0.8656, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7384, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8736, kappa: 0.7437, kb_relative_information_score: 375.3446, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8737, predictive_accuracy: 0.8735, prior_entropy: 0.9899, recall: 0.8735, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7163, scimark_benchmark: 1779.392, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8553, kappa: 0.7058, kb_relative_information_score: 317.2565, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8557, predictive_accuracy: 0.8557, prior_entropy: 0.9899, recall: 0.8557, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6707, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8336, kappa: 0.662, kb_relative_information_score: 294.1742, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9899, recall: 0.834, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7307, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8399, kappa: 0.6751, kb_relative_information_score: 337.3503, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8399, predictive_accuracy: 0.8399, prior_entropy: 0.9899, recall: 0.8399, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7408, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.824, kappa: 0.6427, kb_relative_information_score: 253.0251, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8239, predictive_accuracy: 0.8241, prior_entropy: 0.9899, recall: 0.8241, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8283, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8136, kappa: 0.621, kb_relative_information_score: 291.6515, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8139, predictive_accuracy: 0.8142, prior_entropy: 0.9899, recall: 0.8142, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7487, 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: 0.8645, f_measure: 0.8352, kappa: 0.6649, kb_relative_information_score: 279.0789, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9899, recall: 0.836, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7323, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8652, kappa: 0.7261, kb_relative_information_score: 333.2882, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9899, recall: 0.8656, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6143, scimark_benchmark: 1838.8826, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8616, kappa: 0.7191, kb_relative_information_score: 320.773, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8616, predictive_accuracy: 0.8617, prior_entropy: 0.9899, recall: 0.8617, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6258, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8381, kappa: 0.6719, kb_relative_information_score: 337.5184, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.8383, predictive_accuracy: 0.8379, prior_entropy: 0.9899, recall: 0.8379, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8091, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs