Task
Supervised Classification on arsenic-female-bladder

Supervised Classification on arsenic-female-bladder

Task 3812 Supervised Classification arsenic-female-bladder 578 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: 0.7926, f_measure: 0.8195, kappa: 0.1463, kb_relative_information_score: 128.4422, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8484, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.8242, kappa: 0.2315, kb_relative_information_score: 58.6631, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.815, predictive_accuracy: 0.839, prior_entropy: 0.5956, recall: 0.839, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.8191, kappa: 0.1599, kb_relative_information_score: -15.7918, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.815, predictive_accuracy: 0.8551, prior_entropy: 0.5956, recall: 0.8551, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 114.023, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.811, kappa: 0.1049, kb_relative_information_score: 27.7335, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8273, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.8258, kappa: 0.273, kb_relative_information_score: -20.3987, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.822, predictive_accuracy: 0.8301, prior_entropy: 0.5956, recall: 0.8301, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.8264, kappa: 0.2849, kb_relative_information_score: 71.3743, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8283, prior_entropy: 0.5956, recall: 0.8283, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4111, root_relative_squared_error: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8308, kappa: 0.2921, kb_relative_information_score: 21.8464, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8268, predictive_accuracy: 0.8354, prior_entropy: 0.5956, recall: 0.8354, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.8076, kappa: 0.1162, kb_relative_information_score: 12.4503, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7931, predictive_accuracy: 0.8408, prior_entropy: 0.5956, recall: 0.8408, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8077, kappa: 0.1418, kb_relative_information_score: 22.7281, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7939, predictive_accuracy: 0.8301, prior_entropy: 0.5956, recall: 0.8301, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 120.2606, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.8414, kappa: 0.2954, kb_relative_information_score: -17.5648, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.835, predictive_accuracy: 0.8587, prior_entropy: 0.5956, recall: 0.8587, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -75.012, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: 150.9166, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7908, kb_relative_information_score: -33.1132, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8183, kappa: 0.1419, kb_relative_information_score: 18.0222, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8395, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7908, kb_relative_information_score: -1.0071, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -82.6334, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.8414, kappa: 0.2954, kb_relative_information_score: -15.2802, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.835, predictive_accuracy: 0.8587, prior_entropy: 0.5956, recall: 0.8587, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.8518, kappa: 0.3477, kb_relative_information_score: -3.3414, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8467, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.328, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.8278, kappa: 0.2886, kb_relative_information_score: 21.9117, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8256, predictive_accuracy: 0.8301, prior_entropy: 0.5956, recall: 0.8301, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7908, kb_relative_information_score: 1.4355, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 148.6427, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.8341, kappa: 0.3112, kb_relative_information_score: 6.2256, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8313, predictive_accuracy: 0.8372, prior_entropy: 0.5956, recall: 0.8372, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7908, kb_relative_information_score: 1.4355, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 122.7103, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.8329, kappa: 0.2835, kb_relative_information_score: -31.8127, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8262, predictive_accuracy: 0.8426, prior_entropy: 0.5956, recall: 0.8426, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 196.2939, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 196.2939, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 145.002, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 196.2939, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7908, kb_relative_information_score: -1.0071, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.7908, kb_relative_information_score: -0.641, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.8253, kappa: 0.224, kb_relative_information_score: -6.8248, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8156, predictive_accuracy: 0.8444, prior_entropy: 0.5956, recall: 0.8444, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.8126, kappa: 0.2043, kb_relative_information_score: 49.3984, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8057, predictive_accuracy: 0.8211, prior_entropy: 0.5956, recall: 0.8211, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.423, root_relative_squared_error: 1.2078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, f_measure: 0.4997, kappa: -0.0196, kb_relative_information_score: -1070.0467, mean_absolute_error: 0.5742, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7419, predictive_accuracy: 0.4258, prior_entropy: 0.5956, recall: 0.4258, relative_absolute_error: 2.3327, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.7578, root_relative_squared_error: 2.1639, scimark_benchmark: 1280.301, usercpu_time_millis: 36234.375, usercpu_time_millis_training: 36234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.5547, kappa: 0.0044, kb_relative_information_score: -913.0204, mean_absolute_error: 0.5188, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7571, predictive_accuracy: 0.4812, prior_entropy: 0.5956, recall: 0.4812, relative_absolute_error: 2.1074, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.7203, root_relative_squared_error: 2.0568, scimark_benchmark: 1280.301, usercpu_time_millis: 27031.25, usercpu_time_millis_training: 27031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.79, kappa: -0.0035, kb_relative_information_score: 145.6403, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.734, predictive_accuracy: 0.8551, prior_entropy: 0.5956, recall: 0.8551, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.087, scimark_benchmark: 1461.2356, usercpu_time_millis: 125, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7908, kb_relative_information_score: 150.7057, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0803, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7988, kappa: 0.2635, kb_relative_information_score: -47.7118, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8234, predictive_accuracy: 0.7818, prior_entropy: 0.5956, recall: 0.7818, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3638, root_relative_squared_error: 1.0388, scimark_benchmark: 1787.9841, usercpu_time_millis: 4109.375, usercpu_time_millis_training: 4109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7988, kappa: 0.2635, kb_relative_information_score: -47.7118, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8234, predictive_accuracy: 0.7818, prior_entropy: 0.5956, recall: 0.7818, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3638, root_relative_squared_error: 1.0388, scimark_benchmark: 1700.4412, usercpu_time_millis: 3770, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7908, kb_relative_information_score: 150.7057, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0803, scimark_benchmark: 1630.0984, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, f_measure: 0.4997, kappa: -0.0196, kb_relative_information_score: -1070.0467, mean_absolute_error: 0.5742, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7419, predictive_accuracy: 0.4258, prior_entropy: 0.5956, recall: 0.4258, relative_absolute_error: 2.3327, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.7578, root_relative_squared_error: 2.1639, scimark_benchmark: 1385.3505, usercpu_time_millis: 36820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 36810,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.8336, kappa: 0.2173, kb_relative_information_score: 12.6009, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8643, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.8984, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.8336, kappa: 0.2173, kb_relative_information_score: 12.6009, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8643, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.8984, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8336, kappa: 0.2173, kb_relative_information_score: 1.5535, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8643, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.9191, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.8054, kappa: 0.085, kb_relative_information_score: 13.9211, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7976, predictive_accuracy: 0.8515, prior_entropy: 0.5956, recall: 0.8515, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3513, root_relative_squared_error: 1.0032, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.813, kappa: 0.2335, kb_relative_information_score: -73.934, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.812, predictive_accuracy: 0.814, prior_entropy: 0.5956, recall: 0.814, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.0228, scimark_benchmark: 1788.6668, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.8241, kappa: 0.1985, kb_relative_information_score: -0.6674, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.816, predictive_accuracy: 0.8515, prior_entropy: 0.5956, recall: 0.8515, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9553, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.8243, kappa: 0.1691, kb_relative_information_score: 186.1632, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.863, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.0319, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 196.2939, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0177, scimark_benchmark: 1527.2257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.8254, kappa: 0.2298, kb_relative_information_score: 15.6121, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8159, predictive_accuracy: 0.8426, prior_entropy: 0.5956, recall: 0.8426, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.953, scimark_benchmark: 1019.7904, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.811, kappa: 0.1049, kb_relative_information_score: 27.7335, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8273, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.9887, scimark_benchmark: 893.0117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.8219, kappa: 0.1599, kb_relative_information_score: -67.4426, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8445, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9687, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.8261, kappa: 0.1999, kb_relative_information_score: 0.8529, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8219, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3697, root_relative_squared_error: 1.0557, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.8365, kappa: 0.2506, kb_relative_information_score: 34.6287, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8359, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3549, root_relative_squared_error: 1.0135, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -81.4086, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9685, 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: 0.7297, f_measure: 0.8413, kappa: 0.2999, kb_relative_information_score: -19.2865, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8345, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.341, root_relative_squared_error: 0.9738, 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: 0.7817, f_measure: 0.8518, kappa: 0.3477, kb_relative_information_score: -3.3414, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8467, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.328, root_relative_squared_error: 0.9367, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.8211, kappa: 0.1722, kb_relative_information_score: 145.6403, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8165, predictive_accuracy: 0.8551, prior_entropy: 0.5956, recall: 0.8551, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.087, usercpu_time_millis: 247.463, usercpu_time_millis_testing: 2.938, usercpu_time_millis_training: 244.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.8255, kappa: 0.1737, kb_relative_information_score: 191.2285, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8749, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.0248, usercpu_time_millis: 109.884, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 106.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.8318, kappa: 0.2751, kb_relative_information_score: 110.1828, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8245, predictive_accuracy: 0.8426, prior_entropy: 0.5956, recall: 0.8426, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.133,

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