Task
Supervised Classification on fertility

Supervised Classification on fertility

Task 9984 Supervised Classification fertility 419 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: -40.3245, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2921, kb_relative_information_score: -6.6842, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2169, number_of_instances: 100, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3302, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4356, kb_relative_information_score: -15.8954, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2169, number_of_instances: 100, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3293, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kb_relative_information_score: -150.1795, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.2169, number_of_instances: 100, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 1.5323, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3812, root_relative_squared_error: 1.1726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4044, f_measure: 0.8086, kappa: -0.0504, kb_relative_information_score: -13.0456, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7711, predictive_accuracy: 0.85, prior_entropy: 0.5504, recall: 0.85, relative_absolute_error: 1.0577, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.8467, kappa: 0.1379, kb_relative_information_score: -11.9832, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.9022, predictive_accuracy: 0.89, prior_entropy: 0.5504, recall: 0.89, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.822, kappa: 0.0506, kb_relative_information_score: -33.5259, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8021, predictive_accuracy: 0.85, prior_entropy: 0.5504, recall: 0.85, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.1281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4219, f_measure: 0.8238, kb_relative_information_score: -13.0598, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4612, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -6.2042, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3549, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4181, f_measure: 0.8238, kb_relative_information_score: -6.1401, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.8675, kappa: 0.3615, kb_relative_information_score: -17.3564, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8653, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8405, kappa: 0.2038, kb_relative_information_score: 5.7205, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.833, predictive_accuracy: 0.85, prior_entropy: 0.5504, recall: 0.85, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3791, root_relative_squared_error: 1.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4725, f_measure: 0.7936, kappa: 0.0402, kb_relative_information_score: -44.1732, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7973, predictive_accuracy: 0.79, prior_entropy: 0.5504, recall: 0.79, relative_absolute_error: 1.0642, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.8128, kappa: 0.0816, kb_relative_information_score: -10.2109, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8062, predictive_accuracy: 0.82, prior_entropy: 0.5504, recall: 0.82, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3695, root_relative_squared_error: 1.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.8238, kb_relative_information_score: -20.7252, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.8238, kb_relative_information_score: 21.9916, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: -23.5706, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.8238, kb_relative_information_score: -29.3722, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: -3.5994, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.8342, kappa: 0.0896, kb_relative_information_score: -21.0983, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8202, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3394, root_relative_squared_error: 1.0441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4787, f_measure: 0.8238, kb_relative_information_score: 1.8909, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: -3.5994, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: -22.1133, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: 1.5647, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.8238, kb_relative_information_score: -23.6753, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -2.5887, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -23.2701, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.839, kappa: 0.1546, kb_relative_information_score: -27.1127, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8264, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.8467, kappa: 0.1379, kb_relative_information_score: -3.2597, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.9022, predictive_accuracy: 0.89, prior_entropy: 0.5504, recall: 0.89, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.31, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4801, f_measure: 0.8086, kappa: -0.0504, kb_relative_information_score: -28.7313, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7711, predictive_accuracy: 0.85, prior_entropy: 0.5504, recall: 0.85, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3517, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.8035, kappa: -0.0638, kb_relative_information_score: -32.3914, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.77, predictive_accuracy: 0.84, prior_entropy: 0.5504, recall: 0.84, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3509, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.8238, kb_relative_information_score: -20.878, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3456, root_relative_squared_error: 1.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -2.5887, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8238, kb_relative_information_score: -3.3727, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3265, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: -31.8869, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3343, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.7549, kappa: -0.0212, kb_relative_information_score: -63.1357, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.784, predictive_accuracy: 0.73, prior_entropy: 0.5504, recall: 0.73, relative_absolute_error: 1.2681, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.522, root_relative_squared_error: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.8128, kappa: 0.0816, kb_relative_information_score: -7.3827, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8062, predictive_accuracy: 0.82, prior_entropy: 0.5504, recall: 0.82, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.3052, usercpu_time_millis: 350.147, usercpu_time_millis_testing: 4.299, usercpu_time_millis_training: 345.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8404, kappa: 0.1124, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 10.869, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 10.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.7932, kappa: 0.0894, kb_relative_information_score: -30.4106, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8082, predictive_accuracy: 0.78, prior_entropy: 0.5504, recall: 0.78, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.469, root_relative_squared_error: 1.443, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 4.202, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 3.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 27.143, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 27.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 3.57, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 3.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.786, kappa: -0.0314, kb_relative_information_score: -24.6537, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7821, predictive_accuracy: 0.79, prior_entropy: 0.5504, recall: 0.79, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.4098, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.8086, kappa: -0.0504, kb_relative_information_score: 9.8883, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7711, predictive_accuracy: 0.85, prior_entropy: 0.5504, recall: 0.85, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.1915, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.8457, kappa: 0.1772, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8354, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.8526, kappa: 0.2021, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8483, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 4.191, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 2.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.8035, kappa: -0.0638, kb_relative_information_score: 4.1313, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.77, predictive_accuracy: 0.84, prior_entropy: 0.5504, recall: 0.84, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4, root_relative_squared_error: 1.2306, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.8526, kappa: 0.2021, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8483, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 1.267, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, f_measure: 0.839, kappa: 0.1546, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8264, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511, usercpu_time_millis: 14.639, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 14.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 0.754, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.7983, kappa: -0.0759, kb_relative_information_score: -1.6257, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7688, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.2685, usercpu_time_millis: 0.134, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.8336, kappa: 0.1837, kb_relative_information_score: 4.1313, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.828, predictive_accuracy: 0.84, prior_entropy: 0.5504, recall: 0.84, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4, root_relative_squared_error: 1.2306, usercpu_time_millis: 1.56, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.7983, kappa: -0.0759, kb_relative_information_score: -1.6257, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7688, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.2685, usercpu_time_millis: 0.138, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.7983, kappa: -0.0759, kb_relative_information_score: -1.6257, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7688, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.2685, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 0.518, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.7983, kappa: -0.0759, kb_relative_information_score: -1.6257, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7688, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.2685, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.091,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs