OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -24.2757, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -935.4561, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 206.3549, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 170.1826, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.226, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 45.0337, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, kb_relative_information_score: -547.6955, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -337.4829, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9601, kappa: 0.5528, kb_relative_information_score: 897.9141, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.965, predictive_accuracy: 0.9663, prior_entropy: 0.3037, recall: 0.9663, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.936, kappa: 0.2476, kb_relative_information_score: 937.5719, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9385, predictive_accuracy: 0.9504, prior_entropy: 0.3037, recall: 0.9504, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: 447.6494, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2268, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 90.8061, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -670.7407, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -1964.0523, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.226, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9671, kappa: 0.6398, kb_relative_information_score: 1795.1868, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -1387.7116, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0332, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -244.7365, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -2241.9012, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0546, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.226, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, kb_relative_information_score: -1611.3908, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: 41.4527, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -1056.4079, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9615, kappa: 0.5773, kb_relative_information_score: 838.9967, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9637, predictive_accuracy: 0.9665, prior_entropy: 0.3037, recall: 0.9665, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9312, kappa: 0.1634, kb_relative_information_score: 1194.7185, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9461, predictive_accuracy: 0.9504, prior_entropy: 0.3037, recall: 0.9504, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9563, kappa: 0.5009, kb_relative_information_score: 1401.8895, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.964, predictive_accuracy: 0.9642, prior_entropy: 0.3037, recall: 0.9642, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.7512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 82.6482, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 29.5452, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.9229, kappa: 0.2495, kb_relative_information_score: -482.7129, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9234, predictive_accuracy: 0.9223, prior_entropy: 0.3037, recall: 0.9223, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, f_measure: 0.8972, kappa: -0.0289, kb_relative_information_score: -2050.1722, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.8994, prior_entropy: 0.3037, recall: 0.8994, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3172, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.9732, kappa: 0.7331, kb_relative_information_score: 3019.3582, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.892, kappa: -0.0571, kb_relative_information_score: -2558.5373, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8921, predictive_accuracy: 0.8919, prior_entropy: 0.3037, recall: 0.8919, relative_absolute_error: 1.0573, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.8946, kappa: -0.0542, kb_relative_information_score: -2219.6272, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8924, predictive_accuracy: 0.8969, prior_entropy: 0.3037, recall: 0.8969, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3211, root_relative_squared_error: 1.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.9722, kappa: 0.6972, kb_relative_information_score: 3146.4495, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9736, kappa: 0.7499, kb_relative_information_score: 2962.8732, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9749, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.8974, kappa: -0.0146, kb_relative_information_score: -2120.7785, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8965, predictive_accuracy: 0.8983, prior_entropy: 0.3037, recall: 0.8983, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.9765, kappa: 0.7507, kb_relative_information_score: 3358.2683, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.8928, kappa: -0.0455, kb_relative_information_score: -2530.2948, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8933, predictive_accuracy: 0.8923, prior_entropy: 0.3037, recall: 0.8923, relative_absolute_error: 1.0533, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 1127.1101, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3037, recall: 0.9459, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9357, kappa: 0.3314, kb_relative_information_score: 703.4724, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9325, predictive_accuracy: 0.9397, prior_entropy: 0.3037, recall: 0.9397, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2456, root_relative_squared_error: 1.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.9069, kappa: 0.0048, kb_relative_information_score: -934.5931, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8985, predictive_accuracy: 0.9157, prior_entropy: 0.3037, recall: 0.9157, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2904, root_relative_squared_error: 1.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.8923, kappa: -0.0532, kb_relative_information_score: -2544.4161, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8925, predictive_accuracy: 0.8921, prior_entropy: 0.3037, recall: 0.8921, relative_absolute_error: 1.0553, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.9033, kappa: -0.0299, kb_relative_information_score: -1174.6544, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8947, predictive_accuracy: 0.9122, prior_entropy: 0.3037, recall: 0.9122, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2964, root_relative_squared_error: 1.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.9136, kappa: -0.011, kb_relative_information_score: 209.2285, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8962, predictive_accuracy: 0.9324, prior_entropy: 0.3037, recall: 0.9324, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.26, root_relative_squared_error: 1.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9878, kappa: 0.8782, kb_relative_information_score: 4007.846, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9877, predictive_accuracy: 0.988, prior_entropy: 0.3037, recall: 0.988, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.9605, kappa: 0.5528, kb_relative_information_score: 2581.5993, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9671, prior_entropy: 0.3037, recall: 0.9671, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.8025,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.8947, kappa: -0.0432, kb_relative_information_score: -2290.2335, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8935, predictive_accuracy: 0.8958, prior_entropy: 0.3037, recall: 0.8958, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.8951, kappa: -0.0285, kb_relative_information_score: -2332.5973, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.8952, prior_entropy: 0.3037, recall: 0.8952, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.897, kappa: -0.0052, kb_relative_information_score: -2233.7485, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8974, predictive_accuracy: 0.8967, prior_entropy: 0.3037, recall: 0.8967, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.8956, kappa: -0.0313, kb_relative_information_score: -2247.8697, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8948, predictive_accuracy: 0.8965, prior_entropy: 0.3037, recall: 0.8965, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.9775, kappa: 0.7623, kb_relative_information_score: 3414.7533, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 1127.1101, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3037, recall: 0.9459, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9185, kappa: -0.0051, kb_relative_information_score: 957.655, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8949, predictive_accuracy: 0.9434, prior_entropy: 0.3037, recall: 0.9434, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.238, root_relative_squared_error: 1.0534,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.9661, kappa: 0.6514, kb_relative_information_score: 2623.963, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9653, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9194, kappa: -0.0016, kb_relative_information_score: 1084.7463, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9452, prior_entropy: 0.3037, recall: 0.9452, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.234, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.9729, kappa: 0.7104, kb_relative_information_score: 3146.4495, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9853, kappa: 0.856, kb_relative_information_score: 3824.2697, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.8977, kappa: -0.0039, kb_relative_information_score: -2149.021, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.8975, predictive_accuracy: 0.8979, prior_entropy: 0.3037, recall: 0.8979, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.966, kappa: 0.6526, kb_relative_information_score: 2609.8418, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9653, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.7974,

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