OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.7996, kappa: 0.6007, kb_relative_information_score: 0.5982, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.5, weighted_recall: 0.8004, number_of_instances: 556, precision: 0.8052, predictive_accuracy: 0.8004, prior_entropy: 1, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6868, unweighted_recall: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.7927, kappa: 0.5899, kb_relative_information_score: 0.5926, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.5, weighted_recall: 0.795, number_of_instances: 556, precision: 0.8084, predictive_accuracy: 0.795, prior_entropy: 1, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6577, unweighted_recall: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7244, kappa: 0.4568, kb_relative_information_score: 0.4493, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.5, weighted_recall: 0.7284, number_of_instances: 556, precision: 0.7425, predictive_accuracy: 0.7284, prior_entropy: 1, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7725, unweighted_recall: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.7642, kappa: 0.5288, kb_relative_information_score: 0.5755, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.5, weighted_recall: 0.7644, number_of_instances: 556, precision: 0.7654, predictive_accuracy: 0.7644, prior_entropy: 1, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6761, unweighted_recall: 0.7644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7125, kappa: 0.4281, kb_relative_information_score: 0.4117, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.5, weighted_recall: 0.714, number_of_instances: 556, precision: 0.7188, predictive_accuracy: 0.714, prior_entropy: 1, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8044, unweighted_recall: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7504, kappa: 0.5072, kb_relative_information_score: 0.4432, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.5, weighted_recall: 0.7536, number_of_instances: 556, precision: 0.7673, predictive_accuracy: 0.7536, prior_entropy: 1, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788, unweighted_recall: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9388, kappa: 0.8777, kb_relative_information_score: 0.8975, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.5, weighted_recall: 0.9388, number_of_instances: 556, precision: 0.9392, predictive_accuracy: 0.9388, prior_entropy: 1, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3502, unweighted_recall: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8488, kappa: 0.6978, kb_relative_information_score: 0.7358, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.5, weighted_recall: 0.8489, number_of_instances: 556, precision: 0.8504, predictive_accuracy: 0.8489, prior_entropy: 1, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5374, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9082, kappa: 0.8165, kb_relative_information_score: 0.8218, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.5, weighted_recall: 0.9083, number_of_instances: 556, precision: 0.9089, predictive_accuracy: 0.9083, prior_entropy: 1, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4364, unweighted_recall: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.91, kappa: 0.8201, kb_relative_information_score: 0.8418, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.5, weighted_recall: 0.9101, number_of_instances: 556, precision: 0.9111, predictive_accuracy: 0.9101, prior_entropy: 1, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.215, root_relative_squared_error: 0.43, unweighted_recall: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8381, kappa: 0.6763, kb_relative_information_score: 0.744, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.5, weighted_recall: 0.8381, number_of_instances: 556, precision: 0.8383, predictive_accuracy: 0.8381, prior_entropy: 1, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5455, unweighted_recall: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7737, kappa: 0.5504, kb_relative_information_score: 0.5537, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.5, weighted_recall: 0.7752, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7752, prior_entropy: 1, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6988, unweighted_recall: 0.7752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8182, kappa: 0.6367, kb_relative_information_score: 0.7223, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.5, weighted_recall: 0.8183, number_of_instances: 556, precision: 0.8193, predictive_accuracy: 0.8183, prior_entropy: 1, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5451, unweighted_recall: 0.8183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9299, kappa: 0.8597, kb_relative_information_score: 0.8931, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.5, weighted_recall: 0.9299, number_of_instances: 556, precision: 0.93, predictive_accuracy: 0.9299, prior_entropy: 1, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3466, unweighted_recall: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.5, weighted_recall: 0.9982, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0565, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8723, kappa: 0.7446, kb_relative_information_score: 0.8016, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.5, weighted_recall: 0.8723, number_of_instances: 556, precision: 0.8723, predictive_accuracy: 0.8723, prior_entropy: 1, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.4891, unweighted_recall: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9245, kappa: 0.8489, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.5, weighted_recall: 0.9245, number_of_instances: 556, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 1, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4015, unweighted_recall: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8651, kappa: 0.7302, kb_relative_information_score: 0.789, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.5, weighted_recall: 0.8651, number_of_instances: 556, precision: 0.8652, predictive_accuracy: 0.8651, prior_entropy: 1, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4813, unweighted_recall: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7364, kappa: 0.4748, kb_relative_information_score: 0.4951, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, weighted_recall: 0.7374, number_of_instances: 556, precision: 0.741, predictive_accuracy: 0.7374, prior_entropy: 1, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7527, unweighted_recall: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8021, kappa: 0.6043, kb_relative_information_score: 0.6828, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.5, weighted_recall: 0.8022, number_of_instances: 556, precision: 0.8024, predictive_accuracy: 0.8022, prior_entropy: 1, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5816, unweighted_recall: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7195, kappa: 0.4424, kb_relative_information_score: 0.4477, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.5, weighted_recall: 0.7212, number_of_instances: 556, precision: 0.7266, predictive_accuracy: 0.7212, prior_entropy: 1, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7712, unweighted_recall: 0.7212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9029, kappa: 0.8058, kb_relative_information_score: 0.8391, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.5, weighted_recall: 0.9029, number_of_instances: 556, precision: 0.9029, predictive_accuracy: 0.9029, prior_entropy: 1, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4246, unweighted_recall: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.861, kappa: 0.723, kb_relative_information_score: 0.7294, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.5, weighted_recall: 0.8615, number_of_instances: 556, precision: 0.8673, predictive_accuracy: 0.8615, prior_entropy: 1, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.541, unweighted_recall: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7695, kappa: 0.5432, kb_relative_information_score: 0.4958, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, weighted_recall: 0.7716, number_of_instances: 556, precision: 0.7818, predictive_accuracy: 0.7716, prior_entropy: 1, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.733, unweighted_recall: 0.7716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9028, kappa: 0.8058, kb_relative_information_score: 0.8302, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.5, weighted_recall: 0.9029, number_of_instances: 556, precision: 0.905, predictive_accuracy: 0.9029, prior_entropy: 1, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4407, unweighted_recall: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.7841, kappa: 0.5683, kb_relative_information_score: 0.6216, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.5, weighted_recall: 0.7842, number_of_instances: 556, precision: 0.7843, predictive_accuracy: 0.7842, prior_entropy: 1, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6348, unweighted_recall: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.7805, kappa: 0.5612, kb_relative_information_score: 0.6458, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.5, weighted_recall: 0.7806, number_of_instances: 556, precision: 0.7808, predictive_accuracy: 0.7806, prior_entropy: 1, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6163, unweighted_recall: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7399, kappa: 0.4856, kb_relative_information_score: 0.3953, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.5, weighted_recall: 0.7428, number_of_instances: 556, precision: 0.7543, predictive_accuracy: 0.7428, prior_entropy: 1, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7061, kappa: 0.4173, kb_relative_information_score: 0.3986, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.5, weighted_recall: 0.7086, number_of_instances: 556, precision: 0.7162, predictive_accuracy: 0.7086, prior_entropy: 1, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.829, unweighted_recall: 0.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7636, kappa: 0.5324, kb_relative_information_score: 0.5336, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.5, weighted_recall: 0.7662, number_of_instances: 556, precision: 0.7783, predictive_accuracy: 0.7662, prior_entropy: 1, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7069, unweighted_recall: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7287, kappa: 0.4712, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, weighted_recall: 0.7356, number_of_instances: 556, precision: 0.7625, predictive_accuracy: 0.7356, prior_entropy: 1, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, unweighted_recall: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8719, kappa: 0.7446, kb_relative_information_score: 0.763, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.5, weighted_recall: 0.8723, number_of_instances: 556, precision: 0.877, predictive_accuracy: 0.8723, prior_entropy: 1, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5193, unweighted_recall: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7809, kappa: 0.5647, kb_relative_information_score: 0.5637, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.5, weighted_recall: 0.7824, number_of_instances: 556, precision: 0.79, predictive_accuracy: 0.7824, prior_entropy: 1, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.342, root_relative_squared_error: 0.684, unweighted_recall: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7932, kappa: 0.5863, kb_relative_information_score: 0.6696, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.5, weighted_recall: 0.7932, number_of_instances: 556, precision: 0.7932, predictive_accuracy: 0.7932, prior_entropy: 1, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6039, unweighted_recall: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 0.7074, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.5, weighted_recall: 0.8255, number_of_instances: 556, precision: 0.8257, predictive_accuracy: 0.8255, prior_entropy: 1, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5629, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8596, kappa: 0.7194, kb_relative_information_score: 0.7845, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.5, weighted_recall: 0.8597, number_of_instances: 556, precision: 0.8609, predictive_accuracy: 0.8597, prior_entropy: 1, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4956, unweighted_recall: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8777, kappa: 0.7554, kb_relative_information_score: 0.7913, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.5, weighted_recall: 0.8777, number_of_instances: 556, precision: 0.8778, predictive_accuracy: 0.8777, prior_entropy: 1, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4863, unweighted_recall: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9065, kappa: 0.8129, kb_relative_information_score: 0.8308, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.5, weighted_recall: 0.9065, number_of_instances: 556, precision: 0.9067, predictive_accuracy: 0.9065, prior_entropy: 1, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4448, unweighted_recall: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7202, kappa: 0.4532, kb_relative_information_score: 0.4096, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.5, weighted_recall: 0.7266, number_of_instances: 556, precision: 0.7494, predictive_accuracy: 0.7266, prior_entropy: 1, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8018, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9065, kappa: 0.8129, kb_relative_information_score: 0.8304, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.5, weighted_recall: 0.9065, number_of_instances: 556, precision: 0.9065, predictive_accuracy: 0.9065, prior_entropy: 1, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4488, unweighted_recall: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9478, kappa: 0.8957, kb_relative_information_score: 0.917, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.5, weighted_recall: 0.9478, number_of_instances: 556, precision: 0.9479, predictive_accuracy: 0.9478, prior_entropy: 1, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.2937, unweighted_recall: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6622, kappa: 0.3453, kb_relative_information_score: 0.3165, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.5, weighted_recall: 0.6727, number_of_instances: 556, precision: 0.6972, predictive_accuracy: 0.6727, prior_entropy: 1, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8493, unweighted_recall: 0.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.794, kappa: 0.5899, kb_relative_information_score: 0.5285, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.5, weighted_recall: 0.795, number_of_instances: 556, precision: 0.8006, predictive_accuracy: 0.795, prior_entropy: 1, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.705, unweighted_recall: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8177, kappa: 0.6367, kb_relative_information_score: 0.6797, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.5, weighted_recall: 0.8183, number_of_instances: 556, precision: 0.8229, predictive_accuracy: 0.8183, prior_entropy: 1, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5925, unweighted_recall: 0.8183,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8921, kappa: 0.7842, kb_relative_information_score: 0.8277, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.5, weighted_recall: 0.8921, number_of_instances: 556, precision: 0.8923, predictive_accuracy: 0.8921, prior_entropy: 1, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4276, unweighted_recall: 0.8921,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0268, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, kb_relative_information_score: 7.2001, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0194, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0145, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.5922, kappa: 0.2878, kb_relative_information_score: 7.4376, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.792, predictive_accuracy: 0.6439, prior_entropy: 1, recall: 0.6439, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6884, kappa: 0.3921, kb_relative_information_score: 114.2995, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7173, predictive_accuracy: 0.696, prior_entropy: 1, recall: 0.696, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0071, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0252, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0042,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0131, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4792, kb_relative_information_score: -0.1126, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0284, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, kb_relative_information_score: 0.3805, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.759, kappa: 0.5432, kb_relative_information_score: 201.8834, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8432, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -0.055, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, kb_relative_information_score: -0.0278, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.5279, kappa: 0.205, kb_relative_information_score: 7.7146, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7786, predictive_accuracy: 0.6025, prior_entropy: 1, recall: 0.6025, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0126, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,

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