Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 73039 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 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3627, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9457, kappa: 0.8913, kb_relative_information_score: 0.8705, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9458, number_of_instances: 554, precision: 0.9472, predictive_accuracy: 0.9458, prior_entropy: 0.9989, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.3814, unweighted_recall: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 0.9422, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9819, number_of_instances: 554, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 0.9989, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2547, unweighted_recall: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3412, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9639, kappa: 0.9277, kb_relative_information_score: 0.9044, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3254, unweighted_recall: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9314, kappa: 0.8627, kb_relative_information_score: 0.8438, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9314, number_of_instances: 554, precision: 0.9317, predictive_accuracy: 0.9314, prior_entropy: 0.9989, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4067, unweighted_recall: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3508, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8865, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3507, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3606, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7718, kappa: 0.543, kb_relative_information_score: 0.5041, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4992, weighted_recall: 0.7726, number_of_instances: 554, precision: 0.7736, predictive_accuracy: 0.7726, prior_entropy: 0.9989, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.725, unweighted_recall: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3386, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.814, kappa: 0.6274, kb_relative_information_score: 0.589, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4992, weighted_recall: 0.8141, number_of_instances: 554, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9989, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6548, unweighted_recall: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3351, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8111, kappa: 0.6221, kb_relative_information_score: 0.5897, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4992, weighted_recall: 0.8123, number_of_instances: 554, precision: 0.8162, predictive_accuracy: 0.8123, prior_entropy: 0.9989, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6741, unweighted_recall: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.9611, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2162, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 0.9492, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9874, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2466, unweighted_recall: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.9586, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2278, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8968, kappa: 0.7932, kb_relative_information_score: 0.7349, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4992, weighted_recall: 0.8971, number_of_instances: 554, precision: 0.8995, predictive_accuracy: 0.8971, prior_entropy: 0.9989, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5463, unweighted_recall: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8971, kappa: 0.7938, kb_relative_information_score: 0.7663, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4992, weighted_recall: 0.8971, number_of_instances: 554, precision: 0.8972, predictive_accuracy: 0.8971, prior_entropy: 0.9989, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5203, unweighted_recall: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.9558, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.227, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9421, kappa: 0.884, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9422, number_of_instances: 554, precision: 0.9436, predictive_accuracy: 0.9422, prior_entropy: 0.9989, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3548, unweighted_recall: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 0.9586, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9874, number_of_instances: 554, precision: 0.9875, predictive_accuracy: 0.9874, prior_entropy: 0.9989, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.225, unweighted_recall: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9693, kappa: 0.9385, kb_relative_information_score: 0.9245, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9693, number_of_instances: 554, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.9989, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3054, unweighted_recall: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8495, kappa: 0.6987, kb_relative_information_score: 0.6584, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4992, weighted_recall: 0.8502, number_of_instances: 554, precision: 0.853, predictive_accuracy: 0.8502, prior_entropy: 0.9989, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6205, unweighted_recall: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9856, number_of_instances: 554, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.9989, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.231, unweighted_recall: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9113, kappa: 0.8222, kb_relative_information_score: 0.7871, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9116, number_of_instances: 554, precision: 0.9141, predictive_accuracy: 0.9116, prior_entropy: 0.9989, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4883, unweighted_recall: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8061, kappa: 0.6117, kb_relative_information_score: 0.5574, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4992, weighted_recall: 0.8069, number_of_instances: 554, precision: 0.8087, predictive_accuracy: 0.8069, prior_entropy: 0.9989, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6759, unweighted_recall: 0.8048,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.962, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2177, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9152, kappa: 0.8305, kb_relative_information_score: 0.8001, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9152, number_of_instances: 554, precision: 0.9173, predictive_accuracy: 0.9152, prior_entropy: 0.9989, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4715, unweighted_recall: 0.9164,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.9575, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.2279, unweighted_recall: 0.9889,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9783, number_of_instances: 554, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 0.9989, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2671, unweighted_recall: 0.978,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9115, kappa: 0.8226, kb_relative_information_score: 0.8298, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9116, number_of_instances: 554, precision: 0.9117, predictive_accuracy: 0.9116, prior_entropy: 0.9989, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4338, unweighted_recall: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9169, kappa: 0.8336, kb_relative_information_score: 0.8354, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4992, weighted_recall: 0.917, number_of_instances: 554, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 0.9989, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4345, unweighted_recall: 0.9165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7899, kappa: 0.5811, kb_relative_information_score: 0.5061, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4992, weighted_recall: 0.7924, number_of_instances: 554, precision: 0.8013, predictive_accuracy: 0.7924, prior_entropy: 0.9989, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.734, unweighted_recall: 0.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 0.9414, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9801, number_of_instances: 554, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 0.9989, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2541, unweighted_recall: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3566, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.9565, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2259, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9567, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3372, unweighted_recall: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8835, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3496, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3631, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 0.955, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9874, number_of_instances: 554, precision: 0.9875, predictive_accuracy: 0.9874, prior_entropy: 0.9989, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2329, unweighted_recall: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8899, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3569, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3447, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9729, kappa: 0.9458, kb_relative_information_score: 0.9427, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9729, number_of_instances: 554, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9989, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2724, unweighted_recall: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 0.949, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9819, number_of_instances: 554, precision: 0.9822, predictive_accuracy: 0.9819, prior_entropy: 0.9989, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2509, unweighted_recall: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9892, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2134, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7997, kappa: 0.5994, kb_relative_information_score: 0.614, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4992, weighted_recall: 0.7996, number_of_instances: 554, precision: 0.8007, predictive_accuracy: 0.7996, prior_entropy: 0.9989, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6579, unweighted_recall: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 0.9475, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9856, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2472, unweighted_recall: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.8889, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3539, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 0.9439, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9801, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.265, unweighted_recall: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3197, unweighted_recall: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 0.9492, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9838, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2391, unweighted_recall: 0.9837,

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

OpenML APIs