OpenML
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66404 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8595, kappa: 0.7189, kb_relative_information_score: 0.7, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8596, number_of_instances: 3468, precision: 0.8602, predictive_accuracy: 0.8596, prior_entropy: 0.9998, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6861, unweighted_recall: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6375, kappa: 0.2748, kb_relative_information_score: 0.2748, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4999, weighted_recall: 0.6375, number_of_instances: 3468, precision: 0.6375, predictive_accuracy: 0.6375, prior_entropy: 0.9998, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.602, root_relative_squared_error: 1.2043, unweighted_recall: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3395, f_measure: 0.2581, kappa: -0.3174, kb_relative_information_score: -0.3321, mean_absolute_error: 0.6658, mean_prior_absolute_error: 0.4999, weighted_recall: 0.3342, number_of_instances: 3468, precision: 0.224, predictive_accuracy: 0.3342, prior_entropy: 0.9998, relative_absolute_error: 1.332, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.816, root_relative_squared_error: 1.6322, unweighted_recall: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7944, kappa: 0.5889, kb_relative_information_score: 0.0527, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7944, number_of_instances: 3468, precision: 0.7947, predictive_accuracy: 0.7944, prior_entropy: 0.9998, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9636, unweighted_recall: 0.7945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7419, kappa: 0.4835, kb_relative_information_score: 0.3115, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7419, number_of_instances: 3468, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9998, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8382, unweighted_recall: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8304, kappa: 0.6606, kb_relative_information_score: 0.6304, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8304, number_of_instances: 3468, precision: 0.8306, predictive_accuracy: 0.8304, prior_entropy: 0.9998, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.742, unweighted_recall: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8414, kappa: 0.6829, kb_relative_information_score: 0.6454, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8417, number_of_instances: 3468, precision: 0.8433, predictive_accuracy: 0.8417, prior_entropy: 0.9998, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, unweighted_recall: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7668, kappa: 0.5356, kb_relative_information_score: 0.1428, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7685, number_of_instances: 3468, precision: 0.7744, predictive_accuracy: 0.7685, prior_entropy: 0.9998, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9023, unweighted_recall: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6629, kappa: 0.332, kb_relative_information_score: 0.3342, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4999, weighted_recall: 0.6672, number_of_instances: 3468, precision: 0.6738, predictive_accuracy: 0.6672, prior_entropy: 0.9998, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5769, root_relative_squared_error: 1.1539, unweighted_recall: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8049, kappa: 0.6098, kb_relative_information_score: 0.5756, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8051, number_of_instances: 3468, precision: 0.8054, predictive_accuracy: 0.8051, prior_entropy: 0.9998, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7894, unweighted_recall: 0.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8612, kappa: 0.7224, kb_relative_information_score: 0.6983, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8613, number_of_instances: 3468, precision: 0.8617, predictive_accuracy: 0.8613, prior_entropy: 0.9998, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6675, unweighted_recall: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9466, kappa: 0.8933, kb_relative_information_score: 0.8933, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4999, weighted_recall: 0.9467, number_of_instances: 3468, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.9998, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.231, root_relative_squared_error: 0.462, unweighted_recall: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.7922, kappa: 0.586, kb_relative_information_score: 0.5882, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7935, number_of_instances: 3468, precision: 0.7992, predictive_accuracy: 0.7935, prior_entropy: 0.9998, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8838, unweighted_recall: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7861, kappa: 0.5814, kb_relative_information_score: 0.5794, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7898, number_of_instances: 3468, precision: 0.8152, predictive_accuracy: 0.7898, prior_entropy: 0.9998, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9171, unweighted_recall: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8662, kappa: 0.7322, kb_relative_information_score: 0.6833, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8662, number_of_instances: 3468, precision: 0.8664, predictive_accuracy: 0.8662, prior_entropy: 0.9998, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6399, unweighted_recall: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7934, kappa: 0.5878, kb_relative_information_score: 0.5898, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7944, number_of_instances: 3468, precision: 0.7986, predictive_accuracy: 0.7944, prior_entropy: 0.9998, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8884, unweighted_recall: 0.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6034, kappa: 0.2857, kb_relative_information_score: 0.2933, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4999, weighted_recall: 0.6468, number_of_instances: 3468, precision: 0.7475, predictive_accuracy: 0.6468, prior_entropy: 0.9998, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5943, root_relative_squared_error: 1.1888, unweighted_recall: 0.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7857, kappa: 0.5732, kb_relative_information_score: 0.5742, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7872, number_of_instances: 3468, precision: 0.7933, predictive_accuracy: 0.7872, prior_entropy: 0.9998, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9048, unweighted_recall: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8618, kappa: 0.7235, kb_relative_information_score: 0.6303, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8619, number_of_instances: 3468, precision: 0.8622, predictive_accuracy: 0.8619, prior_entropy: 0.9998, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6529, unweighted_recall: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7957, kappa: 0.592, kb_relative_information_score: 0.5927, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7964, number_of_instances: 3468, precision: 0.7993, predictive_accuracy: 0.7964, prior_entropy: 0.9998, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9025, unweighted_recall: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7957, kappa: 0.592, kb_relative_information_score: 0.5927, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7964, number_of_instances: 3468, precision: 0.7993, predictive_accuracy: 0.7964, prior_entropy: 0.9998, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9025, unweighted_recall: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7957, kappa: 0.592, kb_relative_information_score: 0.5927, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7964, number_of_instances: 3468, precision: 0.7993, predictive_accuracy: 0.7964, prior_entropy: 0.9998, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9025, unweighted_recall: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7965, kappa: 0.5937, kb_relative_information_score: 0.5944, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7973, number_of_instances: 3468, precision: 0.8003, predictive_accuracy: 0.7973, prior_entropy: 0.9998, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9006, unweighted_recall: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7965, kappa: 0.5937, kb_relative_information_score: 0.5944, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7973, number_of_instances: 3468, precision: 0.8003, predictive_accuracy: 0.7973, prior_entropy: 0.9998, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9006, unweighted_recall: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7965, kappa: 0.5937, kb_relative_information_score: 0.5944, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7973, number_of_instances: 3468, precision: 0.8003, predictive_accuracy: 0.7973, prior_entropy: 0.9998, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9006, unweighted_recall: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7965, kappa: 0.5937, kb_relative_information_score: 0.5944, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7973, number_of_instances: 3468, precision: 0.8003, predictive_accuracy: 0.7973, prior_entropy: 0.9998, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9006, unweighted_recall: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7963, kappa: 0.5932, kb_relative_information_score: 0.5941, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4999, weighted_recall: 0.797, number_of_instances: 3468, precision: 0.7996, predictive_accuracy: 0.797, prior_entropy: 0.9998, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9008, unweighted_recall: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.827, kappa: 0.6578, kb_relative_information_score: 0.616, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8296, number_of_instances: 3468, precision: 0.8471, predictive_accuracy: 0.8296, prior_entropy: 0.9998, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7361, unweighted_recall: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7957, kappa: 0.592, kb_relative_information_score: 0.5927, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7964, number_of_instances: 3468, precision: 0.7993, predictive_accuracy: 0.7964, prior_entropy: 0.9998, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9025, unweighted_recall: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8615, kappa: 0.7229, kb_relative_information_score: 0.6974, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8616, number_of_instances: 3468, precision: 0.8619, predictive_accuracy: 0.8616, prior_entropy: 0.9998, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.663, unweighted_recall: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.7889, kappa: 0.5796, kb_relative_information_score: 0.5822, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7904, number_of_instances: 3468, precision: 0.7967, predictive_accuracy: 0.7904, prior_entropy: 0.9998, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.448, root_relative_squared_error: 0.8961, unweighted_recall: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7965, kappa: 0.5937, kb_relative_information_score: 0.5945, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7973, number_of_instances: 3468, precision: 0.8003, predictive_accuracy: 0.7973, prior_entropy: 0.9998, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9005, unweighted_recall: 0.7964,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7974, kappa: 0.5955, kb_relative_information_score: 0.5961, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7982, number_of_instances: 3468, precision: 0.8013, predictive_accuracy: 0.7982, prior_entropy: 0.9998, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8986, unweighted_recall: 0.7972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8661, kappa: 0.7322, kb_relative_information_score: 0.6921, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8662, number_of_instances: 3468, precision: 0.8664, predictive_accuracy: 0.8662, prior_entropy: 0.9998, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647, unweighted_recall: 0.8659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7805, kappa: 0.5609, kb_relative_information_score: 0.561, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7806, number_of_instances: 3468, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9998, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.937, unweighted_recall: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7805, kappa: 0.5609, kb_relative_information_score: 0.561, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7806, number_of_instances: 3468, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9998, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.937, unweighted_recall: 0.7804,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7805, kappa: 0.5609, kb_relative_information_score: 0.561, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7806, number_of_instances: 3468, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9998, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.937, unweighted_recall: 0.7804,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.4777, kappa: 0.1336, kb_relative_information_score: 0.1456, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4999, weighted_recall: 0.573, number_of_instances: 3468, precision: 0.7358, predictive_accuracy: 0.573, prior_entropy: 0.9998, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3072, unweighted_recall: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.5148, kappa: 0.034, kb_relative_information_score: 0.0319, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5161, number_of_instances: 3468, precision: 0.5174, predictive_accuracy: 0.5161, prior_entropy: 0.9998, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6956, root_relative_squared_error: 1.3914, unweighted_recall: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7978, kappa: 0.5954, kb_relative_information_score: 0.5958, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7979, number_of_instances: 3468, precision: 0.798, predictive_accuracy: 0.7979, prior_entropy: 0.9998, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8983, unweighted_recall: 0.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8497, kappa: 0.6993, kb_relative_information_score: 0.6578, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8498, number_of_instances: 3468, precision: 0.8499, predictive_accuracy: 0.8498, prior_entropy: 0.9998, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.341, root_relative_squared_error: 0.682, unweighted_recall: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8667, kappa: 0.7334, kb_relative_information_score: 0.6846, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8668, number_of_instances: 3468, precision: 0.867, predictive_accuracy: 0.8668, prior_entropy: 0.9998, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6397, unweighted_recall: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 0.6063, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8284, number_of_instances: 3468, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9998, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7305, unweighted_recall: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, kb_relative_information_score: 0.0161, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6283, root_relative_squared_error: 1.2567, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8172, kappa: 0.6343, kb_relative_information_score: 0.6342, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8172, number_of_instances: 3468, precision: 0.8172, predictive_accuracy: 0.8172, prior_entropy: 0.9998, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8553, unweighted_recall: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7893, kappa: 0.5793, kb_relative_information_score: 0.5802, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4999, weighted_recall: 0.7901, number_of_instances: 3468, precision: 0.7932, predictive_accuracy: 0.7901, prior_entropy: 0.9998, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8956, unweighted_recall: 0.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5084, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, unweighted_recall: 0.5,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs