OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9255, kappa: 0.8348, kb_relative_information_score: 749.9399, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9255, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9137, kappa: 0.8102, kb_relative_information_score: 726.638, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9143, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7075, kappa: 0.3424, kb_relative_information_score: 171.515, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7062, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8038, kappa: 0.5774, kb_relative_information_score: 457.7789, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8131, predictive_accuracy: 0.8006, prior_entropy: 0.9312, recall: 0.8006, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7222, kappa: 0.3734, kb_relative_information_score: 238.2777, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7587, predictive_accuracy: 0.7505, prior_entropy: 0.9312, recall: 0.7505, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 768.1857, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.3298, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9234, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7249, kappa: 0.3781, kb_relative_information_score: 203.8751, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.749, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9455, kappa: 0.8793, kb_relative_information_score: 808.1468, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9081, kappa: 0.7969, kb_relative_information_score: 718.3016, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9312, recall: 0.9081, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 768.1857, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9221, kappa: 0.8268, kb_relative_information_score: 731.0537, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9225, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 768.1857, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9137, kappa: 0.8102, kb_relative_information_score: 726.638, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9143, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9455, kappa: 0.8793, kb_relative_information_score: 808.1468, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.952, kappa: 0.894, kb_relative_information_score: 841.0344, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.207, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9015, kappa: 0.7802, kb_relative_information_score: 697.0638, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9029, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.256, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9386, kappa: 0.8647, kb_relative_information_score: 806.5911, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7075, kappa: 0.3393, kb_relative_information_score: 178.2444, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7102, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7574, kappa: 0.4551, kb_relative_information_score: 303.9111, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8289, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.735, kappa: 0.4176, kb_relative_information_score: 280.5872, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7364, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7429, kappa: 0.4233, kb_relative_information_score: 278.2517, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8152, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9328, kappa: 0.851, kb_relative_information_score: 770.0409, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9329, predictive_accuracy: 0.9332, prior_entropy: 0.9312, recall: 0.9332, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8602, kappa: 0.6845, kb_relative_information_score: 572.9562, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8739, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8113, kappa: 0.5954, kb_relative_information_score: 473.3627, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8229, predictive_accuracy: 0.8079, prior_entropy: 0.9312, recall: 0.8079, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 727.4182, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 727.4182, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 727.4182, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 767.2482, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7604, kappa: 0.4599, kb_relative_information_score: 302.5773, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8133, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9457, kappa: 0.88, kb_relative_information_score: 811.361, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9038, kappa: 0.7843, kb_relative_information_score: 684.4982, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7177, kappa: 0.3621, kb_relative_information_score: 206.6018, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7221, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9286, kappa: 0.8415, kb_relative_information_score: 755.1315, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9443, kappa: 0.8764, kb_relative_information_score: 800.2917, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 768.1857, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9583, kappa: 0.9079, kb_relative_information_score: 865.5156, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7429, kappa: 0.4233, kb_relative_information_score: 278.2517, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8152, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9425, kappa: 0.8728, kb_relative_information_score: 813.8926, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9424, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9059, kappa: 0.7903, kb_relative_information_score: 701.744, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9069, predictive_accuracy: 0.9071, prior_entropy: 0.9312, recall: 0.9071, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7122, kappa: 0.3492, kb_relative_information_score: 179.7032, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7187, predictive_accuracy: 0.7286, prior_entropy: 0.9312, recall: 0.7286, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7249, kappa: 0.3781, kb_relative_information_score: 203.8751, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.749, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 727.4182, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9137, kappa: 0.8102, kb_relative_information_score: 726.638, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9143, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 767.313, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9383, kappa: 0.8635, kb_relative_information_score: 811.3629, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9382, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9386, kappa: 0.8647, kb_relative_information_score: 806.5911, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9298, kappa: 0.8446, kb_relative_information_score: 762.0904, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7604, kappa: 0.4599, kb_relative_information_score: 302.5773, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8133, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9551, kappa: 0.9008, kb_relative_information_score: 856.541, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.769, kappa: 0.4827, kb_relative_information_score: 354.0384, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7685, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116,

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