OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21770 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21770 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7337, kappa: 0.7083, kb_relative_information_score: 0.7255, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7405, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7278, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7299, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7278, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7299, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7316, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7404, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7316, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7404, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7264, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7284, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7264, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7284, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.6645, kappa: 0.6322, kb_relative_information_score: 0.6539, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6792, predictive_accuracy: 0.669, prior_entropy: 3.3219, recall: 0.669, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.6888, kappa: 0.6594, kb_relative_information_score: 0.6795, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6935, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7272, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.729, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7248, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7266, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7294, kappa: 0.7011, kb_relative_information_score: 0.7187, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7313, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.6588, kappa: 0.6228, kb_relative_information_score: 0.645, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6791, predictive_accuracy: 0.6605, prior_entropy: 3.3219, recall: 0.6605, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7276, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7295, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7224, kappa: 0.6933, kb_relative_information_score: 0.7114, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7234, predictive_accuracy: 0.724, prior_entropy: 3.3219, recall: 0.724, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7237, kappa: 0.6944, kb_relative_information_score: 0.7124, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7256, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.724, kappa: 0.695, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7258, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.729, kappa: 0.7, kb_relative_information_score: 0.7176, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7272, kappa: 0.7033, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7366, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7182, kappa: 0.6894, kb_relative_information_score: 0.7077, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7189, predictive_accuracy: 0.7205, prior_entropy: 3.3219, recall: 0.7205, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7243, kappa: 0.695, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7261, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7259, kappa: 0.6967, kb_relative_information_score: 0.7145, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7278, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7233, kappa: 0.6939, kb_relative_information_score: 0.7119, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7251, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7264, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7283, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7268, kappa: 0.6978, kb_relative_information_score: 0.7156, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7287, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7172, kappa: 0.6878, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7175, predictive_accuracy: 0.719, prior_entropy: 3.3219, recall: 0.719, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7257, kappa: 0.6967, kb_relative_information_score: 0.7145, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7275, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.7082, kappa: 0.6761, kb_relative_information_score: 0.7577, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7094, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.7073, kappa: 0.6789, kb_relative_information_score: 0.7567, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7079, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.6946, kappa: 0.6789, kb_relative_information_score: 0.3427, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7098, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.7152, kappa: 0.6833, kb_relative_information_score: 0.7523, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7173, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7178, kappa: 0.7006, kb_relative_information_score: 0.7315, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.725, predictive_accuracy: 0.7305, prior_entropy: 3.3219, recall: 0.7305, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6671, kappa: 0.6294, kb_relative_information_score: 0.6512, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6682, predictive_accuracy: 0.6665, prior_entropy: 3.3219, recall: 0.6665, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.6682, kappa: 0.6306, kb_relative_information_score: 0.6523, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6694, predictive_accuracy: 0.6675, prior_entropy: 3.3219, recall: 0.6675, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6874, kappa: 0.6533, kb_relative_information_score: 0.7068, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6872, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.666, kappa: 0.6283, kb_relative_information_score: 0.6502, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6672, predictive_accuracy: 0.6655, prior_entropy: 3.3219, recall: 0.6655, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.738, kappa: 0.7117, kb_relative_information_score: 0.7286, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7398, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.6651, kappa: 0.6272, kb_relative_information_score: 0.6491, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6664, predictive_accuracy: 0.6645, prior_entropy: 3.3219, recall: 0.6645, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.259, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7047, kappa: 0.6767, kb_relative_information_score: 0.5039, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7103, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.699, kappa: 0.6667, kb_relative_information_score: 0.7528, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.6881, kappa: 0.6533, kb_relative_information_score: 0.6884, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6888, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.6939, kappa: 0.6606, kb_relative_information_score: 0.7409, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6939, predictive_accuracy: 0.6945, prior_entropy: 3.3219, recall: 0.6945, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.675, kappa: 0.6478, kb_relative_information_score: 0.7217, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6829, predictive_accuracy: 0.683, prior_entropy: 3.3219, recall: 0.683, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7194, kappa: 0.6906, kb_relative_information_score: 0.7623, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7196, predictive_accuracy: 0.7215, prior_entropy: 3.3219, recall: 0.7215, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.684, kappa: 0.6528, kb_relative_information_score: 0.7328, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.687, predictive_accuracy: 0.6875, prior_entropy: 3.3219, recall: 0.6875, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.6972, kappa: 0.6633, kb_relative_information_score: 0.7462, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6978, predictive_accuracy: 0.697, prior_entropy: 3.3219, recall: 0.697, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.6629, kappa: 0.64, kb_relative_information_score: 0.7167, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6733, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7255, kappa: 0.6967, kb_relative_information_score: 0.7443, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.728, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7133, kappa: 0.6961, kb_relative_information_score: 0.6383, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7235, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.7184, kappa: 0.7022, kb_relative_information_score: 0.7413, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7244, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7045, kappa: 0.6733, kb_relative_information_score: 0.7542, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7051, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.6991, kappa: 0.6844, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7095, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.7199, kappa: 0.7, kb_relative_information_score: 0.7285, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7267, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.7197, kappa: 0.6906, kb_relative_information_score: 0.7126, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7212, predictive_accuracy: 0.7215, prior_entropy: 3.3219, recall: 0.7215, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7185, kappa: 0.7056, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7342, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.683, kappa: 0.6478, kb_relative_information_score: 0.7095, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6834, predictive_accuracy: 0.683, prior_entropy: 3.3219, recall: 0.683, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7356, kappa: 0.7067, kb_relative_information_score: 0.7549, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.737, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.7071, kappa: 0.6772, kb_relative_information_score: 0.3651, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7065, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7317, kappa: 0.7056, kb_relative_information_score: 0.7119, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7335, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.7169, kappa: 0.6867, kb_relative_information_score: 0.7611, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.722, kappa: 0.6944, kb_relative_information_score: 0.7489, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.723, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7222, kappa: 0.7006, kb_relative_information_score: 0.753, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7253, predictive_accuracy: 0.7305, prior_entropy: 3.3219, recall: 0.7305, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7228, kappa: 0.7078, kb_relative_information_score: 0.7331, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7303, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7226, kappa: 0.6972, kb_relative_information_score: 0.7337, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7249, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7238, kappa: 0.7017, kb_relative_information_score: 0.7535, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7267, predictive_accuracy: 0.7315, prior_entropy: 3.3219, recall: 0.7315, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7231, kappa: 0.7111, kb_relative_information_score: 0.7412, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7324, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.7261, kappa: 0.6972, kb_relative_information_score: 0.7579, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7276, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7197, kappa: 0.6906, kb_relative_information_score: 0.764, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7204, predictive_accuracy: 0.7215, prior_entropy: 3.3219, recall: 0.7215, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.7107, kappa: 0.695, kb_relative_information_score: 0.6889, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7281, kappa: 0.7, kb_relative_information_score: 0.7656, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7293, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.7139, kappa: 0.6839, kb_relative_information_score: 0.7368, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7149, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.7193, kappa: 0.6894, kb_relative_information_score: 0.7582, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7194, predictive_accuracy: 0.7205, prior_entropy: 3.3219, recall: 0.7205, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.7199, kappa: 0.6917, kb_relative_information_score: 0.6578, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7281, kappa: 0.705, kb_relative_information_score: 0.7582, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.731, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7222, kappa: 0.6967, kb_relative_information_score: 0.7337, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7244, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7219, kappa: 0.6928, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7243, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.7084, kappa: 0.6778, kb_relative_information_score: 0.7498, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 3.3219, recall: 0.71, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7293, kappa: 0.705, kb_relative_information_score: 0.5251, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.732, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.7197, kappa: 0.6978, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7225, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7057, kappa: 0.6844, kb_relative_information_score: 0.7456, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7093, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.7233, kappa: 0.695, kb_relative_information_score: 0.747, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7253, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.6935, kappa: 0.6594, kb_relative_information_score: 0.7324, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.694, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.703, kappa: 0.6711, kb_relative_information_score: 0.7449, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7028, predictive_accuracy: 0.704, prior_entropy: 3.3219, recall: 0.704, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7045, kappa: 0.6728, kb_relative_information_score: 0.7483, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7045, predictive_accuracy: 0.7055, prior_entropy: 3.3219, recall: 0.7055, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.724, kappa: 0.7133, kb_relative_information_score: 0.5184, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7365, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.723, kappa: 0.6939, kb_relative_information_score: 0.7435, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7254, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.7285, kappa: 0.7, kb_relative_information_score: 0.7573, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.6996, kappa: 0.6706, kb_relative_information_score: 0.7413, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7014, predictive_accuracy: 0.7035, prior_entropy: 3.3219, recall: 0.7035, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.7171, kappa: 0.6944, kb_relative_information_score: 0.7576, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7184, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7076, kappa: 0.6956, kb_relative_information_score: 0.7201, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.731, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.7219, kappa: 0.6944, kb_relative_information_score: 0.7481, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7231, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7206, kappa: 0.6967, kb_relative_information_score: 0.753, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7227, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.7219, kappa: 0.6944, kb_relative_information_score: 0.7481, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7231, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7229, kappa: 0.6944, kb_relative_information_score: 0.7609, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7243, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7065, kappa: 0.6744, kb_relative_information_score: 0.7508, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7073, predictive_accuracy: 0.707, prior_entropy: 3.3219, recall: 0.707, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.7191, kappa: 0.6978, kb_relative_information_score: 0.7535, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7222, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7263, kappa: 0.7061, kb_relative_information_score: 0.7404, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7073, kappa: 0.6967, kb_relative_information_score: 0.478, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7262, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.652, kappa: 0.6133, kb_relative_information_score: 0.6425, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6528, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.6681, kappa: 0.6306, kb_relative_information_score: 0.6523, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6693, predictive_accuracy: 0.6675, prior_entropy: 3.3219, recall: 0.6675, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.8596,

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