OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54819 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54819 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8173, kappa: 0.6346, kb_relative_information_score: 1308.6867, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8173, predictive_accuracy: 0.8173, prior_entropy: 1, recall: 0.8173, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1056.402, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8287, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8186, kappa: 0.6377, kb_relative_information_score: 800.8479, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8209, predictive_accuracy: 0.8188, prior_entropy: 1, recall: 0.8188, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.5033, kappa: 0.0069, kb_relative_information_score: 9.8641, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5035, predictive_accuracy: 0.5035, prior_entropy: 1, recall: 0.5035, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8142, kappa: 0.6285, kb_relative_information_score: 1370.7774, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8142, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8473, kappa: 0.6946, kb_relative_information_score: 969.2507, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8478, predictive_accuracy: 0.8473, prior_entropy: 1, recall: 0.8473, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8588, kappa: 0.7177, kb_relative_information_score: 1405.106, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8589, predictive_accuracy: 0.8588, prior_entropy: 1, recall: 0.8588, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8181, kappa: 0.6362, kb_relative_information_score: 1394.0186, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8181, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8099, kappa: 0.62, kb_relative_information_score: 791.6952, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.811, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8608, kappa: 0.7215, kb_relative_information_score: 1326.1781, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8608, predictive_accuracy: 0.8608, prior_entropy: 1, recall: 0.8608, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8623, kappa: 0.7246, kb_relative_information_score: 1199.0401, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 1, recall: 0.8623, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5131, kappa: 0.0292, kb_relative_information_score: 75.228, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5148, predictive_accuracy: 0.5146, prior_entropy: 1, recall: 0.5146, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7341, kappa: 0.4692, kb_relative_information_score: 430.5423, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7366, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1040.5413, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8356, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 1058.9758, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8399, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8353, kappa: 0.6708, kb_relative_information_score: 1038.4908, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8358, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 1274.7843, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8548, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1083.9473, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8608, kappa: 0.7215, kb_relative_information_score: 1162.2963, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8609, predictive_accuracy: 0.8608, prior_entropy: 1, recall: 0.8608, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 1087.7801, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8377, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.833, kappa: 0.6662, kb_relative_information_score: 906.3664, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8337, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8013, kappa: 0.6031, kb_relative_information_score: 755.6171, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8031, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 977.5298, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8497, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7958, kappa: 0.5915, kb_relative_information_score: 1277.3368, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7958, predictive_accuracy: 0.7958, prior_entropy: 1, recall: 0.7958, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8361, kappa: 0.6723, kb_relative_information_score: 1022.8145, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8364, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1051.9665, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8462, kappa: 0.6923, kb_relative_information_score: 1374.5969, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 1, recall: 0.8462, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 825.6054, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8171, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8504, kappa: 0.7008, kb_relative_information_score: 1399.0259, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8504, predictive_accuracy: 0.8504, prior_entropy: 1, recall: 0.8504, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 1051.6405, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 1413.1836, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8405, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 1006.0419, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8283, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7835, kappa: 0.5677, kb_relative_information_score: 634.9957, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7857, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8392, kappa: 0.6785, kb_relative_information_score: 1036.1051, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8394, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 1371.3624, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.847, predictive_accuracy: 0.8469, prior_entropy: 1, recall: 0.8469, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8222, kappa: 0.6446, kb_relative_information_score: 852.4987, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8233, predictive_accuracy: 0.8223, prior_entropy: 1, recall: 0.8223, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7173, kappa: 0.4362, kb_relative_information_score: 368.9164, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7205, predictive_accuracy: 0.7181, prior_entropy: 1, recall: 0.7181, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7539, kappa: 0.5092, kb_relative_information_score: 524.7327, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7575, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1314.6727, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8658, kappa: 0.7315, kb_relative_information_score: 1357.3273, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8658, predictive_accuracy: 0.8658, prior_entropy: 1, recall: 0.8658, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 956.0933, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8336, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8112, kappa: 0.6223, kb_relative_information_score: 1404.0283, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8112, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8362, kappa: 0.6723, kb_relative_information_score: 1396.3741, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8515, kappa: 0.7031, kb_relative_information_score: 1400.7908, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 1, recall: 0.8515, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.334, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8338, kappa: 0.6677, kb_relative_information_score: 1086.1839, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.834, predictive_accuracy: 0.8338, prior_entropy: 1, recall: 0.8338, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8253, kappa: 0.6508, kb_relative_information_score: 1070.3711, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8257, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1271.574, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7769, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8431, kappa: 0.6862, kb_relative_information_score: 1081.3242, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8433, predictive_accuracy: 0.8431, prior_entropy: 1, recall: 0.8431, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8511, kappa: 0.7023, kb_relative_information_score: 1104.5975, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8512, predictive_accuracy: 0.8512, prior_entropy: 1, recall: 0.8512, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 1189.4369, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8062, kappa: 0.6131, kb_relative_information_score: 733.8463, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8084, predictive_accuracy: 0.8065, prior_entropy: 1, recall: 0.8065, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1369.4274, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7766, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1344.2943, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8288, kappa: 0.6577, kb_relative_information_score: 1387.2874, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8289, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8542, kappa: 0.7085, kb_relative_information_score: 1233.0048, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8542, predictive_accuracy: 0.8542, prior_entropy: 1, recall: 0.8542, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8504, kappa: 0.7008, kb_relative_information_score: 1290.4636, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8504, predictive_accuracy: 0.8504, prior_entropy: 1, recall: 0.8504, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8569, kappa: 0.7138, kb_relative_information_score: 1158.225, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8569, predictive_accuracy: 0.8569, prior_entropy: 1, recall: 0.8569, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8177, kappa: 0.6354, kb_relative_information_score: 1350.4661, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8177, predictive_accuracy: 0.8177, prior_entropy: 1, recall: 0.8177, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8004, kappa: 0.6008, kb_relative_information_score: 1398.2375, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8004, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8088, kappa: 0.6177, kb_relative_information_score: 1328.8016, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 1, recall: 0.8088, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 1034.7611, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8272, predictive_accuracy: 0.8269, prior_entropy: 1, recall: 0.8269, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 1075.6245, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8336, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1104.3059, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8424, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 1058.5417, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8336, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8265, kappa: 0.6531, kb_relative_information_score: 904.922, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8269, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.67, kappa: 0.34, kb_relative_information_score: 689.0248, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.67, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 980.9952, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8214, kappa: 0.6431, kb_relative_information_score: 888.675, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8222, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.7992, kappa: 0.5985, kb_relative_information_score: 1336.2057, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7992, predictive_accuracy: 0.7992, prior_entropy: 1, recall: 0.7992, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 1408.2663, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 1, recall: 0.8496, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 1026.175, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8494, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8596, kappa: 0.7192, kb_relative_information_score: 1109.9605, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8597, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.355, root_relative_squared_error: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 1088.3544, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8367, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8136, kappa: 0.6277, kb_relative_information_score: 797.1416, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8154, predictive_accuracy: 0.8138, prior_entropy: 1, recall: 0.8138, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.396, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8454, kappa: 0.6908, kb_relative_information_score: 1376.6352, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8454, predictive_accuracy: 0.8454, prior_entropy: 1, recall: 0.8454, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8462, kappa: 0.6923, kb_relative_information_score: 1391.7097, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 1, recall: 0.8462, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7969, kappa: 0.5938, kb_relative_information_score: 1394.8707, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7969, predictive_accuracy: 0.7969, prior_entropy: 1, recall: 0.7969, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8133, kappa: 0.6269, kb_relative_information_score: 827.7628, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8145, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8561, kappa: 0.7123, kb_relative_information_score: 1068.7078, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8563, predictive_accuracy: 0.8562, prior_entropy: 1, recall: 0.8562, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 1018.6808, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8263, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 1074.2794, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8549, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8531, kappa: 0.7062, kb_relative_information_score: 1138.4624, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8531, predictive_accuracy: 0.8531, prior_entropy: 1, recall: 0.8531, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7946, kappa: 0.5892, kb_relative_information_score: 1414.2415, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7948, predictive_accuracy: 0.7946, prior_entropy: 1, recall: 0.7946, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8442, kappa: 0.6885, kb_relative_information_score: 1093.5892, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8446, predictive_accuracy: 0.8442, prior_entropy: 1, recall: 0.8442, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 1324.9726, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1027.6364, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8356, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 864.5044, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8292, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.754, kappa: 0.5092, kb_relative_information_score: 553.1404, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7573, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.43, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7361, kappa: 0.4731, kb_relative_information_score: 475.7507, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7381, predictive_accuracy: 0.7365, prior_entropy: 1, recall: 0.7365, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8635, kappa: 0.7269, kb_relative_information_score: 1256.9156, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8635, predictive_accuracy: 0.8635, prior_entropy: 1, recall: 0.8635, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1090.5726, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8424, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8162, kappa: 0.6323, kb_relative_information_score: 1397.7999, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 1, recall: 0.8162, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8381, kappa: 0.6762, kb_relative_information_score: 1002.5927, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8382, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 1051.789, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8295, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7423, kappa: 0.4869, kb_relative_information_score: 460.9555, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7479, predictive_accuracy: 0.7435, prior_entropy: 1, recall: 0.7435, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1052.7292, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8092, kappa: 0.6185, kb_relative_information_score: 1387.0614, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8092, predictive_accuracy: 0.8092, prior_entropy: 1, recall: 0.8092, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 1025.0525, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8413, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 1069.3428, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.849, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 980.765, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8373, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7484,

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