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: 0.8988, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1038.4363, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8454, kappa: 0.6908, kb_relative_information_score: 1323.8095, mean_absolute_error: 0.264, 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: 0.5281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1284.8626, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1350.0304, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 909.2083, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8296, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.384, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7742, kappa: 0.55, kb_relative_information_score: 633.6441, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.779, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 1079.2731, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8337, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 1397.7303, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8404, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8037, kappa: 0.6077, kb_relative_information_score: 818.1718, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8045, predictive_accuracy: 0.8038, prior_entropy: 1, recall: 0.8038, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8361, kappa: 0.6723, kb_relative_information_score: 1075.0618, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8363, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8612, kappa: 0.7223, kb_relative_information_score: 1337.6179, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8612, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8434, kappa: 0.6869, kb_relative_information_score: 1042.0236, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8437, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8264, kappa: 0.6531, kb_relative_information_score: 815.0747, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8274, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8368, kappa: 0.6738, kb_relative_information_score: 925.5918, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8375, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8295, kappa: 0.6592, kb_relative_information_score: 949.8015, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8303, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8207, kappa: 0.6415, kb_relative_information_score: 1032.3412, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.821, predictive_accuracy: 0.8208, prior_entropy: 1, recall: 0.8208, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 967.9862, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.845, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.804, kappa: 0.6085, kb_relative_information_score: 736.7944, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8057, predictive_accuracy: 0.8042, prior_entropy: 1, recall: 0.8042, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8457, kappa: 0.6915, kb_relative_information_score: 971.846, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8462, predictive_accuracy: 0.8458, prior_entropy: 1, recall: 0.8458, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8658, kappa: 0.7315, kb_relative_information_score: 1360.0807, mean_absolute_error: 0.2596, 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: 0.5192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 1387.1363, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8019, kappa: 0.6038, kb_relative_information_score: 1297.7942, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8019, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 1367.9411, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8616, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8312, kappa: 0.6623, kb_relative_information_score: 1370.0215, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7967, kappa: 0.5938, kb_relative_information_score: 711.967, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7985, predictive_accuracy: 0.7969, prior_entropy: 1, recall: 0.7969, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8288, kappa: 0.6577, kb_relative_information_score: 1037.7922, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8292, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 1020.878, mean_absolute_error: 0.327, 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: 0.6539, 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: 0.8866, f_measure: 0.8024, kappa: 0.6054, kb_relative_information_score: 744.4531, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8046, predictive_accuracy: 0.8027, prior_entropy: 1, recall: 0.8027, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.7985, kappa: 0.5969, kb_relative_information_score: 1330.5168, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7985, predictive_accuracy: 0.7985, prior_entropy: 1, recall: 0.7985, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1114.5859, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8091, kappa: 0.6185, kb_relative_information_score: 786.872, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8099, predictive_accuracy: 0.8092, prior_entropy: 1, recall: 0.8092, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8223, kappa: 0.6446, kb_relative_information_score: 1324.6857, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8224, predictive_accuracy: 0.8223, prior_entropy: 1, recall: 0.8223, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 989.0298, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8379, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6675, 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: 0.9135, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1327.7722, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8355, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 949.2595, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8386, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7899, kappa: 0.5808, kb_relative_information_score: 715.2668, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7929, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 1039.3436, mean_absolute_error: 0.3254, 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: 0.6508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7702, kappa: 0.5415, kb_relative_information_score: 644.637, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7733, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 944.0259, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8374, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.377, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8338, kappa: 0.6677, kb_relative_information_score: 1087.4823, mean_absolute_error: 0.3135, 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: 0.6269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.6467, kappa: 0.2938, kb_relative_information_score: 146.2315, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6473, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.482, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 1246.1837, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8673, predictive_accuracy: 0.8673, prior_entropy: 1, recall: 0.8673, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.339, root_relative_squared_error: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8323, kappa: 0.6646, kb_relative_information_score: 1354.5489, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8323, predictive_accuracy: 0.8323, prior_entropy: 1, recall: 0.8323, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 1067.1911, mean_absolute_error: 0.3186, 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: 0.6371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1072.9407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8638, kappa: 0.7277, kb_relative_information_score: 1378.1681, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 1, recall: 0.8638, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 1063.3627, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8321, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1109.3389, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8449, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.855, kappa: 0.71, kb_relative_information_score: 1386.4646, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7627, kappa: 0.5269, kb_relative_information_score: 611.0046, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.767, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8403, kappa: 0.6808, kb_relative_information_score: 1006.1781, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8407, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8507, kappa: 0.7015, kb_relative_information_score: 1064.266, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.851, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7977, kappa: 0.5954, kb_relative_information_score: 1410.1403, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7977, predictive_accuracy: 0.7977, prior_entropy: 1, recall: 0.7977, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7904, kappa: 0.5808, kb_relative_information_score: 1371.2235, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7905, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 1424.2742, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8493, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5863, kappa: 0.1731, kb_relative_information_score: 171.239, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5867, predictive_accuracy: 0.5865, prior_entropy: 1, recall: 0.5865, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6126, kappa: 0.2254, kb_relative_information_score: 198.2879, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6128, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8454, kappa: 0.6908, kb_relative_information_score: 1421.393, mean_absolute_error: 0.2423, 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: 0.4847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1092.1881, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 883.1433, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8264, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8435, kappa: 0.6869, kb_relative_information_score: 1043.0516, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8358, kappa: 0.6715, kb_relative_information_score: 1046.2821, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8359, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.855, kappa: 0.71, kb_relative_information_score: 1358.3598, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5152, 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: 0.932, f_measure: 0.8642, kappa: 0.7285, kb_relative_information_score: 1321.1603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8643, predictive_accuracy: 0.8642, prior_entropy: 1, recall: 0.8642, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8303, kappa: 0.6608, kb_relative_information_score: 1047.024, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8307, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8096, kappa: 0.6192, kb_relative_information_score: 1310.4548, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8096, predictive_accuracy: 0.8096, prior_entropy: 1, recall: 0.8096, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8381, kappa: 0.6762, kb_relative_information_score: 1380.6515, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8381, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 1023.1445, mean_absolute_error: 0.3266, 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: 0.6532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 1029.2614, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8253, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 1001.9483, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8417, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8512, kappa: 0.7023, kb_relative_information_score: 1387.8153, mean_absolute_error: 0.2521, 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: 0.5041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.333, root_relative_squared_error: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7865, kappa: 0.5738, kb_relative_information_score: 638.0649, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7894, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 1085.1058, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8389, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8515, kappa: 0.7031, kb_relative_information_score: 1347.5954, mean_absolute_error: 0.2604, 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: 0.5208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 906.594, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.833, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8581, kappa: 0.7162, kb_relative_information_score: 1381.5189, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8581, predictive_accuracy: 0.8581, prior_entropy: 1, recall: 0.8581, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 1041.6291, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7662, kappa: 0.5338, kb_relative_information_score: 620.256, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7701, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1306.5497, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.869, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 959.7284, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8368, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8249, kappa: 0.65, kb_relative_information_score: 1034.2589, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8254, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8376, kappa: 0.6754, kb_relative_information_score: 1028.1791, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8382, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7736, kappa: 0.5485, kb_relative_information_score: 657.6622, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7775, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 1093.2992, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8469, predictive_accuracy: 0.8469, prior_entropy: 1, recall: 0.8469, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8558, kappa: 0.7115, kb_relative_information_score: 1324.3818, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8558, predictive_accuracy: 0.8558, prior_entropy: 1, recall: 0.8558, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8477, kappa: 0.6954, kb_relative_information_score: 1091.3658, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8479, predictive_accuracy: 0.8477, prior_entropy: 1, recall: 0.8477, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8473, kappa: 0.6946, kb_relative_information_score: 1049.7034, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8475, predictive_accuracy: 0.8473, prior_entropy: 1, recall: 0.8473, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 1274.957, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5134, kappa: 0.0285, kb_relative_information_score: 73.9973, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5143, predictive_accuracy: 0.5142, prior_entropy: 1, recall: 0.5142, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.697, root_relative_squared_error: 1.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8368, kappa: 0.6738, kb_relative_information_score: 1055.7151, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8376, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 1061.5405, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8419, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 1403.8327, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8166, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7913, kappa: 0.5831, kb_relative_information_score: 756.566, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7929, predictive_accuracy: 0.7915, prior_entropy: 1, recall: 0.7915, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8075,

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

OpenML bootcamp

From your own software

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

OpenML APIs