Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 415281 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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415281 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7405, kappa: 0.3627, kb_relative_information_score: 228.8912, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7393, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6831, kappa: 0.2601, kb_relative_information_score: 177.6509, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6901, predictive_accuracy: 0.678, prior_entropy: 0.8818, recall: 0.678, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.2383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7371, kappa: 0.3613, kb_relative_information_score: 190.5083, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7339, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7065, kappa: 0.2957, kb_relative_information_score: 182.8334, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7044, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6924, kappa: 0.2518, kb_relative_information_score: 171.4827, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6875, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7101, kappa: 0.3018, kb_relative_information_score: 211.8569, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7073, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7064, kappa: 0.2854, kb_relative_information_score: 181.9575, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.702, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7077, kappa: 0.3012, kb_relative_information_score: 220.7607, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7065, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7068, kappa: 0.2913, kb_relative_information_score: 182.2402, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7032, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.6897, kappa: 0.2541, kb_relative_information_score: 200.5649, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.687, predictive_accuracy: 0.693, prior_entropy: 0.8818, recall: 0.693, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7081, kappa: 0.2879, kb_relative_information_score: 173.3045, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7038, predictive_accuracy: 0.718, prior_entropy: 0.8818, recall: 0.718, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.6969, kappa: 0.2596, kb_relative_information_score: 151.7527, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7037, kappa: 0.2962, kb_relative_information_score: 201.6708, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7044, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.709, kappa: 0.2886, kb_relative_information_score: 178.4566, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7047, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6852, kappa: 0.2442, kb_relative_information_score: 199.2148, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6828, predictive_accuracy: 0.688, prior_entropy: 0.8818, recall: 0.688, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.7171, kappa: 0.3204, kb_relative_information_score: 196.6342, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7149, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.7006, kappa: 0.2718, kb_relative_information_score: 174.2985, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.696, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7114, kappa: 0.3117, kb_relative_information_score: 206.2441, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7109, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7112, kappa: 0.3026, kb_relative_information_score: 199.1197, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7079, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.6828, kappa: 0.2418, kb_relative_information_score: 179.6797, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6816, predictive_accuracy: 0.684, prior_entropy: 0.8818, recall: 0.684, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.1311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.7157, kappa: 0.316, kb_relative_information_score: 226.5157, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7131, predictive_accuracy: 0.719, prior_entropy: 0.8818, recall: 0.719, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6974, kappa: 0.2611, kb_relative_information_score: 173.4324, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6924, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6924, kappa: 0.2505, kb_relative_information_score: 166.1803, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6873, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7056, kappa: 0.294, kb_relative_information_score: 184.6356, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7037, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4705, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.7088, kappa: 0.2963, kb_relative_information_score: 179.3218, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7053, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.456, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7053, kappa: 0.2926, kb_relative_information_score: 180.6421, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7031, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4598, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7015, kappa: 0.2701, kb_relative_information_score: 175.3444, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6968, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6899, kappa: 0.2413, kb_relative_information_score: 139.441, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6845, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6876, kappa: 0.2335, kb_relative_information_score: 146.6092, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6822, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7074, kappa: 0.2975, kb_relative_information_score: 178.991, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7052, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6963, kappa: 0.2641, kb_relative_information_score: 160.0434, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6921, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6899, kappa: 0.2413, kb_relative_information_score: 140.6345, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6845, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6936, kappa: 0.2538, kb_relative_information_score: 173.8085, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6887, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6998, kappa: 0.2677, kb_relative_information_score: 159.3346, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6951, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6982, kappa: 0.2629, kb_relative_information_score: 171.1262, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6933, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6973, kappa: 0.2647, kb_relative_information_score: 170.8871, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6927, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6979, kappa: 0.2688, kb_relative_information_score: 160.4571, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6939, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6964, kappa: 0.2556, kb_relative_information_score: 169.8596, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6916, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.6953, kappa: 0.2585, kb_relative_information_score: 174.2178, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6905, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7198, kappa: 0.3279, kb_relative_information_score: 200.1055, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7179, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.2614, kb_relative_information_score: 153.1585, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6929, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6782, kappa: 0.2321, kb_relative_information_score: 158.7443, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6775, predictive_accuracy: 0.679, prior_entropy: 0.8818, recall: 0.679, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7094, kappa: 0.289, kb_relative_information_score: 177.5027, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7052, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.704, kappa: 0.2871, kb_relative_information_score: 215.9425, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7011, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7052, kappa: 0.2821, kb_relative_information_score: 181.35, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7007, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6945, kappa: 0.2543, kb_relative_information_score: 171.0644, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6894, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.7154, kappa: 0.3169, kb_relative_information_score: 195.9024, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7133, predictive_accuracy: 0.718, prior_entropy: 0.8818, recall: 0.718, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.6861, kappa: 0.2486, kb_relative_information_score: 196.5392, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6845, predictive_accuracy: 0.688, prior_entropy: 0.8818, recall: 0.688, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7064, kappa: 0.2934, kb_relative_information_score: 229.4558, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7036, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4655, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.7036, kappa: 0.2774, kb_relative_information_score: 181.2335, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.699, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.6969, kappa: 0.2596, kb_relative_information_score: 152.6348, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.7115, kappa: 0.2941, kb_relative_information_score: 181.7114, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7075, predictive_accuracy: 0.723, prior_entropy: 0.8818, recall: 0.723, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7091, kappa: 0.2976, kb_relative_information_score: 178.9294, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7058, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.6942, kappa: 0.2678, kb_relative_information_score: 204.0503, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6926, predictive_accuracy: 0.696, prior_entropy: 0.8818, recall: 0.696, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7081, kappa: 0.2969, kb_relative_information_score: 198.2328, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7052, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6975, kappa: 0.2673, kb_relative_information_score: 161.8076, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6934, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6957, kappa: 0.2551, kb_relative_information_score: 160.9942, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6907, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7056, kappa: 0.2825, kb_relative_information_score: 169.7314, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7011, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7039, kappa: 0.2847, kb_relative_information_score: 199.3339, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7003, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4624, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.7007, kappa: 0.2695, kb_relative_information_score: 160.6385, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6959, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.7009, kappa: 0.2744, kb_relative_information_score: 172.0493, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6966, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6985, kappa: 0.2608, kb_relative_information_score: 168.5451, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6939, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.702, kappa: 0.2787, kb_relative_information_score: 164.924, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6981, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7052, kappa: 0.2821, kb_relative_information_score: 183.0575, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7007, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6876, kappa: 0.2335, kb_relative_information_score: 143.8092, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6822, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6998, kappa: 0.27, kb_relative_information_score: 176.6544, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6952, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6973, kappa: 0.2696, kb_relative_information_score: 199.7598, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6939, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7103, kappa: 0.2908, kb_relative_information_score: 183.5039, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7062, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7105, kappa: 0.2998, kb_relative_information_score: 200.099, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7069, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7028, kappa: 0.2804, kb_relative_information_score: 200.6484, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6989, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.6924, kappa: 0.2505, kb_relative_information_score: 170.2128, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6873, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7061, kappa: 0.292, kb_relative_information_score: 197.4079, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7031, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7036, kappa: 0.2774, kb_relative_information_score: 182.9208, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.699, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6881, kappa: 0.2351, kb_relative_information_score: 148.5231, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6827, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.6969, kappa: 0.2718, kb_relative_information_score: 206.4231, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6944, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.7098, kappa: 0.3004, kb_relative_information_score: 222.9101, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7068, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.71, kappa: 0.2994, kb_relative_information_score: 182.0546, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7066, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7063, kappa: 0.291, kb_relative_information_score: 183.5183, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7029, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6876, kappa: 0.2335, kb_relative_information_score: 145.7758, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6822, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7023, kappa: 0.2742, kb_relative_information_score: 182.1714, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6977, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7076, kappa: 0.2965, kb_relative_information_score: 199.802, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7049, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.6806, kappa: 0.241, kb_relative_information_score: 171.9922, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6812, predictive_accuracy: 0.68, prior_entropy: 0.8818, recall: 0.68, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6876, kappa: 0.2335, kb_relative_information_score: 146.124, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6822, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7023, kappa: 0.2742, kb_relative_information_score: 180.4526, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6977, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7097, kappa: 0.3037, kb_relative_information_score: 187.2783, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7077, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7068, kappa: 0.2913, kb_relative_information_score: 203.1279, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7032, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.463, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.701, kappa: 0.2732, kb_relative_information_score: 172.3579, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6965, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7085, kappa: 0.2949, kb_relative_information_score: 210.7515, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6956, kappa: 0.2698, kb_relative_information_score: 185.4398, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6935, predictive_accuracy: 0.698, prior_entropy: 0.8818, recall: 0.698, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6976, kappa: 0.2662, kb_relative_information_score: 171.7501, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6932, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.444, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.7087, kappa: 0.2996, kb_relative_information_score: 180.7957, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7062, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4616, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.7001, kappa: 0.2715, kb_relative_information_score: 180.0007, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6957, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7027, kappa: 0.2757, kb_relative_information_score: 179.2122, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6981, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.6977, kappa: 0.2771, kb_relative_information_score: 207.32, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6965, predictive_accuracy: 0.699, prior_entropy: 0.8818, recall: 0.699, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7031, kappa: 0.2888, kb_relative_information_score: 190.2303, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7014, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.7082, kappa: 0.2992, kb_relative_information_score: 177.6632, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7059, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4624, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6915, kappa: 0.2564, kb_relative_information_score: 201.0364, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.696, prior_entropy: 0.8818, recall: 0.696, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0842,

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