OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.717, kappa: 0.3446, kb_relative_information_score: 139.3594, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7309, predictive_accuracy: 0.7396, prior_entropy: 0.9188, recall: 0.7396, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.6843, kappa: 0.269, kb_relative_information_score: 95.9654, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6995, predictive_accuracy: 0.7143, prior_entropy: 0.9188, recall: 0.7143, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.6933, kappa: 0.2897, kb_relative_information_score: 101.6287, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7068, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6603, kappa: 0.2137, kb_relative_information_score: 80.8854, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6709, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.6702, kappa: 0.2383, kb_relative_information_score: 89.6788, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6935, predictive_accuracy: 0.7083, prior_entropy: 0.9188, recall: 0.7083, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.6607, kappa: 0.2152, kb_relative_information_score: 88.3831, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6597, predictive_accuracy: 0.6815, prior_entropy: 0.9188, recall: 0.6815, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6694, kappa: 0.2373, kb_relative_information_score: 80.0236, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.697, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6813, kappa: 0.2624, kb_relative_information_score: 97.2511, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6978, predictive_accuracy: 0.7128, prior_entropy: 0.9188, recall: 0.7128, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7159, kappa: 0.3424, kb_relative_information_score: 137.2437, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7239, predictive_accuracy: 0.7351, prior_entropy: 0.9188, recall: 0.7351, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.5294, kappa: -0.0234, kb_relative_information_score: -0.9035, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4721, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4336, kb_relative_information_score: -7.788, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4729, kb_relative_information_score: -13.0337, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.7235, kappa: 0.3603, kb_relative_information_score: 139.5601, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7309, predictive_accuracy: 0.7411, prior_entropy: 0.9188, recall: 0.7411, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6883, kappa: 0.2788, kb_relative_information_score: 100.5338, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7088, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7151, kappa: 0.34, kb_relative_information_score: 134.0862, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7292, predictive_accuracy: 0.7381, prior_entropy: 0.9188, recall: 0.7381, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.6939, kappa: 0.291, kb_relative_information_score: 119.8429, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7022, predictive_accuracy: 0.7173, prior_entropy: 0.9188, recall: 0.7173, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, kb_relative_information_score: -2.2693, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, kb_relative_information_score: -1.8844, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.5596, kappa: 0.0199, kb_relative_information_score: 0.8746, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5823, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5766, kappa: 0.057, kb_relative_information_score: -33.3889, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5809, predictive_accuracy: 0.5729, prior_entropy: 0.9188, recall: 0.5729, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.5605, kappa: 0.0228, kb_relative_information_score: 4.2759, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.587, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.6936, kappa: 0.2904, kb_relative_information_score: 97.0767, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7043, predictive_accuracy: 0.7188, prior_entropy: 0.9188, recall: 0.7188, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7043, kappa: 0.3153, kb_relative_information_score: 128.9065, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7208, predictive_accuracy: 0.7307, prior_entropy: 0.9188, recall: 0.7307, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5674, kappa: 0.0164, kb_relative_information_score: -27.2669, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5688, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 1.0232, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6807, kappa: 0.2615, kb_relative_information_score: 93.4203, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7007, predictive_accuracy: 0.7143, prior_entropy: 0.9188, recall: 0.7143, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.5368, kappa: 0.0059, kb_relative_information_score: 2.0099, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7784, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7178, kappa: 0.3465, kb_relative_information_score: 134.1745, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.728, predictive_accuracy: 0.7381, prior_entropy: 0.9188, recall: 0.7381, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7172, kappa: 0.3453, kb_relative_information_score: 131.4185, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7258, predictive_accuracy: 0.7366, prior_entropy: 0.9188, recall: 0.7366, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5503, kappa: 0.0116, kb_relative_information_score: 3.9484, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5791, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, kb_relative_information_score: -2.9581, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.6634, kappa: 0.2205, kb_relative_information_score: 92.2083, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.673, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.6736, kappa: 0.2461, kb_relative_information_score: 90.6419, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.698, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6479, kappa: 0.1846, kb_relative_information_score: 89.3025, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6531, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6937, kappa: 0.2908, kb_relative_information_score: 111.5539, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7091, predictive_accuracy: 0.7217, prior_entropy: 0.9188, recall: 0.7217, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, kb_relative_information_score: -7.3413, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5714, kappa: 0.0363, kb_relative_information_score: -0.6324, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.593, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.551, kappa: 0.0086, kb_relative_information_score: 9.3311, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5705, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.469, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5496, kappa: 0.0145, kb_relative_information_score: 6.4189, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.592, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6627, kappa: 0.2194, kb_relative_information_score: 79.6815, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.675, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7011, kappa: 0.3077, kb_relative_information_score: 113.2402, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7096, predictive_accuracy: 0.7232, prior_entropy: 0.9188, recall: 0.7232, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7196, kappa: 0.3504, kb_relative_information_score: 133.3887, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7351, predictive_accuracy: 0.7426, prior_entropy: 0.9188, recall: 0.7426, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.5368, kappa: 0.0059, kb_relative_information_score: -8.935, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7784, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, kb_relative_information_score: -0.6803, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, kb_relative_information_score: 1.1767, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6653, kappa: 0.2263, kb_relative_information_score: 10.245, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.664, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: -11.0091, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6594, kappa: 0.2117, kb_relative_information_score: 83.1095, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6708, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kb_relative_information_score: -0.5677, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.5432, kappa: 0.0029, kb_relative_information_score: 8.0517, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5638, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.6896, kappa: 0.2814, kb_relative_information_score: 101.7118, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7054, predictive_accuracy: 0.7188, prior_entropy: 0.9188, recall: 0.7188, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.6635, kappa: 0.2228, kb_relative_information_score: 86.2284, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6845, predictive_accuracy: 0.7024, prior_entropy: 0.9188, recall: 0.7024, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7076, kappa: 0.3228, kb_relative_information_score: 126.5543, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7247, predictive_accuracy: 0.7336, prior_entropy: 0.9188, recall: 0.7336, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.6672, kappa: 0.2299, kb_relative_information_score: 87.093, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6813, predictive_accuracy: 0.7009, prior_entropy: 0.9188, recall: 0.7009, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.6789, kappa: 0.2567, kb_relative_information_score: 92.1229, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6934, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7001, kappa: 0.3054, kb_relative_information_score: 106.4166, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.712, predictive_accuracy: 0.7247, prior_entropy: 0.9188, recall: 0.7247, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.6, kappa: 0.0828, kb_relative_information_score: 36.5366, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6119, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7242, kappa: 0.3616, kb_relative_information_score: 138.2246, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7329, predictive_accuracy: 0.7426, prior_entropy: 0.9188, recall: 0.7426, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.548, kappa: 0.0087, kb_relative_information_score: 6.4052, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5751, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7163, kappa: 0.3429, kb_relative_information_score: 134.0418, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7313, predictive_accuracy: 0.7396, prior_entropy: 0.9188, recall: 0.7396, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.6921, kappa: 0.2872, kb_relative_information_score: 119.2502, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7098, predictive_accuracy: 0.7217, prior_entropy: 0.9188, recall: 0.7217, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7261, kappa: 0.3661, kb_relative_information_score: 138.2675, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7346, predictive_accuracy: 0.744, prior_entropy: 0.9188, recall: 0.744, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.6943, kappa: 0.2924, kb_relative_information_score: 109.5432, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6986, predictive_accuracy: 0.7143, prior_entropy: 0.9188, recall: 0.7143, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7305, kappa: 0.3765, kb_relative_information_score: 136.1965, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7378, predictive_accuracy: 0.747, prior_entropy: 0.9188, recall: 0.747, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.5592, kappa: 0.0229, kb_relative_information_score: 5.3267, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5901, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6642, kappa: 0.2225, kb_relative_information_score: 83.465, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6731, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.5479, kappa: -0.0044, kb_relative_information_score: -76.961, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5536, predictive_accuracy: 0.5432, prior_entropy: 0.9188, recall: 0.5432, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5757, root_relative_squared_error: 1.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6591, kappa: 0.2109, kb_relative_information_score: 77.2723, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6689, predictive_accuracy: 0.692, prior_entropy: 0.9188, recall: 0.692, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.5946, kappa: 0.0862, kb_relative_information_score: 28.9255, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6399, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, kb_relative_information_score: 4.1947, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5346, kappa: -0.003, kb_relative_information_score: -2.2807, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5274, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5937, kappa: 0.0698, kb_relative_information_score: -7.3649, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6048, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7032, kappa: 0.3139, kb_relative_information_score: 116.8188, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.706, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.6668, kappa: 0.2284, kb_relative_information_score: 79.569, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6734, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.6261, kappa: 0.14, kb_relative_information_score: 48.782, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6449, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6622, kappa: 0.2177, kb_relative_information_score: 83.2727, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.671, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, kb_relative_information_score: -2.8286, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, kb_relative_information_score: -2.1311, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6575, kappa: 0.2077, kb_relative_information_score: 77.0719, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6708, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9501,

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