Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 17887 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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17887 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.6712, kappa: 0.5697, kb_relative_information_score: 509.0199, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6667, predictive_accuracy: 0.6773, prior_entropy: 1.9991, recall: 0.6773, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.6751, kappa: 0.5744, kb_relative_information_score: 517.262, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6713, predictive_accuracy: 0.6809, prior_entropy: 1.9991, recall: 0.6809, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.314, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.6688, kappa: 0.5666, kb_relative_information_score: 507.6451, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6643, predictive_accuracy: 0.6749, prior_entropy: 1.9991, recall: 0.6749, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.319, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.6807, kappa: 0.5808, kb_relative_information_score: 520.6483, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6773, predictive_accuracy: 0.6856, prior_entropy: 1.9991, recall: 0.6856, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7092, kappa: 0.6105, kb_relative_information_score: 555.2042, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7104, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6913, kappa: 0.5917, kb_relative_information_score: 532.4173, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6889, predictive_accuracy: 0.6939, prior_entropy: 1.9991, recall: 0.6939, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7129, kappa: 0.6201, kb_relative_information_score: 555.9277, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7109, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7081, kappa: 0.6154, kb_relative_information_score: 553.251, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7066, predictive_accuracy: 0.7116, prior_entropy: 1.9991, recall: 0.7116, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.6817, kappa: 0.5824, kb_relative_information_score: 521.2092, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6781, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.6859, kappa: 0.5822, kb_relative_information_score: 529.6818, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6858, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.7201, kappa: 0.6296, kb_relative_information_score: 549.0565, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7198, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.679, kappa: 0.576, kb_relative_information_score: 520.4141, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.677, predictive_accuracy: 0.682, prior_entropy: 1.9991, recall: 0.682, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.7254, kappa: 0.6343, kb_relative_information_score: 570.9909, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.725, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.6712, kappa: 0.5697, kb_relative_information_score: 508.644, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6667, predictive_accuracy: 0.6773, prior_entropy: 1.9991, recall: 0.6773, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.6748, kappa: 0.5665, kb_relative_information_score: 526.4255, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6748, predictive_accuracy: 0.6749, prior_entropy: 1.9991, recall: 0.6749, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7299, kappa: 0.6421, kb_relative_information_score: 577.6013, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7282, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.6933, kappa: 0.595, kb_relative_information_score: 532.2585, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6912, predictive_accuracy: 0.6962, prior_entropy: 1.9991, recall: 0.6962, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7003, kappa: 0.6044, kb_relative_information_score: 539.9703, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6977, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.7177, kappa: 0.6281, kb_relative_information_score: 557.286, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7166, predictive_accuracy: 0.721, prior_entropy: 1.9991, recall: 0.721, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.6817, kappa: 0.5824, kb_relative_information_score: 520.2297, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6781, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.6804, kappa: 0.5759, kb_relative_information_score: 530.4038, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6795, predictive_accuracy: 0.682, prior_entropy: 1.9991, recall: 0.682, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7343, kappa: 0.6485, kb_relative_information_score: 582.1481, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7326, predictive_accuracy: 0.7364, prior_entropy: 1.9991, recall: 0.7364, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.6744, kappa: 0.5713, kb_relative_information_score: 516.8417, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6715, predictive_accuracy: 0.6785, prior_entropy: 1.9991, recall: 0.6785, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.6695, kappa: 0.5715, kb_relative_information_score: 500.1999, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6642, predictive_accuracy: 0.6785, prior_entropy: 1.9991, recall: 0.6785, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.6917, kappa: 0.5885, kb_relative_information_score: 534.6505, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6922, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.7193, kappa: 0.6297, kb_relative_information_score: 560.9866, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7175, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.679, kappa: 0.576, kb_relative_information_score: 521.4298, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.677, predictive_accuracy: 0.682, prior_entropy: 1.9991, recall: 0.682, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.7211, kappa: 0.6312, kb_relative_information_score: 548.1564, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7202, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7173, kappa: 0.6264, kb_relative_information_score: 559.4747, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7152, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.6908, kappa: 0.6015, kb_relative_information_score: 520.5072, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6856, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7237, kappa: 0.6327, kb_relative_information_score: 571.507, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.723, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.6784, kappa: 0.5873, kb_relative_information_score: 516.0216, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.674, predictive_accuracy: 0.6903, prior_entropy: 1.9991, recall: 0.6903, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.7193, kappa: 0.6297, kb_relative_information_score: 550.0439, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7174, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.6711, kappa: 0.5617, kb_relative_information_score: 522.8354, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6714, predictive_accuracy: 0.6714, prior_entropy: 1.9991, recall: 0.6714, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7199, kappa: 0.6296, kb_relative_information_score: 550.1008, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7193, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.6941, kappa: 0.5933, kb_relative_information_score: 531.3386, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6935, predictive_accuracy: 0.695, prior_entropy: 1.9991, recall: 0.695, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.6938, kappa: 0.59, kb_relative_information_score: 536.8155, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6952, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.7173, kappa: 0.6264, kb_relative_information_score: 556.8204, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7152, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7167, kappa: 0.6249, kb_relative_information_score: 570.1134, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.715, predictive_accuracy: 0.7187, prior_entropy: 1.9991, recall: 0.7187, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.7121, kappa: 0.6202, kb_relative_information_score: 544.4402, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7101, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.7194, kappa: 0.6297, kb_relative_information_score: 549.2694, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6833, kappa: 0.5774, kb_relative_information_score: 527.5389, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6853, predictive_accuracy: 0.6832, prior_entropy: 1.9991, recall: 0.6832, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.6703, kappa: 0.5602, kb_relative_information_score: 524.6823, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6705, predictive_accuracy: 0.6702, prior_entropy: 1.9991, recall: 0.6702, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.6748, kappa: 0.5665, kb_relative_information_score: 526.6362, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6749, predictive_accuracy: 0.6749, prior_entropy: 1.9991, recall: 0.6749, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.6914, kappa: 0.5918, kb_relative_information_score: 527.2513, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6894, predictive_accuracy: 0.6939, prior_entropy: 1.9991, recall: 0.6939, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7225, kappa: 0.6328, kb_relative_information_score: 573.953, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7209, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.6691, kappa: 0.5715, kb_relative_information_score: 498.6494, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6635, predictive_accuracy: 0.6785, prior_entropy: 1.9991, recall: 0.6785, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.7218, kappa: 0.6328, kb_relative_information_score: 550.0579, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.72, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.6788, kappa: 0.5728, kb_relative_information_score: 527.7902, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6785, predictive_accuracy: 0.6797, prior_entropy: 1.9991, recall: 0.6797, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.731, kappa: 0.6454, kb_relative_information_score: 579.7077, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7288, predictive_accuracy: 0.734, prior_entropy: 1.9991, recall: 0.734, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.718, kappa: 0.6264, kb_relative_information_score: 555.9158, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7164, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.6847, kappa: 0.5807, kb_relative_information_score: 529.4979, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6846, predictive_accuracy: 0.6856, prior_entropy: 1.9991, recall: 0.6856, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6753, kappa: 0.5729, kb_relative_information_score: 517.7859, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6723, predictive_accuracy: 0.6797, prior_entropy: 1.9991, recall: 0.6797, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6712, kappa: 0.5697, kb_relative_information_score: 508.3393, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6667, predictive_accuracy: 0.6773, prior_entropy: 1.9991, recall: 0.6773, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7007, kappa: 0.6043, kb_relative_information_score: 547.1242, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6986, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7035, kappa: 0.6075, kb_relative_information_score: 552.6621, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7015, predictive_accuracy: 0.7057, prior_entropy: 1.9991, recall: 0.7057, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.723, kappa: 0.6344, kb_relative_information_score: 550.8774, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7213, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6811, kappa: 0.576, kb_relative_information_score: 522.0509, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6809, predictive_accuracy: 0.682, prior_entropy: 1.9991, recall: 0.682, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.6842, kappa: 0.5822, kb_relative_information_score: 530.7631, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.682, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7226, kappa: 0.6328, kb_relative_information_score: 549.7863, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7223, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.6798, kappa: 0.5744, kb_relative_information_score: 526.6686, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6792, predictive_accuracy: 0.6809, prior_entropy: 1.9991, recall: 0.6809, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7293, kappa: 0.6422, kb_relative_information_score: 580.4213, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7274, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.6721, kappa: 0.5713, kb_relative_information_score: 508.575, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6675, predictive_accuracy: 0.6785, prior_entropy: 1.9991, recall: 0.6785, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7222, kappa: 0.6312, kb_relative_information_score: 552.743, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7227, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7264, kappa: 0.6375, kb_relative_information_score: 550.5466, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7266, predictive_accuracy: 0.7281, prior_entropy: 1.9991, recall: 0.7281, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.6929, kappa: 0.6046, kb_relative_information_score: 522.3132, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6881, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.6973, kappa: 0.6013, kb_relative_information_score: 533.8008, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.67, kappa: 0.5601, kb_relative_information_score: 523.4232, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6707, predictive_accuracy: 0.6702, prior_entropy: 1.9991, recall: 0.6702, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6911, kappa: 0.5917, kb_relative_information_score: 532.3263, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6887, predictive_accuracy: 0.6939, prior_entropy: 1.9991, recall: 0.6939, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.6934, kappa: 0.5901, kb_relative_information_score: 534.4104, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6945, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.6917, kappa: 0.6031, kb_relative_information_score: 523.4596, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6867, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7124, kappa: 0.6202, kb_relative_information_score: 544.9092, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7106, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7173, kappa: 0.6264, kb_relative_information_score: 557.8615, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7159, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.6927, kappa: 0.5949, kb_relative_information_score: 540.1553, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6899, predictive_accuracy: 0.6962, prior_entropy: 1.9991, recall: 0.6962, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7163, kappa: 0.6249, kb_relative_information_score: 565.5319, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7145, predictive_accuracy: 0.7187, prior_entropy: 1.9991, recall: 0.7187, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.725, kappa: 0.6359, kb_relative_information_score: 557.0183, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7235, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6837, kappa: 0.5774, kb_relative_information_score: 531.5799, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6856, predictive_accuracy: 0.6832, prior_entropy: 1.9991, recall: 0.6832, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.6892, kappa: 0.5902, kb_relative_information_score: 537.1956, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6863, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.6807, kappa: 0.5743, kb_relative_information_score: 529.5433, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6816, predictive_accuracy: 0.6809, prior_entropy: 1.9991, recall: 0.6809, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7039, kappa: 0.6188, kb_relative_information_score: 528.6756, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6993, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.7221, kappa: 0.6312, kb_relative_information_score: 552.0138, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7221, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.7146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.6753, kappa: 0.5729, kb_relative_information_score: 518.5103, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6723, predictive_accuracy: 0.6797, prior_entropy: 1.9991, recall: 0.6797, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.6909, kappa: 0.5886, kb_relative_information_score: 526.4302, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6906, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7153, kappa: 0.6233, kb_relative_information_score: 558.8141, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7134, predictive_accuracy: 0.7175, prior_entropy: 1.9991, recall: 0.7175, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.6717, kappa: 0.5617, kb_relative_information_score: 524.5208, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6722, predictive_accuracy: 0.6714, prior_entropy: 1.9991, recall: 0.6714, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7109, kappa: 0.6267, kb_relative_information_score: 531.7801, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7069, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.688, kappa: 0.587, kb_relative_information_score: 526.1338, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6861, predictive_accuracy: 0.6903, prior_entropy: 1.9991, recall: 0.6903, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.7243, kappa: 0.6344, kb_relative_information_score: 555.1724, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7239, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.6859, kappa: 0.5854, kb_relative_information_score: 534.6986, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6831, predictive_accuracy: 0.6891, prior_entropy: 1.9991, recall: 0.6891, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.7217, kappa: 0.6328, kb_relative_information_score: 550.5626, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7199, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7109, kappa: 0.6169, kb_relative_information_score: 553.8601, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7092, predictive_accuracy: 0.7128, prior_entropy: 1.9991, recall: 0.7128, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7235, kappa: 0.636, kb_relative_information_score: 564.4917, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7211, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7102, kappa: 0.6251, kb_relative_information_score: 536.313, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.706, predictive_accuracy: 0.7187, prior_entropy: 1.9991, recall: 0.7187, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7243, kappa: 0.6359, kb_relative_information_score: 564.7297, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7229, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.6705, kappa: 0.5601, kb_relative_information_score: 522.9703, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.671, predictive_accuracy: 0.6702, prior_entropy: 1.9991, recall: 0.6702, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.7179, kappa: 0.6265, kb_relative_information_score: 557.0795, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7164, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7389, kappa: 0.6549, kb_relative_information_score: 576.6237, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7378, predictive_accuracy: 0.7411, prior_entropy: 1.9991, recall: 0.7411, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.6712, kappa: 0.5697, kb_relative_information_score: 508.634, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6667, predictive_accuracy: 0.6773, prior_entropy: 1.9991, recall: 0.6773, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.7356,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs