Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 20869 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_73 study_98 study_99 under100k under1m
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20869 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8308, kappa: 0.7216, kb_relative_information_score: 364.2264, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8201, predictive_accuracy: 0.8448, prior_entropy: 1.3212, recall: 0.8448, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 323.5846, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7513, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7565, kappa: 0.5854, kb_relative_information_score: 344.5241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7465, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7809, kappa: 0.6282, kb_relative_information_score: 369.2511, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7725, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7668, kappa: 0.6181, kb_relative_information_score: 333.9562, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7492, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.32, root_relative_squared_error: 0.7346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.767, kappa: 0.6132, kb_relative_information_score: 345.3323, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7494, predictive_accuracy: 0.7872, prior_entropy: 1.3212, recall: 0.7872, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.767, kappa: 0.6132, kb_relative_information_score: 345.3323, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7497, predictive_accuracy: 0.7872, prior_entropy: 1.3212, recall: 0.7872, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, kappa: 0.4659, kb_relative_information_score: 262.5808, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.712, prior_entropy: 1.3212, recall: 0.712, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7265, kappa: 0.5495, kb_relative_information_score: 277.5644, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6986, predictive_accuracy: 0.7568, prior_entropy: 1.3212, recall: 0.7568, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7797, kappa: 0.618, kb_relative_information_score: 358.4973, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7781, predictive_accuracy: 0.784, prior_entropy: 1.3212, recall: 0.784, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.7769, kappa: 0.6237, kb_relative_information_score: 367.2816, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7649, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7651, kappa: 0.6152, kb_relative_information_score: 330.7251, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.747, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 323.5846, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7513, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, kappa: 0.4896, kb_relative_information_score: 268.3129, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7248, prior_entropy: 1.3212, recall: 0.7248, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7753, kappa: 0.6208, kb_relative_information_score: 362.3048, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7637, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 323.5846, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7513, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7511, kappa: 0.5969, kb_relative_information_score: 303.3559, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7223, predictive_accuracy: 0.7824, prior_entropy: 1.3212, recall: 0.7824, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, kappa: 0.5104, kb_relative_information_score: 271.0276, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.736, prior_entropy: 1.3212, recall: 0.736, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 323.5846, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7513, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7643, kappa: 0.6164, kb_relative_information_score: 319.2492, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7505, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.326, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7796, kappa: 0.6274, kb_relative_information_score: 366.9871, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7701, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, kappa: 0.4659, kb_relative_information_score: 262.5808, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.712, prior_entropy: 1.3212, recall: 0.712, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7542, kappa: 0.6028, kb_relative_information_score: 303.8457, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7252, predictive_accuracy: 0.7856, prior_entropy: 1.3212, recall: 0.7856, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7504, kappa: 0.5838, kb_relative_information_score: 313.3495, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7383, predictive_accuracy: 0.7728, prior_entropy: 1.3212, recall: 0.7728, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.784, kappa: 0.6376, kb_relative_information_score: 360.5212, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7723, predictive_accuracy: 0.7984, prior_entropy: 1.3212, recall: 0.7984, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.314, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7365, kappa: 0.5633, kb_relative_information_score: 287.0157, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7235, predictive_accuracy: 0.7632, prior_entropy: 1.3212, recall: 0.7632, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, kappa: 0.5816, kb_relative_information_score: 287.2404, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, kappa: 0.5104, kb_relative_information_score: 271.6044, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.736, prior_entropy: 1.3212, recall: 0.736, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7532, kappa: 0.5851, kb_relative_information_score: 335.8322, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7387, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.328, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, kappa: 0.4748, kb_relative_information_score: 263.5382, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7168, prior_entropy: 1.3212, recall: 0.7168, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7461, kappa: 0.577, kb_relative_information_score: 290.5257, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.734, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.7825, kappa: 0.6348, kb_relative_information_score: 361.3463, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7712, predictive_accuracy: 0.7968, prior_entropy: 1.3212, recall: 0.7968, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7653, kappa: 0.6079, kb_relative_information_score: 336.115, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7505, predictive_accuracy: 0.784, prior_entropy: 1.3212, recall: 0.784, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.7391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, kappa: 0.5549, kb_relative_information_score: 276.194, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.76, prior_entropy: 1.3212, recall: 0.76, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7365, kappa: 0.5633, kb_relative_information_score: 285.8249, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7232, predictive_accuracy: 0.7632, prior_entropy: 1.3212, recall: 0.7632, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.762, kappa: 0.6021, kb_relative_information_score: 332.3716, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7466, predictive_accuracy: 0.7808, prior_entropy: 1.3212, recall: 0.7808, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7782, kappa: 0.6302, kb_relative_information_score: 352.2777, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7654, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, kappa: 0.5193, kb_relative_information_score: 264.8602, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7732, kappa: 0.6195, kb_relative_information_score: 364.126, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7607, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.762, kappa: 0.6021, kb_relative_information_score: 332.3716, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7466, predictive_accuracy: 0.7808, prior_entropy: 1.3212, recall: 0.7808, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.7577, kappa: 0.5942, kb_relative_information_score: 346.4204, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7412, predictive_accuracy: 0.776, prior_entropy: 1.3212, recall: 0.776, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, kappa: 0.5816, kb_relative_information_score: 287.2404, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7511, kappa: 0.5969, kb_relative_information_score: 294.7835, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7222, predictive_accuracy: 0.7824, prior_entropy: 1.3212, recall: 0.7824, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.338, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.7647, kappa: 0.6131, kb_relative_information_score: 326.0853, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7465, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7511, kappa: 0.5969, kb_relative_information_score: 294.7835, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7222, predictive_accuracy: 0.7824, prior_entropy: 1.3212, recall: 0.7824, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.338, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7725, kappa: 0.6207, kb_relative_information_score: 345.6896, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7573, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7585, kappa: 0.6005, kb_relative_information_score: 308.3337, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.746, predictive_accuracy: 0.7824, prior_entropy: 1.3212, recall: 0.7824, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7668, kappa: 0.6181, kb_relative_information_score: 334.1069, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7492, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7511, kappa: 0.5969, kb_relative_information_score: 303.3559, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7223, predictive_accuracy: 0.7824, prior_entropy: 1.3212, recall: 0.7824, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, kappa: 0.4807, kb_relative_information_score: 266.4569, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.72, prior_entropy: 1.3212, recall: 0.72, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7643, kappa: 0.6042, kb_relative_information_score: 350.2942, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7501, predictive_accuracy: 0.7808, prior_entropy: 1.3212, recall: 0.7808, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7651, kappa: 0.6115, kb_relative_information_score: 331.3389, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7472, predictive_accuracy: 0.7872, prior_entropy: 1.3212, recall: 0.7872, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7542, kappa: 0.6028, kb_relative_information_score: 303.8457, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7252, predictive_accuracy: 0.7856, prior_entropy: 1.3212, recall: 0.7856, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7825, kappa: 0.6253, kb_relative_information_score: 360.3356, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7779, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7538, kappa: 0.5917, kb_relative_information_score: 308.048, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7418, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7571, kappa: 0.5944, kb_relative_information_score: 322.3193, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7428, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, kappa: 0.4896, kb_relative_information_score: 268.3129, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7248, prior_entropy: 1.3212, recall: 0.7248, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7504, kappa: 0.5838, kb_relative_information_score: 313.3398, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7383, predictive_accuracy: 0.7728, prior_entropy: 1.3212, recall: 0.7728, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.756, kappa: 0.5849, kb_relative_information_score: 342.0945, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7456, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7489, kappa: 0.5809, kb_relative_information_score: 312.8745, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7367, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7575, kappa: 0.5922, kb_relative_information_score: 346.1287, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7422, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, kappa: 0.4896, kb_relative_information_score: 268.3129, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7248, prior_entropy: 1.3212, recall: 0.7248, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, kappa: 0.543, kb_relative_information_score: 276.1778, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, kappa: 0.4748, kb_relative_information_score: 263.5382, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7168, prior_entropy: 1.3212, recall: 0.7168, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7554, kappa: 0.5946, kb_relative_information_score: 308.7253, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.743, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.7684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.751, kappa: 0.5817, kb_relative_information_score: 335.4804, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7361, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, kappa: 0.5163, kb_relative_information_score: 272.7539, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7392, prior_entropy: 1.3212, recall: 0.7392, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, kappa: 0.5193, kb_relative_information_score: 264.8602, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7522, kappa: 0.5888, kb_relative_information_score: 308.3965, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7407, predictive_accuracy: 0.776, prior_entropy: 1.3212, recall: 0.776, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7608, kappa: 0.6007, kb_relative_information_score: 323.2136, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7462, predictive_accuracy: 0.7808, prior_entropy: 1.3212, recall: 0.7808, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, kappa: 0.5193, kb_relative_information_score: 264.8602, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, kappa: 0.5163, kb_relative_information_score: 272.7539, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7392, prior_entropy: 1.3212, recall: 0.7392, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, kappa: 0.4807, kb_relative_information_score: 266.4569, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.72, prior_entropy: 1.3212, recall: 0.72, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 314.5464, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7501, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, kappa: 0.4748, kb_relative_information_score: 263.5382, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7168, prior_entropy: 1.3212, recall: 0.7168, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, kappa: 0.543, kb_relative_information_score: 267.2415, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 314.5464, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7501, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7395, kappa: 0.5692, kb_relative_information_score: 285.6741, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7262, predictive_accuracy: 0.7664, prior_entropy: 1.3212, recall: 0.7664, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7511, kappa: 0.5969, kb_relative_information_score: 303.3559, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7223, predictive_accuracy: 0.7824, prior_entropy: 1.3212, recall: 0.7824, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7782, kappa: 0.6302, kb_relative_information_score: 352.2073, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7654, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7538, kappa: 0.5902, kb_relative_information_score: 317.6711, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7396, predictive_accuracy: 0.776, prior_entropy: 1.3212, recall: 0.776, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.7782, kappa: 0.6302, kb_relative_information_score: 352.5214, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.765, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.7642, kappa: 0.6164, kb_relative_information_score: 323.5846, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7513, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, kappa: 0.5816, kb_relative_information_score: 287.2404, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7668, kappa: 0.6181, kb_relative_information_score: 334.102, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7492, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, kappa: 0.543, kb_relative_information_score: 276.1778, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7651, kappa: 0.6152, kb_relative_information_score: 330.7251, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.747, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7554, kappa: 0.5931, kb_relative_information_score: 315.2547, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7412, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7558, kappa: 0.5849, kb_relative_information_score: 342.3515, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7457, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, kappa: 0.543, kb_relative_information_score: 276.1778, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.7642, kappa: 0.609, kb_relative_information_score: 337.2754, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7472, predictive_accuracy: 0.7856, prior_entropy: 1.3212, recall: 0.7856, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7643, kappa: 0.609, kb_relative_information_score: 337.4663, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7474, predictive_accuracy: 0.7856, prior_entropy: 1.3212, recall: 0.7856, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, kappa: 0.4807, kb_relative_information_score: 266.4569, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.72, prior_entropy: 1.3212, recall: 0.72, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7938, kappa: 0.6317, kb_relative_information_score: 370.5243, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8017, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, kappa: 0.5193, kb_relative_information_score: 264.8602, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.8009,

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