Task
Supervised Classification on desharnais

Supervised Classification on desharnais

Task 3951 Supervised Classification desharnais 152 runs submitted
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  • study_1 study_107 study_123 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.725, kappa: 0.5008, kb_relative_information_score: 35.4839, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7303, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, kappa: 0.449, kb_relative_information_score: 20.8423, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.3804, number_of_instances: 81, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.6447, kappa: 0.3497, kb_relative_information_score: 21.5314, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6849, predictive_accuracy: 0.6667, prior_entropy: 1.3765, recall: 0.6667, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.648, kappa: 0.3835, kb_relative_information_score: 32.7277, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.661, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.6675, kappa: 0.4198, kb_relative_information_score: 35.6487, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6641, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.417, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.6189, kappa: 0.3288, kb_relative_information_score: 24.1156, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6206, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.5839, kappa: 0.2567, kb_relative_information_score: 13.8923, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5752, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4351, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7363, kappa: 0.5275, kb_relative_information_score: 31.5295, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.738, predictive_accuracy: 0.7407, prior_entropy: 1.3765, recall: 0.7407, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.377, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.56, kappa: 0.1987, kb_relative_information_score: 18.504, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5666, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.7173, kappa: 0.4962, kb_relative_information_score: 32.1546, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7227, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.5201, kappa: 0.1396, kb_relative_information_score: 9.3708, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5038, predictive_accuracy: 0.5802, prior_entropy: 1.3765, recall: 0.5802, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.5982, kappa: 0.2764, kb_relative_information_score: 12.721, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6051, predictive_accuracy: 0.6049, prior_entropy: 1.3765, recall: 0.6049, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7066, kappa: 0.4728, kb_relative_information_score: 37.1613, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7095, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.5908, kappa: 0.2697, kb_relative_information_score: 17.0025, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5828, predictive_accuracy: 0.6049, prior_entropy: 1.3765, recall: 0.6049, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.6285, kappa: 0.3221, kb_relative_information_score: 33.8301, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6359, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4559, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.5893, kappa: 0.2732, kb_relative_information_score: 27.1769, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5869, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6009, kappa: 0.2935, kb_relative_information_score: 17.9165, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6272, predictive_accuracy: 0.6049, prior_entropy: 1.3765, recall: 0.6049, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.5545, kappa: 0.1983, kb_relative_information_score: 20.6167, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5441, predictive_accuracy: 0.5802, prior_entropy: 1.3765, recall: 0.5802, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.4769, kappa: 0.0625, kb_relative_information_score: 11.0382, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.4685, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6009, kappa: 0.2935, kb_relative_information_score: 17.9165, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6272, predictive_accuracy: 0.6049, prior_entropy: 1.3765, recall: 0.6049, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.6817, kappa: 0.4424, kb_relative_information_score: 28.9, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6853, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.6697, kappa: 0.423, kb_relative_information_score: 16.6893, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6807, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7154, kappa: 0.488, kb_relative_information_score: 37.2747, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7263, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6168, kappa: 0.3279, kb_relative_information_score: 19.8942, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6279, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7154, kappa: 0.488, kb_relative_information_score: 37.2747, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7263, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6256, kappa: 0.3489, kb_relative_information_score: 24.6208, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6248, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.613, kappa: 0.3083, kb_relative_information_score: 19.3637, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.606, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4452, root_relative_squared_error: 1.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.6071, kappa: 0.325, kb_relative_information_score: 11.9695, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5683, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.6064, kappa: 0.3208, kb_relative_information_score: 14.7627, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5686, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.6012, kappa: 0.2883, kb_relative_information_score: 19.3004, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5934, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4419, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.4528, kappa: 0.0426, kb_relative_information_score: 9.1348, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.436, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.5727, kappa: 0.2394, kb_relative_information_score: 21.0686, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5679, predictive_accuracy: 0.5802, prior_entropy: 1.3765, recall: 0.5802, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4433, root_relative_squared_error: 1.0195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.5714, kappa: 0.2332, kb_relative_information_score: 19.4578, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5635, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6256, kappa: 0.3489, kb_relative_information_score: 24.6208, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6248, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.4528, kappa: 0.0426, kb_relative_information_score: 9.1348, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.436, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6614, kappa: 0.3922, kb_relative_information_score: 28.987, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6648, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6117, kappa: 0.3415, kb_relative_information_score: 22.4435, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5744, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.4908, kappa: 0.0733, kb_relative_information_score: 13.4732, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.4597, predictive_accuracy: 0.5432, prior_entropy: 1.3765, recall: 0.5432, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.2013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4694, f_measure: 0.3859, kappa: -0.133, kb_relative_information_score: 4.6835, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.358, predictive_accuracy: 0.4198, prior_entropy: 1.3765, recall: 0.4198, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6884, kappa: 0.4517, kb_relative_information_score: 38.3007, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6875, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4536, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7088, kappa: 0.4715, kb_relative_information_score: 27.3529, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7358, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4342, kappa: 0.0217, kb_relative_information_score: 1.791, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.4305, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.4089, kappa: -0.0136, kb_relative_information_score: 0.0861, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3235, predictive_accuracy: 0.5556, prior_entropy: 1.3765, recall: 0.5556, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6847, kappa: 0.4462, kb_relative_information_score: 32.9896, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6998, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.6443, kappa: 0.3699, kb_relative_information_score: 22.6908, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6342, predictive_accuracy: 0.6667, prior_entropy: 1.3765, recall: 0.6667, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4487, root_relative_squared_error: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6272, kappa: 0.3571, kb_relative_information_score: 17.1251, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5938, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7212, kappa: 0.5058, kb_relative_information_score: 36.3743, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7174, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6331, kappa: 0.3592, kb_relative_information_score: 30.1511, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6379, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.1429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7853, kappa: 0.6133, kb_relative_information_score: 29.7848, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8028, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7635, kappa: 0.5795, kb_relative_information_score: 30.2165, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7742, predictive_accuracy: 0.7654, prior_entropy: 1.3765, recall: 0.7654, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.5227, kappa: 0.15, kb_relative_information_score: 11.9211, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5168, predictive_accuracy: 0.5309, prior_entropy: 1.3765, recall: 0.5309, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6956, kappa: 0.4532, kb_relative_information_score: 23.0691, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6983, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7504, kappa: 0.5477, kb_relative_information_score: 30.282, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7698, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6292, kappa: 0.3302, kb_relative_information_score: 33.9732, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6294, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.6292, kappa: 0.3302, kb_relative_information_score: 33.9525, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6294, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6344, kappa: 0.346, kb_relative_information_score: 21.5954, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.65, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6256, kappa: 0.3489, kb_relative_information_score: 24.6208, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6248, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6424, kappa: 0.3815, kb_relative_information_score: 32.2722, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6161, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7733, kappa: 0.5947, kb_relative_information_score: 30.4724, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7801, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.6878, kappa: 0.4394, kb_relative_information_score: 36.8311, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6898, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.6373, kappa: 0.367, kb_relative_information_score: 23.4927, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6347, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4441, f_measure: 0.4114, kb_relative_information_score: 0.419, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.7645, kappa: 0.5729, kb_relative_information_score: 39.5791, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7871, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7169, kappa: 0.491, kb_relative_information_score: 30.7758, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7251, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6142, kappa: 0.3367, kb_relative_information_score: 28.4956, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.577, predictive_accuracy: 0.6667, prior_entropy: 1.3765, recall: 0.6667, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6824, kappa: 0.438, kb_relative_information_score: 20.4574, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6874, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.408, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.5749, kappa: 0.2727, kb_relative_information_score: 22.6836, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5511, predictive_accuracy: 0.6049, prior_entropy: 1.3765, recall: 0.6049, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.5933, kappa: 0.2696, kb_relative_information_score: 18.9043, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6069, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7257, kappa: 0.5038, kb_relative_information_score: 31.1599, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7303, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6214, kappa: 0.3451, kb_relative_information_score: 28.6829, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6286, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.1487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7853, kappa: 0.6133, kb_relative_information_score: 29.0499, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8028, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.612, kappa: 0.3156, kb_relative_information_score: 26.698, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6077, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.1021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6106, kappa: 0.328, kb_relative_information_score: 29.2167, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5755, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.5653, kappa: 0.2483, kb_relative_information_score: 20.2347, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.58, predictive_accuracy: 0.5556, prior_entropy: 1.3765, recall: 0.5556, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.716, kappa: 0.4927, kb_relative_information_score: 30.0769, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.718, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.366, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7795, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.5492, kappa: 0.2016, kb_relative_information_score: 20.6487, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.519, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6842, kappa: 0.4409, kb_relative_information_score: 29.3186, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6805, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6424, kappa: 0.3815, kb_relative_information_score: 32.2722, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6161, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7742, kappa: 0.593, kb_relative_information_score: 30.5204, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7928, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7065, kappa: 0.4789, kb_relative_information_score: 30.876, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7127, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6013, kappa: 0.292, kb_relative_information_score: 18.1736, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6113, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6424, kappa: 0.3815, kb_relative_information_score: 32.2722, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6161, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.6314, kappa: 0.3641, kb_relative_information_score: 32.1228, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6004, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.6034, kappa: 0.3121, kb_relative_information_score: 14.6543, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5674, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7568, kappa: 0.5634, kb_relative_information_score: 29.1544, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7825, predictive_accuracy: 0.7654, prior_entropy: 1.3765, recall: 0.7654, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7853, kappa: 0.6133, kb_relative_information_score: 30.7796, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8028, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7254, kappa: 0.5095, kb_relative_information_score: 29.3391, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7277, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.733, kappa: 0.5223, kb_relative_information_score: 29.8833, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7435, predictive_accuracy: 0.7407, prior_entropy: 1.3765, recall: 0.7407, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.36, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6213, kappa: 0.3546, kb_relative_information_score: 27.6075, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6292, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.61, kappa: 0.2913, kb_relative_information_score: 24.2711, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6152, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6117, kappa: 0.3415, kb_relative_information_score: 22.4435, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5744, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4441, f_measure: 0.4114, kb_relative_information_score: 0.3628, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.6617, kappa: 0.4136, kb_relative_information_score: 30.2867, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6696, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.8573,

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