Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 139099 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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139099 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 26.7077, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.6965, kappa: 0.3151, kb_relative_information_score: 404.5441, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6975, predictive_accuracy: 0.7099, prior_entropy: 0.9313, recall: 0.7099, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 4.8336, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 18.3584, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8267, kappa: 0.6129, kb_relative_information_score: 755.1051, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.827, predictive_accuracy: 0.8295, prior_entropy: 0.9313, recall: 0.8295, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 4.7842, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 2.8174, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9653, kappa: 0.9241, kb_relative_information_score: 1405.0657, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9673, predictive_accuracy: 0.965, prior_entropy: 0.9313, recall: 0.965, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.68, kappa: 0.2774, kb_relative_information_score: 272.7419, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6803, predictive_accuracy: 0.695, prior_entropy: 0.9313, recall: 0.695, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 4.8301, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -10.3404, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -7.3434, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.847, kappa: 0.6612, kb_relative_information_score: 1003.752, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8467, predictive_accuracy: 0.8475, prior_entropy: 0.9313, recall: 0.8475, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 10.3216, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 74.5435, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6236, kappa: 0.1686, kb_relative_information_score: 190.4491, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6234, predictive_accuracy: 0.6239, prior_entropy: 0.9313, recall: 0.6239, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8463, kappa: 0.6595, kb_relative_information_score: 900.0655, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.846, predictive_accuracy: 0.847, prior_entropy: 0.9313, recall: 0.847, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9718, kappa: 0.9379, kb_relative_information_score: 1560.5145, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -40.081, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 30.5271, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 5.3627, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.966, kappa: 0.9249, kb_relative_information_score: 1368.763, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.9313, recall: 0.966, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -36.9051, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7155, kappa: 0.3583, kb_relative_information_score: 381.9464, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7174, predictive_accuracy: 0.7275, prior_entropy: 0.9313, recall: 0.7275, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 14.7744, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.729, kappa: 0.391, kb_relative_information_score: 505.5047, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7286, predictive_accuracy: 0.7367, prior_entropy: 0.9313, recall: 0.7367, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -6.7904, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -30.1493, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -126.3805, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0345, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -53.1675, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6601, kappa: 0.2315, kb_relative_information_score: 241.6634, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6691, predictive_accuracy: 0.6878, prior_entropy: 0.9313, recall: 0.6878, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -29.0473, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.682, kappa: 0.2827, kb_relative_information_score: 292.4145, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6812, predictive_accuracy: 0.695, prior_entropy: 0.9313, recall: 0.695, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -120.4985, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0328, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 21.9157, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.5367, kappa: 0.0215, kb_relative_information_score: 73.0346, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6065, predictive_accuracy: 0.6538, prior_entropy: 0.9313, recall: 0.6538, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.6954, kappa: 0.3217, kb_relative_information_score: 346.7069, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6933, predictive_accuracy: 0.6986, prior_entropy: 0.9313, recall: 0.6986, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9069, kappa: 0.7948, kb_relative_information_score: 1255.4099, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9071, predictive_accuracy: 0.9067, prior_entropy: 0.9313, recall: 0.9067, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 24.3257, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -7.2115, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -24.438, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8077, kappa: 0.567, kb_relative_information_score: 770.3513, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8132, predictive_accuracy: 0.8145, prior_entropy: 0.9313, recall: 0.8145, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.5985, kappa: 0.1063, kb_relative_information_score: 106.7737, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6237, predictive_accuracy: 0.6589, prior_entropy: 0.9313, recall: 0.6589, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.5678, kappa: 0.0592, kb_relative_information_score: -9.8545, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.574, predictive_accuracy: 0.5631, prior_entropy: 0.9313, recall: 0.5631, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.661, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7601, kappa: 0.46, kb_relative_information_score: 520.6044, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7623, predictive_accuracy: 0.7682, prior_entropy: 0.9313, recall: 0.7682, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 16.5506, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 25.5764, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 57.0627, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.6675, kappa: 0.2481, kb_relative_information_score: 284.4081, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6698, predictive_accuracy: 0.6873, prior_entropy: 0.9313, recall: 0.6873, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -8.6068, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -36.0235, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -7.9826, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 0.3086, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 6.9643, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 1.5481, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 14.3323, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -114.2766, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.6872, kappa: 0.2942, kb_relative_information_score: 338.5359, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6872, predictive_accuracy: 0.7007, prior_entropy: 0.9313, recall: 0.7007, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -65.7228, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.6978, kappa: 0.3287, kb_relative_information_score: 376.3471, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7928, predictive_accuracy: 0.745, prior_entropy: 0.9313, recall: 0.745, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 29.0766, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 6.2434, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 2.5914, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 1.1073, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -30.6007, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -13.8785, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -28.606, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -2.3829, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6872, kappa: 0.2928, kb_relative_information_score: 326.0078, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.702, predictive_accuracy: 0.713, prior_entropy: 0.9313, recall: 0.713, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 121.7528, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -20.6739, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -10.0583, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8507, kappa: 0.6717, kb_relative_information_score: 976.25, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8515, predictive_accuracy: 0.8501, prior_entropy: 0.9313, recall: 0.8501, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7735, kappa: 0.4956, kb_relative_information_score: 827.811, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7724, predictive_accuracy: 0.7759, prior_entropy: 0.9313, recall: 0.7759, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 46.0399, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -41.6965, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -137.488, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0378, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -15.6476, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 4.0811, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6945, kappa: 0.3121, kb_relative_information_score: 352.402, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6935, predictive_accuracy: 0.7053, prior_entropy: 0.9313, recall: 0.7053, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 9.9514, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -21.2795, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -4.3874, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 14.7193, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -11.5679, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 34.5665, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6127, kappa: 0.1252, kb_relative_information_score: 23.3511, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6075, predictive_accuracy: 0.6321, prior_entropy: 0.9313, recall: 0.6321, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -64.557, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -36.7743, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -29.7947, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.6429, kappa: 0.1925, kb_relative_information_score: 364.6081, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6465, predictive_accuracy: 0.6698, prior_entropy: 0.9313, recall: 0.6698, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 26.2348, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5591, kappa: 0.0355, kb_relative_information_score: 29.9093, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.582, predictive_accuracy: 0.6435, prior_entropy: 0.9313, recall: 0.6435, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 55.6418, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -67.0048, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 14.882, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -33.6787, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 5.4132, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6824, kappa: 0.2816, kb_relative_information_score: 420.54, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6899, predictive_accuracy: 0.7043, prior_entropy: 0.9313, recall: 0.7043, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9188,

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