Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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13044 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, kappa: 0.0467, kb_relative_information_score: 86.7046, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0563, prior_entropy: 6.6439, recall: 0.0563, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, kappa: 0.0682, kb_relative_information_score: 120.7788, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0775, prior_entropy: 6.6439, recall: 0.0775, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1358, root_relative_squared_error: 1.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.6615, kappa: 0.5789, kb_relative_information_score: 931.5443, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8079, predictive_accuracy: 0.5831, prior_entropy: 6.6439, recall: 0.5831, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, kappa: 0.1484, kb_relative_information_score: 248.0559, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1569, prior_entropy: 6.6439, recall: 0.1569, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1299, root_relative_squared_error: 1.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.3952, kappa: 0.3801, kb_relative_information_score: 615.8569, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4284, predictive_accuracy: 0.3863, prior_entropy: 6.6439, recall: 0.3863, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1108, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.848, kappa: 0.8466, kb_relative_information_score: 1356.4697, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.853, predictive_accuracy: 0.8481, prior_entropy: 6.6439, recall: 0.8481, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, kappa: 0.072, kb_relative_information_score: 126.7919, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0813, prior_entropy: 6.6439, recall: 0.0813, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1356, root_relative_squared_error: 1.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0398, kb_relative_information_score: 75.6806, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0494, prior_entropy: 6.6439, recall: 0.0494, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8401, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8451, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, kappa: 0.0903, kb_relative_information_score: 155.8552, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0994, prior_entropy: 6.6439, recall: 0.0994, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1342, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8215, kappa: 0.8194, kb_relative_information_score: 1313.3758, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8303, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, kappa: 0.0833, kb_relative_information_score: 144.8312, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0925, prior_entropy: 6.6439, recall: 0.0925, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1347, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.6479, kappa: 0.5631, kb_relative_information_score: 906.4898, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8039, predictive_accuracy: 0.5675, prior_entropy: 6.6439, recall: 0.5675, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8433, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8477, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.779, kappa: 0.7753, kb_relative_information_score: 1243.2231, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.791, predictive_accuracy: 0.7775, prior_entropy: 6.6439, recall: 0.7775, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, kappa: 0.108, kb_relative_information_score: 183.9163, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1169, prior_entropy: 6.6439, recall: 0.1169, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1329, root_relative_squared_error: 1.3357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, kappa: 0.0909, kb_relative_information_score: 156.8573, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1, prior_entropy: 6.6439, recall: 0.1, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1342, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8444, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8497, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.6651, kappa: 0.584, kb_relative_information_score: 939.5618, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8078, predictive_accuracy: 0.5881, prior_entropy: 6.6439, recall: 0.5881, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8444, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8497, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.2895, kappa: 0.2683, kb_relative_information_score: 438.4706, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3464, predictive_accuracy: 0.2756, prior_entropy: 6.6439, recall: 0.2756, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1204, root_relative_squared_error: 1.2097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8167, kappa: 0.8087, kb_relative_information_score: 1296.3387, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8331, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, kappa: 0.0669, kb_relative_information_score: 118.7744, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0763, prior_entropy: 6.6439, recall: 0.0763, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1359, root_relative_squared_error: 1.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, kappa: 0.0896, kb_relative_information_score: 154.853, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0988, prior_entropy: 6.6439, recall: 0.0988, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1343, root_relative_squared_error: 1.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.2762, kappa: 0.2544, kb_relative_information_score: 416.4226, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3373, predictive_accuracy: 0.2619, prior_entropy: 6.6439, recall: 0.2619, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1215, root_relative_squared_error: 1.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.2204, kappa: 0.2001, kb_relative_information_score: 330.2349, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2081, prior_entropy: 6.6439, recall: 0.2081, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1258, root_relative_squared_error: 1.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8436, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.849, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.6211, kappa: 0.5278, kb_relative_information_score: 850.3676, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8016, predictive_accuracy: 0.5325, prior_entropy: 6.6439, recall: 0.5325, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8326, kappa: 0.8277, kb_relative_information_score: 1326.4042, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8435, predictive_accuracy: 0.8294, prior_entropy: 6.6439, recall: 0.8294, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0391, kb_relative_information_score: 74.6784, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0488, prior_entropy: 6.6439, recall: 0.0488, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.5411, kappa: 0.5316, kb_relative_information_score: 856.3807, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5657, predictive_accuracy: 0.5363, prior_entropy: 6.6439, recall: 0.5363, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, kappa: 0.0922, kb_relative_information_score: 158.8617, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1013, prior_entropy: 6.6439, recall: 0.1013, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1341, root_relative_squared_error: 1.3475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8443, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8496, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7657, kappa: 0.7614, kb_relative_information_score: 1221.1751, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.782, predictive_accuracy: 0.7638, prior_entropy: 6.6439, recall: 0.7638, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7981, kappa: 0.7822, kb_relative_information_score: 1254.2471, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8272, predictive_accuracy: 0.7844, prior_entropy: 6.6439, recall: 0.7844, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.6904, kappa: 0.6193, kb_relative_information_score: 995.684, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8087, predictive_accuracy: 0.6231, prior_entropy: 6.6439, recall: 0.6231, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.3043, kappa: 0.2096, kb_relative_information_score: 345.2676, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7163, predictive_accuracy: 0.2175, prior_entropy: 6.6439, recall: 0.2175, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1251, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, kappa: 0.0499, kb_relative_information_score: 91.7155, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0594, prior_entropy: 6.6439, recall: 0.0594, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8441, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8485, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, kappa: 0.0442, kb_relative_information_score: 82.6958, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0538, prior_entropy: 6.6439, recall: 0.0538, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.6047, kappa: 0.5997, kb_relative_information_score: 964.6164, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6244, predictive_accuracy: 0.6038, prior_entropy: 6.6439, recall: 0.6038, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.06, kb_relative_information_score: 107.7504, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1364, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.2862, kappa: 0.2652, kb_relative_information_score: 433.4597, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3445, predictive_accuracy: 0.2725, prior_entropy: 6.6439, recall: 0.2725, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1206, root_relative_squared_error: 1.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8027, kappa: 0.8005, kb_relative_information_score: 1283.3104, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8127, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.298, kappa: 0.2039, kb_relative_information_score: 336.248, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7203, predictive_accuracy: 0.2119, prior_entropy: 6.6439, recall: 0.2119, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1255, root_relative_squared_error: 1.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8347, kappa: 0.8302, kb_relative_information_score: 1330.4129, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8443, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.058, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.2377, kappa: 0.2159, kb_relative_information_score: 355.2895, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3071, predictive_accuracy: 0.2238, prior_entropy: 6.6439, recall: 0.2238, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1246, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, kappa: 0.0574, kb_relative_information_score: 103.7417, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0669, prior_entropy: 6.6439, recall: 0.0669, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1366, root_relative_squared_error: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.5452, kappa: 0.4419, kb_relative_information_score: 714.0708, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7872, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1051, root_relative_squared_error: 1.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, kappa: 0.0499, kb_relative_information_score: 91.7155, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0594, prior_entropy: 6.6439, recall: 0.0594, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.495, kappa: 0.3864, kb_relative_information_score: 625.8787, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7796, predictive_accuracy: 0.3925, prior_entropy: 6.6439, recall: 0.3925, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1102, root_relative_squared_error: 1.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2991, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8234, kappa: 0.8169, kb_relative_information_score: 1309.3671, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8376, predictive_accuracy: 0.8188, prior_entropy: 6.6439, recall: 0.8188, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8439, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8482, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.844, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8477, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7319, kappa: 0.7273, kb_relative_information_score: 1167.0572, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7527, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, kappa: 0.0467, kb_relative_information_score: 86.7046, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0563, prior_entropy: 6.6439, recall: 0.0563, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.3874, kappa: 0.3718, kb_relative_information_score: 602.8285, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4247, predictive_accuracy: 0.3781, prior_entropy: 6.6439, recall: 0.3781, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1115, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8446, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8488, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2194, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2984, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8448, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8467, kappa: 0.8453, kb_relative_information_score: 1354.4653, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8512, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8382, kappa: 0.8371, kb_relative_information_score: 1341.4369, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8443, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.2702, kappa: 0.2475, kb_relative_information_score: 405.3986, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3274, predictive_accuracy: 0.255, prior_entropy: 6.6439, recall: 0.255, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1221, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.6858, kappa: 0.6124, kb_relative_information_score: 984.66, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.6163, prior_entropy: 6.6439, recall: 0.6163, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.8805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.42, kappa: 0.4053, kb_relative_information_score: 655.9442, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4533, predictive_accuracy: 0.4113, prior_entropy: 6.6439, recall: 0.4113, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1085, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7403, kappa: 0.6957, kb_relative_information_score: 1116.9481, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8103, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.3071, kappa: 0.2121, kb_relative_information_score: 349.2764, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7204, predictive_accuracy: 0.22, prior_entropy: 6.6439, recall: 0.22, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1249, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, kappa: 0.0657, kb_relative_information_score: 116.77, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.075, prior_entropy: 6.6439, recall: 0.075, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.136, root_relative_squared_error: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.299, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, kappa: 0.0884, kb_relative_information_score: 152.8486, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0975, prior_entropy: 6.6439, recall: 0.0975, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1344, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, kappa: 0.0511, kb_relative_information_score: 93.7198, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0606, prior_entropy: 6.6439, recall: 0.0606, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1371, root_relative_squared_error: 1.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0398, kb_relative_information_score: 75.6806, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0494, prior_entropy: 6.6439, recall: 0.0494, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.5185, kappa: 0.4116, kb_relative_information_score: 665.966, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7813, predictive_accuracy: 0.4175, prior_entropy: 6.6439, recall: 0.4175, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1079, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, kappa: 0.0455, kb_relative_information_score: 84.7002, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.055, prior_entropy: 6.6439, recall: 0.055, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1375, root_relative_squared_error: 1.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, kappa: 0.0379, kb_relative_information_score: 72.674, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0475, prior_entropy: 6.6439, recall: 0.0475, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.138, root_relative_squared_error: 1.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, kappa: 0.0467, kb_relative_information_score: 86.7046, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0563, prior_entropy: 6.6439, recall: 0.0563, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0398, kb_relative_information_score: 75.6806, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0494, prior_entropy: 6.6439, recall: 0.0494, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.3565, kappa: 0.2563, kb_relative_information_score: 419.4291, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.744, predictive_accuracy: 0.2638, prior_entropy: 6.6439, recall: 0.2638, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1213, root_relative_squared_error: 1.2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, kappa: 0.0676, kb_relative_information_score: 119.7766, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0769, prior_entropy: 6.6439, recall: 0.0769, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1359, root_relative_squared_error: 1.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, kappa: 0.0884, kb_relative_information_score: 152.8486, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0975, prior_entropy: 6.6439, recall: 0.0975, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1344, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8436, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.849, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8446, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8486, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.2923, kappa: 0.2715, kb_relative_information_score: 443.4815, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.348, predictive_accuracy: 0.2788, prior_entropy: 6.6439, recall: 0.2788, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1201, root_relative_squared_error: 1.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, kappa: 0.0644, kb_relative_information_score: 114.7657, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0738, prior_entropy: 6.6439, recall: 0.0738, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1361, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, kappa: 0.1168, kb_relative_information_score: 197.9468, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1256, prior_entropy: 6.6439, recall: 0.1256, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1322, root_relative_squared_error: 1.3291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, kappa: 0.0492, kb_relative_information_score: 90.7133, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0588, prior_entropy: 6.6439, recall: 0.0588, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, kappa: 0.0492, kb_relative_information_score: 90.7133, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0588, prior_entropy: 6.6439, recall: 0.0588, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.379,

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