OpenML
Supervised Classification on artificial-characters

Supervised Classification on artificial-characters

Task 14964 Supervised Classification artificial-characters 11744 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.3876, kappa: 0.3297, kb_relative_information_score: 3828.7958, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4084, predictive_accuracy: 0.4, prior_entropy: 3.2849, recall: 0.4, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.7149, kappa: 0.6815, kb_relative_information_score: 7418.9667, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.72, predictive_accuracy: 0.7146, prior_entropy: 3.2849, recall: 0.7146, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.3376, kappa: 0.2741, kb_relative_information_score: 2983.2685, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3571, predictive_accuracy: 0.3499, prior_entropy: 3.2849, recall: 0.3499, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.3875, kappa: 0.329, kb_relative_information_score: 3821.4118, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.408, predictive_accuracy: 0.3994, prior_entropy: 3.2849, recall: 0.3994, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.3216, kappa: 0.2667, kb_relative_information_score: 2892.3961, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3506, predictive_accuracy: 0.3445, prior_entropy: 3.2849, recall: 0.3445, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, kappa: 0.0987, kb_relative_information_score: 1204.3273, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.209, prior_entropy: 3.2849, recall: 0.209, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.1833, kappa: 0.1488, kb_relative_information_score: 1677.8861, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2609, predictive_accuracy: 0.2449, prior_entropy: 3.2849, recall: 0.2449, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, kappa: 0.073, kb_relative_information_score: 782.5901, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1885, prior_entropy: 3.2849, recall: 0.1885, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.4931, kappa: 0.4402, kb_relative_information_score: 5092.854, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5092, predictive_accuracy: 0.4979, prior_entropy: 3.2849, recall: 0.4979, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.3787, kappa: 0.3185, kb_relative_information_score: 3690.533, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3983, predictive_accuracy: 0.39, prior_entropy: 3.2849, recall: 0.39, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.7074, kappa: 0.6731, kb_relative_information_score: 7363.2932, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7136, predictive_accuracy: 0.7071, prior_entropy: 3.2849, recall: 0.7071, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.2072, kappa: 0.1422, kb_relative_information_score: 1435.9437, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2759, predictive_accuracy: 0.236, prior_entropy: 3.2849, recall: 0.236, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.314, kappa: 0.2578, kb_relative_information_score: 2687.505, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3616, predictive_accuracy: 0.3348, prior_entropy: 3.2849, recall: 0.3348, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.6046, kappa: 0.5621, kb_relative_information_score: 6591.9892, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.615, predictive_accuracy: 0.6074, prior_entropy: 3.2849, recall: 0.6074, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.2765, kappa: 0.2355, kb_relative_information_score: 2273.8183, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3688, predictive_accuracy: 0.3138, prior_entropy: 3.2849, recall: 0.3138, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.3692, kappa: 0.3059, kb_relative_information_score: 3568.2649, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3841, predictive_accuracy: 0.3786, prior_entropy: 3.2849, recall: 0.3786, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.3197, kappa: 0.2585, kb_relative_information_score: 2773.633, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3647, predictive_accuracy: 0.3362, prior_entropy: 3.2849, recall: 0.3362, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.1521, kappa: 0.0777, kb_relative_information_score: 1148.9992, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.1515, predictive_accuracy: 0.1863, prior_entropy: 3.2849, recall: 0.1863, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.3178, kappa: 0.26, kb_relative_information_score: 2824.4406, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3514, predictive_accuracy: 0.338, prior_entropy: 3.2849, recall: 0.338, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.3264, kappa: 0.2721, kb_relative_information_score: 2919.6285, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3633, predictive_accuracy: 0.3487, prior_entropy: 3.2849, recall: 0.3487, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, kappa: 0.0369, kb_relative_information_score: 411.3044, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.166, prior_entropy: 3.2849, recall: 0.166, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, kappa: 0.0687, kb_relative_information_score: 584.0844, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1823, prior_entropy: 3.2849, recall: 0.1823, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.3235, kappa: 0.2669, kb_relative_information_score: 2887.058, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.356, predictive_accuracy: 0.3439, prior_entropy: 3.2849, recall: 0.3439, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.7282, kappa: 0.6963, kb_relative_information_score: 7451.2392, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.734, predictive_accuracy: 0.7278, prior_entropy: 3.2849, recall: 0.7278, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, kappa: 0.0566, kb_relative_information_score: 606.3298, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1737, prior_entropy: 3.2849, recall: 0.1737, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.472, kappa: 0.4177, kb_relative_information_score: 4926.7719, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4918, predictive_accuracy: 0.4781, prior_entropy: 3.2849, recall: 0.4781, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.4289, kappa: 0.3721, kb_relative_information_score: 4191.858, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4479, predictive_accuracy: 0.4376, prior_entropy: 3.2849, recall: 0.4376, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.259, root_relative_squared_error: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.2734, kappa: 0.1988, kb_relative_information_score: 2679.0171, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2851, predictive_accuracy: 0.2838, prior_entropy: 3.2849, recall: 0.2838, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, kappa: 0.0372, kb_relative_information_score: 712.3378, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1552, prior_entropy: 3.2849, recall: 0.1552, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.4223, kappa: 0.3649, kb_relative_information_score: 4181.7157, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4426, predictive_accuracy: 0.4311, prior_entropy: 3.2849, recall: 0.4311, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, kappa: 0.0684, kb_relative_information_score: 884.8052, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1858, prior_entropy: 3.2849, recall: 0.1858, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, kappa: 0.2064, kb_relative_information_score: 2003.9719, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.2862, prior_entropy: 3.2849, recall: 0.2862, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.3919, kappa: 0.3325, kb_relative_information_score: 3863.8893, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4125, predictive_accuracy: 0.4024, prior_entropy: 3.2849, recall: 0.4024, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.3901, kappa: 0.3315, kb_relative_information_score: 3807.512, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4108, predictive_accuracy: 0.4014, prior_entropy: 3.2849, recall: 0.4014, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.0915, kappa: 0.0546, kb_relative_information_score: 592.9997, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.1223, predictive_accuracy: 0.1774, prior_entropy: 3.2849, recall: 0.1774, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.1961, kappa: 0.1359, kb_relative_information_score: 1767.4591, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2581, predictive_accuracy: 0.232, prior_entropy: 3.2849, recall: 0.232, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.5844, kappa: 0.5433, kb_relative_information_score: 6268.0466, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5839, predictive_accuracy: 0.5912, prior_entropy: 3.2849, recall: 0.5912, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, kappa: 0.0409, kb_relative_information_score: 565.6368, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1592, prior_entropy: 3.2849, recall: 0.1592, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.2305, kappa: 0.1709, kb_relative_information_score: 2445.3751, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2282, predictive_accuracy: 0.2605, prior_entropy: 3.2849, recall: 0.2605, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, kappa: 0.0674, kb_relative_information_score: 712.6061, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1875, prior_entropy: 3.2849, recall: 0.1875, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.342, kappa: 0.2774, kb_relative_information_score: 3186.6354, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.359, predictive_accuracy: 0.3534, prior_entropy: 3.2849, recall: 0.3534, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, kappa: 0.2001, kb_relative_information_score: 1938.5501, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.2788, prior_entropy: 3.2849, recall: 0.2788, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.4324, kappa: 0.3756, kb_relative_information_score: 4216.0592, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4505, predictive_accuracy: 0.4406, prior_entropy: 3.2849, recall: 0.4406, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.2833, kappa: 0.2406, kb_relative_information_score: 2335.7581, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3507, predictive_accuracy: 0.3189, prior_entropy: 3.2849, recall: 0.3189, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, kappa: 0.0669, kb_relative_information_score: 623.2491, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1798, prior_entropy: 3.2849, recall: 0.1798, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.1016, kappa: 0.0669, kb_relative_information_score: 655.2212, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.1398, predictive_accuracy: 0.1883, prior_entropy: 3.2849, recall: 0.1883, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.6944, kappa: 0.6604, kb_relative_information_score: 7186.7709, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7032, predictive_accuracy: 0.6955, prior_entropy: 3.2849, recall: 0.6955, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6582,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.6849, kappa: 0.6489, kb_relative_information_score: 7052.6405, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6851, predictive_accuracy: 0.6858, prior_entropy: 3.2849, recall: 0.6858, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.202, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, kappa: 0.0704, kb_relative_information_score: 798.7204, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1902, prior_entropy: 3.2849, recall: 0.1902, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, kappa: 0.0677, kb_relative_information_score: 980.6761, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1845, prior_entropy: 3.2849, recall: 0.1845, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.3928, kappa: 0.3351, kb_relative_information_score: 3882.1677, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4133, predictive_accuracy: 0.4048, prior_entropy: 3.2849, recall: 0.4048, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8811,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.2148, kappa: 0.1524, kb_relative_information_score: 2084.155, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2138, predictive_accuracy: 0.2452, prior_entropy: 3.2849, recall: 0.2452, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.5438, kappa: 0.4982, kb_relative_information_score: 5926.1387, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5564, predictive_accuracy: 0.5499, prior_entropy: 3.2849, recall: 0.5499, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.2043, kappa: 0.141, kb_relative_information_score: 1798.2037, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2569, predictive_accuracy: 0.2361, prior_entropy: 3.2849, recall: 0.2361, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9682,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.5662, kappa: 0.5206, kb_relative_information_score: 6202.8964, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.578, predictive_accuracy: 0.57, prior_entropy: 3.2849, recall: 0.57, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.4671, kappa: 0.4231, kb_relative_information_score: 5492.5182, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.471, predictive_accuracy: 0.4849, prior_entropy: 3.2849, recall: 0.4849, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.7984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, kappa: 0.0796, kb_relative_information_score: 729.6893, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1944, prior_entropy: 3.2849, recall: 0.1944, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.1923, kappa: 0.1192, kb_relative_information_score: 1516.6268, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.1992, predictive_accuracy: 0.2192, prior_entropy: 3.2849, recall: 0.2192, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.3631, kappa: 0.3087, kb_relative_information_score: 3148.2644, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3938, predictive_accuracy: 0.3851, prior_entropy: 3.2849, recall: 0.3851, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.3117, kappa: 0.2519, kb_relative_information_score: 2619.2186, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3391, predictive_accuracy: 0.3281, prior_entropy: 3.2849, recall: 0.3281, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.5804, kappa: 0.5348, kb_relative_information_score: 6335.432, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5899, predictive_accuracy: 0.5829, prior_entropy: 3.2849, recall: 0.5829, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.1708, kappa: 0.0912, kb_relative_information_score: 1093.4351, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.228, predictive_accuracy: 0.1877, prior_entropy: 3.2849, recall: 0.1877, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.6944, kappa: 0.6595, kb_relative_information_score: 7109.743, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6951, predictive_accuracy: 0.6951, prior_entropy: 3.2849, recall: 0.6951, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.6334, kappa: 0.5953, kb_relative_information_score: 6819.162, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6391, predictive_accuracy: 0.6371, prior_entropy: 3.2849, recall: 0.6371, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.209, root_relative_squared_error: 0.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.3374, kappa: 0.2753, kb_relative_information_score: 3084.8027, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3544, predictive_accuracy: 0.3513, prior_entropy: 3.2849, recall: 0.3513, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.3185, kappa: 0.2577, kb_relative_information_score: 2689.4176, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3631, predictive_accuracy: 0.3341, prior_entropy: 3.2849, recall: 0.3341, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.5106, kappa: 0.4604, kb_relative_information_score: 5458.5024, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5266, predictive_accuracy: 0.516, prior_entropy: 3.2849, recall: 0.516, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.6188, kappa: 0.5787, kb_relative_information_score: 6742.2166, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6288, predictive_accuracy: 0.6222, prior_entropy: 3.2849, recall: 0.6222, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.7075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.503, kappa: 0.4614, kb_relative_information_score: 5525.2696, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5186, predictive_accuracy: 0.5176, prior_entropy: 3.2849, recall: 0.5176, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.3196, kappa: 0.2582, kb_relative_information_score: 2693.132, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3644, predictive_accuracy: 0.3351, prior_entropy: 3.2849, recall: 0.3351, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.2969, kappa: 0.2553, kb_relative_information_score: 2234.9688, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3822, predictive_accuracy: 0.3309, prior_entropy: 3.2849, recall: 0.3309, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.5108, kappa: 0.4605, kb_relative_information_score: 5397.7647, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5269, predictive_accuracy: 0.5161, prior_entropy: 3.2849, recall: 0.5161, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.6198, kappa: 0.5794, kb_relative_information_score: 6746.4342, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6289, predictive_accuracy: 0.6229, prior_entropy: 3.2849, recall: 0.6229, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.5167, kappa: 0.4694, kb_relative_information_score: 5640.4387, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5337, predictive_accuracy: 0.5243, prior_entropy: 3.2849, recall: 0.5243, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.4519, kappa: 0.3946, kb_relative_information_score: 4563.1652, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4689, predictive_accuracy: 0.4574, prior_entropy: 3.2849, recall: 0.4574, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.4611, kappa: 0.4181, kb_relative_information_score: 5313.5017, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4731, predictive_accuracy: 0.4808, prior_entropy: 3.2849, recall: 0.4808, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8685, kappa: 0.8533, kb_relative_information_score: 8256.4783, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.8686, predictive_accuracy: 0.8688, prior_entropy: 3.2849, recall: 0.8688, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, kappa: 0.0762, kb_relative_information_score: 675.2383, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1842, prior_entropy: 3.2849, recall: 0.1842, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.4602, kappa: 0.4188, kb_relative_information_score: 5327.8412, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4717, predictive_accuracy: 0.4815, prior_entropy: 3.2849, recall: 0.4815, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.5526, kappa: 0.5069, kb_relative_information_score: 5997.1159, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5652, predictive_accuracy: 0.5577, prior_entropy: 3.2849, recall: 0.5577, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.758,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.3093, kappa: 0.2514, kb_relative_information_score: 2574.7794, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3469, predictive_accuracy: 0.3278, prior_entropy: 3.2849, recall: 0.3278, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.3702, kappa: 0.3067, kb_relative_information_score: 3563.6137, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3852, predictive_accuracy: 0.3793, prior_entropy: 3.2849, recall: 0.3793, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.3273, kappa: 0.2657, kb_relative_information_score: 2710.8278, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3696, predictive_accuracy: 0.3414, prior_entropy: 3.2849, recall: 0.3414, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, kappa: 0.0583, kb_relative_information_score: 721.1891, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1801, prior_entropy: 3.2849, recall: 0.1801, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.4984, kappa: 0.447, kb_relative_information_score: 5410.1584, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5165, predictive_accuracy: 0.504, prior_entropy: 3.2849, recall: 0.504, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.3309, kappa: 0.2694, kb_relative_information_score: 2847.4013, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.362, predictive_accuracy: 0.3455, prior_entropy: 3.2849, recall: 0.3455, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.3233, kappa: 0.2701, kb_relative_information_score: 2841.7445, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3682, predictive_accuracy: 0.3466, prior_entropy: 3.2849, recall: 0.3466, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.192, kappa: 0.1565, kb_relative_information_score: 1747.2186, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.349, predictive_accuracy: 0.2349, prior_entropy: 3.2849, recall: 0.2349, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.5694, kappa: 0.5247, kb_relative_information_score: 6245.5728, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5807, predictive_accuracy: 0.5738, prior_entropy: 3.2849, recall: 0.5738, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.7443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.4324, kappa: 0.3757, kb_relative_information_score: 4209.442, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4504, predictive_accuracy: 0.4408, prior_entropy: 3.2849, recall: 0.4408, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, kappa: 0.0354, kb_relative_information_score: 573.5895, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1545, prior_entropy: 3.2849, recall: 0.1545, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8136, kappa: 0.7921, kb_relative_information_score: 7898.7332, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.8138, predictive_accuracy: 0.814, prior_entropy: 3.2849, recall: 0.814, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5559,

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