OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.7904, kappa: 0.7891, kb_relative_information_score: 0.266, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7984, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8478, kappa: 0.8447, kb_relative_information_score: 962.2875, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8523, predictive_accuracy: 0.8463, prior_entropy: 6.6439, recall: 0.8463, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.834, kappa: 0.8302, kb_relative_information_score: 987.6113, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8413, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.1439, kb_relative_information_score: 238.2738, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.3507, kappa: 0.334, kb_relative_information_score: 542.6976, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3876, predictive_accuracy: 0.3406, prior_entropy: 6.6439, recall: 0.3406, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1148, root_relative_squared_error: 1.1542,
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: 0.9954, f_measure: 0.7925, kappa: 0.7967, kb_relative_information_score: 1157.6799, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8026, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.796, kappa: 0.7936, kb_relative_information_score: 952.2013, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.806, predictive_accuracy: 0.7956, prior_entropy: 6.6439, recall: 0.7956, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7345, kappa: 0.75, kb_relative_information_score: 978.7213, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.765, predictive_accuracy: 0.7525, prior_entropy: 6.6439, recall: 0.7525, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.6636, kappa: 0.6679, kb_relative_information_score: 1147.307, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6719, predictive_accuracy: 0.6713, prior_entropy: 6.6439, recall: 0.6713, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8354, kappa: 0.8321, kb_relative_information_score: 987.1376, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8425, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8298,
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: 0.8485, 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: 0.9966, f_measure: 0.8354, kappa: 0.8321, kb_relative_information_score: 986.0067, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8428, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.652, kappa: 0.6559, kb_relative_information_score: 1162.9324, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.661, predictive_accuracy: 0.6594, prior_entropy: 6.6439, recall: 0.6594, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.7198,
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: 0.9871, f_measure: 0.6392, kappa: 0.6528, kb_relative_information_score: 764.0465, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6546, predictive_accuracy: 0.6563, prior_entropy: 6.6439, recall: 0.6563, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4362, kappa: 0.0025, kb_relative_information_score: 13.3052, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8442, 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: 0.8493, 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: 0.9943, f_measure: 0.7013, kappa: 0.7172, kb_relative_information_score: 947.6573, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.739, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8646,
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: 0.576, kappa: 0.0025, kb_relative_information_score: 56.8153, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, kappa: 0.0025, kb_relative_information_score: 33.0329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
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: 0.9938, f_measure: 0.7829, kappa: 0.7835, kb_relative_information_score: 0.2887, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7949, predictive_accuracy: 0.7856, prior_entropy: 6.6439, recall: 0.7856, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7262, kappa: 0.7405, kb_relative_information_score: 954.3491, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7571, predictive_accuracy: 0.7431, prior_entropy: 6.6439, recall: 0.7431, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8616,
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: 0.4814, kappa: 0.0025, kb_relative_information_score: 70.9021, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8452, kappa: 0.8434, kb_relative_information_score: 1351.4588, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8494, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5596,
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: 0.9726, kappa: 0.4779, kb_relative_information_score: 556.2071, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4831, prior_entropy: 6.6439, recall: 0.4831, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7792, kappa: 0.7734, kb_relative_information_score: 944.9881, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7935, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, kappa: 0.1244, kb_relative_information_score: 209.973, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1331, prior_entropy: 6.6439, recall: 0.1331, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1317, root_relative_squared_error: 1.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8286, kappa: 0.8245, kb_relative_information_score: 992.003, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8372, predictive_accuracy: 0.8263, prior_entropy: 6.6439, recall: 0.8263, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.827, kappa: 0.8232, kb_relative_information_score: 986.7966, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8359, predictive_accuracy: 0.825, prior_entropy: 6.6439, recall: 0.825, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8099, kappa: 0.8049, kb_relative_information_score: 974.9739, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8208, predictive_accuracy: 0.8069, prior_entropy: 6.6439, recall: 0.8069, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.6934, kappa: 0.6742, kb_relative_information_score: 1201.8241, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7464, predictive_accuracy: 0.6775, prior_entropy: 6.6439, recall: 0.6775, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, kappa: 0.2475, kb_relative_information_score: 0.0744, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.255, prior_entropy: 6.6439, recall: 0.255, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.5678, kappa: 0.5915, kb_relative_information_score: 1022.6859, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5943, predictive_accuracy: 0.5956, prior_entropy: 6.6439, recall: 0.5956, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, kappa: 0.1717, kb_relative_information_score: 283.963, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.18, prior_entropy: 6.6439, recall: 0.18, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.7422, kappa: 0.7449, kb_relative_information_score: 0.5714, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7487, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, kappa: 0.4148, kb_relative_information_score: 558.4591, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4206, prior_entropy: 6.6439, recall: 0.4206, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, kappa: 0.2727, kb_relative_information_score: 400.8959, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.28, prior_entropy: 6.6439, recall: 0.28, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.097, root_relative_squared_error: 0.9753,
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: 0.9952, f_measure: 0.7496, kappa: 0.7582, kb_relative_information_score: 1044.607, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7742, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4307, kappa: 0.1408, kb_relative_information_score: 47.2483, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1494, prior_entropy: 6.6439, recall: 0.1494, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, kappa: 0.0025, kb_relative_information_score: 31.8352, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1945, kappa: -0.0076, kb_relative_information_score: 3.0455, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
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: 0.9869, f_measure: 0.6818, kappa: 0.6869, kb_relative_information_score: 1129.7461, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6908, predictive_accuracy: 0.69, prior_entropy: 6.6439, recall: 0.69, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.6136, kb_relative_information_score: 1052.8867, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8048, kappa: 0.8106, kb_relative_information_score: 1169.2897, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8119, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.7177,
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: 0.5234, 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: 0.7298, f_measure: 0.472, kappa: 0.4596, kb_relative_information_score: 742.1319, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4994, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1034, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8458, kappa: 0.8422, kb_relative_information_score: 962.6684, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8516, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.433, kappa: -0.0025, kb_relative_information_score: 47.2998, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.4331, kappa: 0.4501, kb_relative_information_score: 0.0721, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4956, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, kappa: 0.339, kb_relative_information_score: 155.8559, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3456, prior_entropy: 6.6439, recall: 0.3456, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.6518, kappa: 0.6547, kb_relative_information_score: 807.0857, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6993, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, kappa: 0.0025, kb_relative_information_score: 64.5143, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.7166, kappa: 0.7165, kb_relative_information_score: 1223.4294, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7232, predictive_accuracy: 0.7194, prior_entropy: 6.6439, recall: 0.7194, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7617, kappa: 0.7633, kb_relative_information_score: 939.2426, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7724, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, kappa: 0.4015, kb_relative_information_score: 940.93, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7619, kappa: 0.762, kb_relative_information_score: 946.0543, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7747, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, kappa: 0.6244, kb_relative_information_score: 1055.202, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6281, prior_entropy: 6.6439, recall: 0.6281, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.635, kappa: 0.6212, kb_relative_information_score: 802.5329, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6673, predictive_accuracy: 0.625, prior_entropy: 6.6439, recall: 0.625, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8323, kappa: 0.8283, kb_relative_information_score: 987.207, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8405, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.7189, kappa: 0.7197, kb_relative_information_score: 1209.5112, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7227, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3421, kappa: -0.0038, kb_relative_information_score: 24.2996, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8136, kappa: 0.815, kb_relative_information_score: 1.1663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8181, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8364, kappa: 0.8333, kb_relative_information_score: 989.848, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8433, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.84, kappa: 0.8422, kb_relative_information_score: 1157.1014, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8452, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, kappa: 0.154, kb_relative_information_score: 292.7964, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1625, prior_entropy: 6.6439, recall: 0.1625, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7183, kappa: 0.7292, kb_relative_information_score: 1062.8046, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7428, predictive_accuracy: 0.7319, prior_entropy: 6.6439, recall: 0.7319, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8417, kappa: 0.8384, kb_relative_information_score: 951.6392, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8467, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.712, kappa: 0.697, kb_relative_information_score: 1176.2675, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7541, predictive_accuracy: 0.7, prior_entropy: 6.6439, recall: 0.7, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.833, kappa: 0.8295, kb_relative_information_score: 986.8685, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8411, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kappa: 0.0032, kb_relative_information_score: 31.5083, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4565, kappa: -0.0025, kb_relative_information_score: 21.2248, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8051, kappa: 0.8005, kb_relative_information_score: 969.5951, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8156, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, kappa: 0.0152, kb_relative_information_score: 53.6549, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.025, prior_entropy: 6.6439, recall: 0.025, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8176, kappa: 0.8138, kb_relative_information_score: 979.0025, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8275, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, kappa: 0.3283, kb_relative_information_score: 502.613, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.335, prior_entropy: 6.6439, recall: 0.335, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3296, kappa: -0.0101, kb_relative_information_score: 17.8623, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.7468, kappa: 0.7475, kb_relative_information_score: 923.0595, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7826, kappa: 0.791, kb_relative_information_score: 1069.3591, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.771, kappa: 0.7771, kb_relative_information_score: 1156.0771, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7869, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8354, kappa: 0.8321, kb_relative_information_score: 987.0791, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.843, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7803, kappa: 0.7854, kb_relative_information_score: 1115.5546, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7986, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, kappa: 0.7513, kb_relative_information_score: 851.4961, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.3456, kappa: 0.2847, kb_relative_information_score: 215.8145, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5633, predictive_accuracy: 0.2919, prior_entropy: 6.6439, recall: 0.2919, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.3994, kappa: 0.3693, kb_relative_information_score: 569.8588, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4806, predictive_accuracy: 0.3756, prior_entropy: 6.6439, recall: 0.3756, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8476, kappa: 0.8441, kb_relative_information_score: 956.9047, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8531, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8296, kappa: 0.8264, kb_relative_information_score: 981.5725, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8359, predictive_accuracy: 0.8281, prior_entropy: 6.6439, recall: 0.8281, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, kappa: 0.0082, kb_relative_information_score: 41.6093, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0181, prior_entropy: 6.6439, recall: 0.0181, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, kappa: 0.3112, kb_relative_information_score: 266.6499, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3181, prior_entropy: 6.6439, recall: 0.3181, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7823, kappa: 0.7872, kb_relative_information_score: 1155.8957, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7948, predictive_accuracy: 0.7894, prior_entropy: 6.6439, recall: 0.7894, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, kappa: 0.1723, kb_relative_information_score: 325.3556, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1806, prior_entropy: 6.6439, recall: 0.1806, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.6765, kappa: 0.6799, kb_relative_information_score: 1144.7843, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.681, predictive_accuracy: 0.6831, prior_entropy: 6.6439, recall: 0.6831, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.835, kappa: 0.8308, kb_relative_information_score: 990.5587, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8419, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8289,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs