Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24107 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24107 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.7317, kappa: 0.7089, kb_relative_information_score: 0.6694, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7348, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6545, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8449, kappa: 0.8272, kb_relative_information_score: 0.834, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, weighted_recall: 0.8445, number_of_instances: 2000, precision: 0.8457, predictive_accuracy: 0.8445, prior_entropy: 3.3219, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4836, unweighted_recall: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8318, kappa: 0.8128, kb_relative_information_score: 0.8009, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, weighted_recall: 0.8315, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.8315, prior_entropy: 3.3219, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5202, unweighted_recall: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.6984, kappa: 0.665, kb_relative_information_score: 0.6124, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.18, weighted_recall: 0.6985, number_of_instances: 2000, precision: 0.7048, predictive_accuracy: 0.6985, prior_entropy: 3.3219, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.7102, unweighted_recall: 0.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.1318, kappa: 0.0817, kb_relative_information_score: 0.01, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, weighted_recall: 0.1735, number_of_instances: 2000, precision: 0.2689, predictive_accuracy: 0.1735, prior_entropy: 3.3219, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9975, unweighted_recall: 0.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.6923, kappa: 0.6583, kb_relative_information_score: 0.6043, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.18, weighted_recall: 0.6925, number_of_instances: 2000, precision: 0.6989, predictive_accuracy: 0.6925, prior_entropy: 3.3219, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7171, unweighted_recall: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.779, kappa: 0.7578, kb_relative_information_score: 0.7968, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, weighted_recall: 0.782, number_of_instances: 2000, precision: 0.7772, predictive_accuracy: 0.782, prior_entropy: 3.3219, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, unweighted_recall: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.7472, kappa: 0.72, kb_relative_information_score: 0.6724, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, weighted_recall: 0.748, number_of_instances: 2000, precision: 0.7683, predictive_accuracy: 0.748, prior_entropy: 3.3219, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6461, unweighted_recall: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, kappa: 0.0006, kb_relative_information_score: 0.0007, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1005, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8407, kappa: 0.8233, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.841, number_of_instances: 2000, precision: 0.841, predictive_accuracy: 0.841, prior_entropy: 3.3219, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.489, unweighted_recall: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8459, kappa: 0.8283, kb_relative_information_score: 0.8247, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, weighted_recall: 0.8455, number_of_instances: 2000, precision: 0.8464, predictive_accuracy: 0.8455, prior_entropy: 3.3219, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4933, unweighted_recall: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8402, kappa: 0.8217, kb_relative_information_score: 0.815, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, weighted_recall: 0.8395, number_of_instances: 2000, precision: 0.8411, predictive_accuracy: 0.8395, prior_entropy: 3.3219, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5037, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8336, kappa: 0.815, kb_relative_information_score: 0.8021, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.7864, kappa: 0.765, kb_relative_information_score: 0.7825, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, weighted_recall: 0.7885, number_of_instances: 2000, precision: 0.7887, predictive_accuracy: 0.7885, prior_entropy: 3.3219, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5473, unweighted_recall: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8415, kappa: 0.8239, kb_relative_information_score: 0.8451, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, weighted_recall: 0.8415, number_of_instances: 2000, precision: 0.8416, predictive_accuracy: 0.8415, prior_entropy: 3.3219, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4763, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8252, kappa: 0.805, kb_relative_information_score: 0.832, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, weighted_recall: 0.8245, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.8245, prior_entropy: 3.3219, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4941, unweighted_recall: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8355, kappa: 0.8172, kb_relative_information_score: 0.8029, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, weighted_recall: 0.8355, number_of_instances: 2000, precision: 0.8361, predictive_accuracy: 0.8355, prior_entropy: 3.3219, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5175, unweighted_recall: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8466, kappa: 0.8294, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, weighted_recall: 0.8465, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.8465, prior_entropy: 3.3219, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764, unweighted_recall: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.7702, kappa: 0.7461, kb_relative_information_score: 0.7554, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, weighted_recall: 0.7715, number_of_instances: 2000, precision: 0.7706, predictive_accuracy: 0.7715, prior_entropy: 3.3219, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5758, unweighted_recall: 0.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8398, kappa: 0.8222, kb_relative_information_score: 0.8254, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.84, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4976, unweighted_recall: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.6899, kappa: 0.6478, kb_relative_information_score: 0.4807, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.18, weighted_recall: 0.683, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.683, prior_entropy: 3.3219, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7798, unweighted_recall: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8165, kappa: 0.7972, kb_relative_information_score: 0.8126, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.8169, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5159, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7962, kappa: 0.7739, kb_relative_information_score: 0.8065, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, weighted_recall: 0.7965, number_of_instances: 2000, precision: 0.7971, predictive_accuracy: 0.7965, prior_entropy: 3.3219, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5238, unweighted_recall: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, kb_relative_information_score: 0.0007, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8179, kappa: 0.7989, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4979, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8393, kappa: 0.8211, kb_relative_information_score: 0.8039, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, weighted_recall: 0.839, number_of_instances: 2000, precision: 0.84, predictive_accuracy: 0.839, prior_entropy: 3.3219, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5163, unweighted_recall: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.5643, kappa: 0.52, kb_relative_information_score: 0.5312, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.18, weighted_recall: 0.568, number_of_instances: 2000, precision: 0.5725, predictive_accuracy: 0.568, prior_entropy: 3.3219, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7942, unweighted_recall: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.6894, kappa: 0.6478, kb_relative_information_score: 0.4782, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.18, weighted_recall: 0.683, number_of_instances: 2000, precision: 0.7396, predictive_accuracy: 0.683, prior_entropy: 3.3219, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.7812, unweighted_recall: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.49, kappa: 0.3994, kb_relative_information_score: 0.2224, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.18, weighted_recall: 0.4595, number_of_instances: 2000, precision: 0.7101, predictive_accuracy: 0.4595, prior_entropy: 3.3219, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9117, unweighted_recall: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.6082, kappa: 0.5661, kb_relative_information_score: 0.575, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.18, weighted_recall: 0.6095, number_of_instances: 2000, precision: 0.6162, predictive_accuracy: 0.6095, prior_entropy: 3.3219, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.7509, unweighted_recall: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8488, kappa: 0.8317, kb_relative_information_score: 0.8428, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, weighted_recall: 0.8485, number_of_instances: 2000, precision: 0.8493, predictive_accuracy: 0.8485, prior_entropy: 3.3219, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4772, unweighted_recall: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7873, kappa: 0.7678, kb_relative_information_score: 0.8045, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, weighted_recall: 0.791, number_of_instances: 2000, precision: 0.7858, predictive_accuracy: 0.791, prior_entropy: 3.3219, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5274, unweighted_recall: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8358, kappa: 0.8172, kb_relative_information_score: 0.8159, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, weighted_recall: 0.8355, number_of_instances: 2000, precision: 0.8365, predictive_accuracy: 0.8355, prior_entropy: 3.3219, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5049, unweighted_recall: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.7692, kappa: 0.7483, kb_relative_information_score: 0.786, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, weighted_recall: 0.7735, number_of_instances: 2000, precision: 0.7679, predictive_accuracy: 0.7735, prior_entropy: 3.3219, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.546, unweighted_recall: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8287, kappa: 0.8094, kb_relative_information_score: 0.8009, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, weighted_recall: 0.8285, number_of_instances: 2000, precision: 0.8295, predictive_accuracy: 0.8285, prior_entropy: 3.3219, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5206, unweighted_recall: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8377, kappa: 0.8194, kb_relative_information_score: 0.8027, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.8375, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.8375, prior_entropy: 3.3219, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.5178, unweighted_recall: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.0998, kappa: 0.0483, kb_relative_information_score: 0.0041, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, weighted_recall: 0.1435, number_of_instances: 2000, precision: 0.3521, predictive_accuracy: 0.1435, prior_entropy: 3.3219, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9994, unweighted_recall: 0.1435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, kappa: -0.0133, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, weighted_recall: 0.088, number_of_instances: 2000, predictive_accuracy: 0.088, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8357, kappa: 0.8172, kb_relative_information_score: 0.8449, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, weighted_recall: 0.8355, number_of_instances: 2000, precision: 0.8362, predictive_accuracy: 0.8355, prior_entropy: 3.3219, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4782, unweighted_recall: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8253, kappa: 0.8067, kb_relative_information_score: 0.8352, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, weighted_recall: 0.826, number_of_instances: 2000, precision: 0.8252, predictive_accuracy: 0.826, prior_entropy: 3.3219, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4906, unweighted_recall: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8418, kappa: 0.8239, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, weighted_recall: 0.8415, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.8415, prior_entropy: 3.3219, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.484, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, kb_relative_information_score: 0.0033, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001, unweighted_recall: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.5134, kappa: 0.5156, kb_relative_information_score: 0.2281, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.18, weighted_recall: 0.564, number_of_instances: 2000, precision: 0.6237, predictive_accuracy: 0.564, prior_entropy: 3.3219, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.9244, unweighted_recall: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8237, kappa: 0.805, kb_relative_information_score: 0.84, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, weighted_recall: 0.8245, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.8245, prior_entropy: 3.3219, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4861, unweighted_recall: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8263, kappa: 0.8078, kb_relative_information_score: 0.8263, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, weighted_recall: 0.827, number_of_instances: 2000, precision: 0.8261, predictive_accuracy: 0.827, prior_entropy: 3.3219, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5007, unweighted_recall: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4606, kappa: -0.0394, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, weighted_recall: 0.0645, number_of_instances: 2000, predictive_accuracy: 0.0645, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.0645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8388, kappa: 0.82, kb_relative_information_score: 0.842, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, weighted_recall: 0.838, number_of_instances: 2000, precision: 0.8396, predictive_accuracy: 0.838, prior_entropy: 3.3219, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.4822, unweighted_recall: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, kappa: 0.0006, kb_relative_information_score: 0.0011, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, weighted_recall: 0.1005, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004, unweighted_recall: 0.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8462, kappa: 0.8289, kb_relative_information_score: 0.844, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, weighted_recall: 0.846, number_of_instances: 2000, precision: 0.8466, predictive_accuracy: 0.846, prior_entropy: 3.3219, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4759, unweighted_recall: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8193, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, weighted_recall: 0.822, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5096, unweighted_recall: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7341, kappa: 0.7189, kb_relative_information_score: 0.7194, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, weighted_recall: 0.747, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.747, prior_entropy: 3.3219, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6128, unweighted_recall: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8447, kappa: 0.8272, kb_relative_information_score: 0.8407, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, weighted_recall: 0.8445, number_of_instances: 2000, precision: 0.8451, predictive_accuracy: 0.8445, prior_entropy: 3.3219, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4783, unweighted_recall: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8421, kappa: 0.8239, kb_relative_information_score: 0.816, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, weighted_recall: 0.8415, number_of_instances: 2000, precision: 0.8433, predictive_accuracy: 0.8415, prior_entropy: 3.3219, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5033, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8373, kappa: 0.8189, kb_relative_information_score: 0.8039, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, weighted_recall: 0.837, number_of_instances: 2000, precision: 0.838, predictive_accuracy: 0.837, prior_entropy: 3.3219, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5163, unweighted_recall: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8479, kappa: 0.8306, kb_relative_information_score: 0.8188, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, weighted_recall: 0.8475, number_of_instances: 2000, precision: 0.8486, predictive_accuracy: 0.8475, prior_entropy: 3.3219, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4998, unweighted_recall: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.4053, kappa: 0.3344, kb_relative_information_score: 0.3286, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.18, weighted_recall: 0.401, number_of_instances: 2000, precision: 0.4589, predictive_accuracy: 0.401, prior_entropy: 3.3219, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8899, unweighted_recall: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7989, kappa: 0.7767, kb_relative_information_score: 0.8098, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.18, weighted_recall: 0.799, number_of_instances: 2000, precision: 0.7999, predictive_accuracy: 0.799, prior_entropy: 3.3219, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5204, unweighted_recall: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, kappa: 0.0006, kb_relative_information_score: 0.0007, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1005, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.451, kappa: 0.3633, kb_relative_information_score: 0.1714, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, weighted_recall: 0.427, number_of_instances: 2000, precision: 0.6846, predictive_accuracy: 0.427, prior_entropy: 3.3219, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.934, unweighted_recall: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8222, kappa: 0.8017, kb_relative_information_score: 0.8308, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, weighted_recall: 0.8215, number_of_instances: 2000, precision: 0.8233, predictive_accuracy: 0.8215, prior_entropy: 3.3219, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, unweighted_recall: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.838, kappa: 0.8194, kb_relative_information_score: 0.8068, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, weighted_recall: 0.8375, number_of_instances: 2000, precision: 0.8391, predictive_accuracy: 0.8375, prior_entropy: 3.3219, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.5141, unweighted_recall: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7349, kappa: 0.7011, kb_relative_information_score: 0.6221, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.18, weighted_recall: 0.731, number_of_instances: 2000, precision: 0.7701, predictive_accuracy: 0.731, prior_entropy: 3.3219, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, unweighted_recall: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.2303, kappa: 0.1761, kb_relative_information_score: 0.0461, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, weighted_recall: 0.2585, number_of_instances: 2000, precision: 0.4006, predictive_accuracy: 0.2585, prior_entropy: 3.3219, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9849, unweighted_recall: 0.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8028, kappa: 0.7811, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, weighted_recall: 0.803, number_of_instances: 2000, precision: 0.8034, predictive_accuracy: 0.803, prior_entropy: 3.3219, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5163, unweighted_recall: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8153, kappa: 0.7961, kb_relative_information_score: 0.8107, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, weighted_recall: 0.8165, number_of_instances: 2000, precision: 0.8157, predictive_accuracy: 0.8165, prior_entropy: 3.3219, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.5181, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, weighted_recall: 0.8395, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8395, prior_entropy: 3.3219, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4779, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8365, kappa: 0.8183, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, weighted_recall: 0.8365, number_of_instances: 2000, precision: 0.837, predictive_accuracy: 0.8365, prior_entropy: 3.3219, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4741, unweighted_recall: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8151, kappa: 0.7928, kb_relative_information_score: 0.8015, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, weighted_recall: 0.8135, number_of_instances: 2000, precision: 0.8189, predictive_accuracy: 0.8135, prior_entropy: 3.3219, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5251, unweighted_recall: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8441, kappa: 0.8267, kb_relative_information_score: 0.8391, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, weighted_recall: 0.844, number_of_instances: 2000, precision: 0.8444, predictive_accuracy: 0.844, prior_entropy: 3.3219, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796, unweighted_recall: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8383, kappa: 0.8206, kb_relative_information_score: 0.8304, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, weighted_recall: 0.8385, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 3.3219, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4935, unweighted_recall: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.7898, kappa: 0.77, kb_relative_information_score: 0.8112, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, weighted_recall: 0.793, number_of_instances: 2000, precision: 0.7883, predictive_accuracy: 0.793, prior_entropy: 3.3219, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5202, unweighted_recall: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4814, kappa: -0.0056, kb_relative_information_score: 0.0007, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.095, number_of_instances: 2000, predictive_accuracy: 0.095, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4484, kappa: -0.0356, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, weighted_recall: 0.068, number_of_instances: 2000, predictive_accuracy: 0.068, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004, unweighted_recall: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8429, kappa: 0.825, kb_relative_information_score: 0.8439, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, weighted_recall: 0.8425, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.8425, prior_entropy: 3.3219, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4795, unweighted_recall: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7656, kappa: 0.7428, kb_relative_information_score: 0.7357, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, weighted_recall: 0.7685, number_of_instances: 2000, precision: 0.7731, predictive_accuracy: 0.7685, prior_entropy: 3.3219, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.5911, unweighted_recall: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8223, kappa: 0.8022, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, weighted_recall: 0.822, number_of_instances: 2000, precision: 0.8228, predictive_accuracy: 0.822, prior_entropy: 3.3219, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4972, unweighted_recall: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8282, kappa: 0.8089, kb_relative_information_score: 0.8009, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, weighted_recall: 0.828, number_of_instances: 2000, precision: 0.829, predictive_accuracy: 0.828, prior_entropy: 3.3219, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5206, unweighted_recall: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4577, kappa: -0.0367, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, weighted_recall: 0.067, number_of_instances: 2000, predictive_accuracy: 0.067, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8277, kappa: 0.8083, kb_relative_information_score: 0.8009, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, weighted_recall: 0.8275, number_of_instances: 2000, precision: 0.8285, predictive_accuracy: 0.8275, prior_entropy: 3.3219, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5206, unweighted_recall: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.84, kappa: 0.8217, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, weighted_recall: 0.8395, number_of_instances: 2000, precision: 0.8405, predictive_accuracy: 0.8395, prior_entropy: 3.3219, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4812, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7579, kappa: 0.7344, kb_relative_information_score: 0.7522, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, weighted_recall: 0.761, number_of_instances: 2000, precision: 0.7598, predictive_accuracy: 0.761, prior_entropy: 3.3219, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5806, unweighted_recall: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4447, kappa: -0.0378, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, weighted_recall: 0.066, number_of_instances: 2000, predictive_accuracy: 0.066, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004, unweighted_recall: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8412, kappa: 0.8233, kb_relative_information_score: 0.82, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, weighted_recall: 0.841, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.841, prior_entropy: 3.3219, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4997, unweighted_recall: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7766, kappa: 0.755, kb_relative_information_score: 0.7538, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, weighted_recall: 0.7795, number_of_instances: 2000, precision: 0.7814, predictive_accuracy: 0.7795, prior_entropy: 3.3219, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5743, unweighted_recall: 0.7795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.7617, kappa: 0.73, kb_relative_information_score: 0.6637, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.18, weighted_recall: 0.757, number_of_instances: 2000, precision: 0.7825, predictive_accuracy: 0.757, prior_entropy: 3.3219, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6484, unweighted_recall: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7979, kappa: 0.7778, kb_relative_information_score: 0.8014, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, weighted_recall: 0.8, number_of_instances: 2000, precision: 0.7973, predictive_accuracy: 0.8, prior_entropy: 3.3219, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5293, unweighted_recall: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8404, kappa: 0.8228, kb_relative_information_score: 0.821, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, weighted_recall: 0.8405, number_of_instances: 2000, precision: 0.841, predictive_accuracy: 0.8405, prior_entropy: 3.3219, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4992, unweighted_recall: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, kappa: 0.1267, kb_relative_information_score: 0.0237, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.18, weighted_recall: 0.214, number_of_instances: 2000, predictive_accuracy: 0.214, prior_entropy: 3.3219, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927, unweighted_recall: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.7562, kappa: 0.7428, kb_relative_information_score: 0.7713, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, weighted_recall: 0.7685, number_of_instances: 2000, precision: 0.7587, predictive_accuracy: 0.7685, prior_entropy: 3.3219, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5636, unweighted_recall: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.7195, kappa: 0.6911, kb_relative_information_score: 0.5444, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.18, weighted_recall: 0.722, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.722, prior_entropy: 3.3219, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.7463, unweighted_recall: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, kappa: 0.0006, kb_relative_information_score: 0.0007, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1005, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7962, kappa: 0.7739, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, weighted_recall: 0.7965, number_of_instances: 2000, precision: 0.7971, predictive_accuracy: 0.7965, prior_entropy: 3.3219, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239, unweighted_recall: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8272, kappa: 0.8078, kb_relative_information_score: 0.801, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, weighted_recall: 0.827, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.827, prior_entropy: 3.3219, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5204, unweighted_recall: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.2167, kappa: 0.1583, kb_relative_information_score: 0.0417, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.18, weighted_recall: 0.2425, number_of_instances: 2000, precision: 0.4591, predictive_accuracy: 0.2425, prior_entropy: 3.3219, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9865, unweighted_recall: 0.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8226, kappa: 0.8022, kb_relative_information_score: 0.831, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, weighted_recall: 0.822, number_of_instances: 2000, precision: 0.8236, predictive_accuracy: 0.822, prior_entropy: 3.3219, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4941, unweighted_recall: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7463, kappa: 0.7406, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, weighted_recall: 0.7665, number_of_instances: 2000, precision: 0.7496, predictive_accuracy: 0.7665, prior_entropy: 3.3219, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5725, unweighted_recall: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7961, kappa: 0.7744, kb_relative_information_score: 0.8003, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, weighted_recall: 0.797, number_of_instances: 2000, precision: 0.7971, predictive_accuracy: 0.797, prior_entropy: 3.3219, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.5302, unweighted_recall: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8304, kappa: 0.8117, kb_relative_information_score: 0.8434, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, weighted_recall: 0.8305, number_of_instances: 2000, precision: 0.8306, predictive_accuracy: 0.8305, prior_entropy: 3.3219, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4802, unweighted_recall: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.2773, kappa: 0.2039, kb_relative_information_score: 0.0642, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.18, weighted_recall: 0.2835, number_of_instances: 2000, precision: 0.5439, predictive_accuracy: 0.2835, prior_entropy: 3.3219, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9779, unweighted_recall: 0.2835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8093, kappa: 0.7856, kb_relative_information_score: 0.78, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, weighted_recall: 0.807, number_of_instances: 2000, precision: 0.8149, predictive_accuracy: 0.807, prior_entropy: 3.3219, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5442, unweighted_recall: 0.807,

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

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

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