OpenML
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14954 Supervised Classification cylinder-bands 6644 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7645, kappa: 0.5149, kb_relative_information_score: 0.5167, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7655, predictive_accuracy: 0.7667, prior_entropy: 0.9825, recall: 0.7667, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.483, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7505, kappa: 0.4858, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7526, predictive_accuracy: 0.7537, prior_entropy: 0.9825, recall: 0.7537, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6694, kappa: 0.3463, kb_relative_information_score: 0.3939, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7664, predictive_accuracy: 0.7074, prior_entropy: 0.9825, recall: 0.7074, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7655, kappa: 0.5189, kb_relative_information_score: 0.5359, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7914, predictive_accuracy: 0.7759, prior_entropy: 0.9825, recall: 0.7759, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.771, kappa: 0.5291, kb_relative_information_score: 0.5435, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7911, predictive_accuracy: 0.7796, prior_entropy: 0.9825, recall: 0.7796, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7458, kappa: 0.4759, kb_relative_information_score: 0.486, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7535, predictive_accuracy: 0.7519, prior_entropy: 0.9825, recall: 0.7519, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5272, kappa: 0.1255, kb_relative_information_score: 0.2175, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7107, predictive_accuracy: 0.6222, prior_entropy: 0.9825, recall: 0.6222, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6146, root_relative_squared_error: 1.2444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.743, kappa: 0.4703, kb_relative_information_score: 0.4745, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7449, predictive_accuracy: 0.7463, prior_entropy: 0.9825, recall: 0.7463, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8236, kappa: 0.6375, kb_relative_information_score: 0.6356, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8235, predictive_accuracy: 0.8241, prior_entropy: 0.9825, recall: 0.8241, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7523, kappa: 0.4892, kb_relative_information_score: 0.4975, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7584, predictive_accuracy: 0.7574, prior_entropy: 0.9825, recall: 0.7574, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7684, kappa: 0.5243, kb_relative_information_score: 0.5397, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7906, predictive_accuracy: 0.7778, prior_entropy: 0.9825, recall: 0.7778, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.6135, kappa: 0.2036, kb_relative_information_score: 0.2213, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6163, predictive_accuracy: 0.6241, prior_entropy: 0.9825, recall: 0.6241, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6131, root_relative_squared_error: 1.2414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8436, kappa: 0.6781, kb_relative_information_score: 0.6778, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8442, predictive_accuracy: 0.8444, prior_entropy: 0.9825, recall: 0.8444, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8236, kappa: 0.6375, kb_relative_information_score: 0.6356, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8235, predictive_accuracy: 0.8241, prior_entropy: 0.9825, recall: 0.8241, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8436, kappa: 0.6781, kb_relative_information_score: 0.6778, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8442, predictive_accuracy: 0.8444, prior_entropy: 0.9825, recall: 0.8444, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8493, kappa: 0.6902, kb_relative_information_score: 0.6893, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9825, recall: 0.85, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8512, kappa: 0.6942, kb_relative_information_score: 0.6931, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8515, predictive_accuracy: 0.8519, prior_entropy: 0.9825, recall: 0.8519, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8455, kappa: 0.6822, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.846, predictive_accuracy: 0.8463, prior_entropy: 0.9825, recall: 0.8463, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8236, kappa: 0.6375, kb_relative_information_score: 0.6356, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8235, predictive_accuracy: 0.8241, prior_entropy: 0.9825, recall: 0.8241, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7526, kappa: 0.49, kb_relative_information_score: 0.4937, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7544, predictive_accuracy: 0.7556, prior_entropy: 0.9825, recall: 0.7556, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8274, kappa: 0.6455, kb_relative_information_score: 0.6433, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8273, predictive_accuracy: 0.8278, prior_entropy: 0.9825, recall: 0.8278, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8327, kappa: 0.656, kb_relative_information_score: 0.6548, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8328, predictive_accuracy: 0.8333, prior_entropy: 0.9825, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8454, kappa: 0.6818, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8462, predictive_accuracy: 0.8463, prior_entropy: 0.9825, recall: 0.8463, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.5459, kappa: 0.0684, kb_relative_information_score: 0.0602, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5455, predictive_accuracy: 0.5463, prior_entropy: 0.9825, recall: 0.5463, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6736, root_relative_squared_error: 1.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8329, kappa: 0.6568, kb_relative_information_score: 0.6548, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8328, predictive_accuracy: 0.8333, prior_entropy: 0.9825, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8273, kappa: 0.6451, kb_relative_information_score: 0.6433, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8272, predictive_accuracy: 0.8278, prior_entropy: 0.9825, recall: 0.8278, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7512, kappa: 0.4869, kb_relative_information_score: 0.4937, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7555, predictive_accuracy: 0.7556, prior_entropy: 0.9825, recall: 0.7556, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8419, kappa: 0.6749, kb_relative_information_score: 0.6739, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8422, predictive_accuracy: 0.8426, prior_entropy: 0.9825, recall: 0.8426, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.8305, kappa: 0.6511, kb_relative_information_score: 0.6509, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8311, predictive_accuracy: 0.8315, prior_entropy: 0.9825, recall: 0.8315, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7777, kappa: 0.5421, kb_relative_information_score: 0.5435, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7787, predictive_accuracy: 0.7796, prior_entropy: 0.9825, recall: 0.7796, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5076, kappa: 0.0999, kb_relative_information_score: 0.1983, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7066, predictive_accuracy: 0.613, prior_entropy: 0.9825, recall: 0.613, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6136, kappa: 0.2557, kb_relative_information_score: 0.321, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.6722, prior_entropy: 0.9825, recall: 0.6722, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.4759, kappa: 0.0592, kb_relative_information_score: 0.1676, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6891, predictive_accuracy: 0.5981, prior_entropy: 0.9825, recall: 0.5981, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6339, root_relative_squared_error: 1.2835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7442, kappa: 0.4726, kb_relative_information_score: 0.4783, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7473, predictive_accuracy: 0.7481, prior_entropy: 0.9825, recall: 0.7481, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.4518, kappa: 0.0353, kb_relative_information_score: 0.1523, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7604, predictive_accuracy: 0.5907, prior_entropy: 0.9825, recall: 0.5907, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7445, kappa: 0.4741, kb_relative_information_score: 0.4745, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7447, predictive_accuracy: 0.7463, prior_entropy: 0.9825, recall: 0.7463, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7463, kappa: 0.4776, kb_relative_information_score: 0.4783, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7465, predictive_accuracy: 0.7481, prior_entropy: 0.9825, recall: 0.7481, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7651, kappa: 0.5166, kb_relative_information_score: 0.5167, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7654, predictive_accuracy: 0.7667, prior_entropy: 0.9825, recall: 0.7667, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.483, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.4655, kappa: 0.0479, kb_relative_information_score: 0.1599, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6971, predictive_accuracy: 0.5944, prior_entropy: 0.9825, recall: 0.5944, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8293, kappa: 0.6496, kb_relative_information_score: 0.6471, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8292, predictive_accuracy: 0.8296, prior_entropy: 0.9825, recall: 0.8296, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.4499, kappa: 0.0279, kb_relative_information_score: 0.1446, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6657, predictive_accuracy: 0.587, prior_entropy: 0.9825, recall: 0.587, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6426, root_relative_squared_error: 1.3011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6965, kappa: 0.3867, kb_relative_information_score: 0.4208, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7489, predictive_accuracy: 0.7204, prior_entropy: 0.9825, recall: 0.7204, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.8037, kappa: 0.5955, kb_relative_information_score: 0.5972, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8054, predictive_accuracy: 0.8056, prior_entropy: 0.9825, recall: 0.8056, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8439, kappa: 0.6793, kb_relative_information_score: 0.6778, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.844, predictive_accuracy: 0.8444, prior_entropy: 0.9825, recall: 0.8444, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7561, kappa: 0.4983, kb_relative_information_score: 0.4975, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.756, predictive_accuracy: 0.7574, prior_entropy: 0.9825, recall: 0.7574, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7491, kappa: 0.4828, kb_relative_information_score: 0.486, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7505, predictive_accuracy: 0.7519, prior_entropy: 0.9825, recall: 0.7519, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.4438, kappa: 0.0253, kb_relative_information_score: 0.1446, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7592, predictive_accuracy: 0.587, prior_entropy: 0.9825, recall: 0.587, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6426, root_relative_squared_error: 1.3011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.4627, kappa: 0.0466, kb_relative_information_score: 0.1599, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7235, predictive_accuracy: 0.5944, prior_entropy: 0.9825, recall: 0.5944, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7447, kappa: 0.4747, kb_relative_information_score: 0.4745, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7447, predictive_accuracy: 0.7463, prior_entropy: 0.9825, recall: 0.7463, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.771, kappa: 0.529, kb_relative_information_score: 0.5282, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.771, predictive_accuracy: 0.7722, prior_entropy: 0.9825, recall: 0.7722, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.753, kappa: 0.4925, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.7537, prior_entropy: 0.9825, recall: 0.7537, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.753, kappa: 0.4925, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.7537, prior_entropy: 0.9825, recall: 0.7537, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7737, kappa: 0.5339, kb_relative_information_score: 0.5359, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.775, predictive_accuracy: 0.7759, prior_entropy: 0.9825, recall: 0.7759, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8309, kappa: 0.6523, kb_relative_information_score: 0.6509, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8309, predictive_accuracy: 0.8315, prior_entropy: 0.9825, recall: 0.8315, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7567, kappa: 0.5001, kb_relative_information_score: 0.4975, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7564, predictive_accuracy: 0.7574, prior_entropy: 0.9825, recall: 0.7574, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8309, kappa: 0.6523, kb_relative_information_score: 0.6509, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8309, predictive_accuracy: 0.8315, prior_entropy: 0.9825, recall: 0.8315, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.753, kappa: 0.4925, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.7537, prior_entropy: 0.9825, recall: 0.7537, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.4428, kappa: 0.0215, kb_relative_information_score: 0.1408, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6883, predictive_accuracy: 0.5852, prior_entropy: 0.9825, recall: 0.5852, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6441, root_relative_squared_error: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8307, kappa: 0.6519, kb_relative_information_score: 0.6509, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.831, predictive_accuracy: 0.8315, prior_entropy: 0.9825, recall: 0.8315, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8328, kappa: 0.6564, kb_relative_information_score: 0.6548, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8328, predictive_accuracy: 0.8333, prior_entropy: 0.9825, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8365, kappa: 0.664, kb_relative_information_score: 0.6624, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8365, predictive_accuracy: 0.837, prior_entropy: 0.9825, recall: 0.837, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8348, kappa: 0.6608, kb_relative_information_score: 0.6586, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8347, predictive_accuracy: 0.8352, prior_entropy: 0.9825, recall: 0.8352, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.406, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.8051, kappa: 0.5998, kb_relative_information_score: 0.5972, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.805, predictive_accuracy: 0.8056, prior_entropy: 0.9825, recall: 0.8056, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8346, kappa: 0.66, kb_relative_information_score: 0.6586, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8347, predictive_accuracy: 0.8352, prior_entropy: 0.9825, recall: 0.8352, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.406, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8437, kappa: 0.6785, kb_relative_information_score: 0.6778, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8441, predictive_accuracy: 0.8444, prior_entropy: 0.9825, recall: 0.8444, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8456, kappa: 0.6825, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8459, predictive_accuracy: 0.8463, prior_entropy: 0.9825, recall: 0.8463, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.806, kappa: 0.6005, kb_relative_information_score: 0.6011, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8068, predictive_accuracy: 0.8074, prior_entropy: 0.9825, recall: 0.8074, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8346, kappa: 0.66, kb_relative_information_score: 0.6586, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8347, predictive_accuracy: 0.8352, prior_entropy: 0.9825, recall: 0.8352, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.406, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8364, kappa: 0.6636, kb_relative_information_score: 0.6624, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8366, predictive_accuracy: 0.837, prior_entropy: 0.9825, recall: 0.837, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8455, kappa: 0.6822, kb_relative_information_score: 0.6816, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.846, predictive_accuracy: 0.8463, prior_entropy: 0.9825, recall: 0.8463, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8418, kappa: 0.6745, kb_relative_information_score: 0.6739, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8423, predictive_accuracy: 0.8426, prior_entropy: 0.9825, recall: 0.8426, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8218, kappa: 0.6339, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8217, predictive_accuracy: 0.8222, prior_entropy: 0.9825, recall: 0.8222, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.8252, kappa: 0.6407, kb_relative_information_score: 0.6394, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8253, predictive_accuracy: 0.8259, prior_entropy: 0.9825, recall: 0.8259, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8087, kappa: 0.607, kb_relative_information_score: 0.6049, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8086, predictive_accuracy: 0.8093, prior_entropy: 0.9825, recall: 0.8093, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7226, kappa: 0.4299, kb_relative_information_score: 0.4476, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7393, predictive_accuracy: 0.7333, prior_entropy: 0.9825, recall: 0.7333, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7243, kappa: 0.4335, kb_relative_information_score: 0.4515, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7418, predictive_accuracy: 0.7352, prior_entropy: 0.9825, recall: 0.7352, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7243, kappa: 0.4335, kb_relative_information_score: 0.4515, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7418, predictive_accuracy: 0.7352, prior_entropy: 0.9825, recall: 0.7352, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7243, kappa: 0.4335, kb_relative_information_score: 0.4515, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7418, predictive_accuracy: 0.7352, prior_entropy: 0.9825, recall: 0.7352, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7403, kappa: 0.4652, kb_relative_information_score: 0.4668, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7408, predictive_accuracy: 0.7426, prior_entropy: 0.9825, recall: 0.7426, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1254, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9825, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7909, kappa: 0.5693, kb_relative_information_score: 0.5704, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7919, predictive_accuracy: 0.7926, prior_entropy: 0.9825, recall: 0.7926, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9221,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs