OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 34538 Supervised Classification MiceProtein 10616 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.2025, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 11.8282, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, kappa: 0.2705, kb_relative_information_score: 19.5844, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3667, prior_entropy: 2.9931, recall: 0.3667, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 11.7504, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1001.0239, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, kb_relative_information_score: 13.6827, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 10.3184, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 9.285, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9602, kappa: 0.9565, kb_relative_information_score: 66.8465, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9644, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.324, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.6449, kappa: 0.6686, kb_relative_information_score: 36.5783, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8047, predictive_accuracy: 0.712, prior_entropy: 2.9931, recall: 0.712, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, kappa: 0.1518, kb_relative_information_score: 74.0669, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2611, prior_entropy: 2.9931, recall: 0.2611, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.655, kappa: 0.6157, kb_relative_information_score: 83.8029, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6674, predictive_accuracy: 0.6648, prior_entropy: 2.9931, recall: 0.6648, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 8.7892, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.6181, kappa: 0.5774, kb_relative_information_score: 103.2857, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6568, predictive_accuracy: 0.6306, prior_entropy: 2.9931, recall: 0.6306, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, kappa: 0.3978, kb_relative_information_score: 51.293, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.4759, prior_entropy: 2.9931, recall: 0.4759, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 19.7841, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 9.0059, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 14.4082, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.2486, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.622, kappa: 0.5745, kb_relative_information_score: 236.1429, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6573, predictive_accuracy: 0.6287, prior_entropy: 2.9931, recall: 0.6287, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 9.1897, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.2287, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, kappa: 0.2501, kb_relative_information_score: 16.762, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3519, prior_entropy: 2.9931, recall: 0.3519, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.7207, kappa: 0.6931, kb_relative_information_score: 279.7931, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7309, predictive_accuracy: 0.7324, prior_entropy: 2.9931, recall: 0.7324, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.6712, kappa: 0.6597, kb_relative_information_score: 42.3206, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8013, predictive_accuracy: 0.7037, prior_entropy: 2.9931, recall: 0.7037, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 6.2721, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kappa: -0.0027, kb_relative_information_score: 11.4231, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 12.8597, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 10.4462, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.6564, kappa: 0.6695, kb_relative_information_score: 191.4633, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8291, predictive_accuracy: 0.713, prior_entropy: 2.9931, recall: 0.713, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, kappa: 0.6914, kb_relative_information_score: 113.5277, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.7315, prior_entropy: 2.9931, recall: 0.7315, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 10.8108, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.5206, kappa: 0.4914, kb_relative_information_score: 33.5317, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.5574, predictive_accuracy: 0.5583, prior_entropy: 2.9931, recall: 0.5583, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 10.055, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 10.0172, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, kappa: 0.0409, kb_relative_information_score: 11.0406, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1741, prior_entropy: 2.9931, recall: 0.1741, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 10.1953, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 10.5395, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 10.0374, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.7196, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.37, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9175, kappa: 0.9056, kb_relative_information_score: 467.1905, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9195, predictive_accuracy: 0.9176, prior_entropy: 2.9931, recall: 0.9176, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, kb_relative_information_score: 16.0917, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kappa: -0.0027, kb_relative_information_score: 11.5883, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 82.6614, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3377, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.5823, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 10.811, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, kb_relative_information_score: 12.2784, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, kb_relative_information_score: 12.767, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8784, kappa: 0.8633, kb_relative_information_score: 688.4155, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8812, predictive_accuracy: 0.8806, prior_entropy: 2.9931, recall: 0.8806, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 46.8012, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3329, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.6162, kappa: 0.6069, kb_relative_information_score: 131.7852, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.5975, predictive_accuracy: 0.6574, prior_entropy: 2.9931, recall: 0.6574, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.9586,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1079.9624, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, root_mean_prior_squared_error: 0.3305,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs