Task
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9537 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1175, unweighted_recall: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9457, kappa: 0.9375, kb_relative_information_score: 0.88, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9454, number_of_instances: 1080, precision: 0.948, predictive_accuracy: 0.9454, prior_entropy: 2.993, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.3579, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9705, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1404, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9457, kappa: 0.9375, kb_relative_information_score: 0.88, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9454, number_of_instances: 1080, precision: 0.948, predictive_accuracy: 0.9454, prior_entropy: 2.993, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.3579, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9695, kappa: 0.964, kb_relative_information_score: 0.9167, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9685, number_of_instances: 1080, precision: 0.9733, predictive_accuracy: 0.9685, prior_entropy: 2.993, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.2846, unweighted_recall: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.5425, kappa: 0.5162, kb_relative_information_score: 0.3321, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2185, weighted_recall: 0.5759, number_of_instances: 1080, precision: 0.5511, predictive_accuracy: 0.5759, prior_entropy: 2.993, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8688, unweighted_recall: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9802, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0274, root_relative_squared_error: 0.0829, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9811, kappa: 0.9777, kb_relative_information_score: 0.9472, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9806, number_of_instances: 1080, precision: 0.9829, predictive_accuracy: 0.9806, prior_entropy: 2.993, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.2146, unweighted_recall: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9802, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0274, root_relative_squared_error: 0.0829, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9785, kappa: 0.9746, kb_relative_information_score: 0.9379, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9778, number_of_instances: 1080, precision: 0.9811, predictive_accuracy: 0.9778, prior_entropy: 2.993, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.079, root_relative_squared_error: 0.239, unweighted_recall: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9705, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1404, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9861, number_of_instances: 1080, precision: 0.9863, predictive_accuracy: 0.9861, prior_entropy: 2.993, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1601, unweighted_recall: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9725, kappa: 0.9672, kb_relative_information_score: 0.9245, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9713, number_of_instances: 1080, precision: 0.9767, predictive_accuracy: 0.9713, prior_entropy: 2.993, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2692, unweighted_recall: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9803, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0273, root_relative_squared_error: 0.0827, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9693, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.125, unweighted_recall: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9725, kappa: 0.9672, kb_relative_information_score: 0.9245, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9713, number_of_instances: 1080, precision: 0.9767, predictive_accuracy: 0.9713, prior_entropy: 2.993, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2692, unweighted_recall: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.2933, kappa: 0.2209, kb_relative_information_score: 0.1596, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2185, weighted_recall: 0.325, number_of_instances: 1080, precision: 0.3651, predictive_accuracy: 0.325, prior_entropy: 2.993, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.9635, unweighted_recall: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 0.9584, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9907, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.993, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1741, unweighted_recall: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9735, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.1193, unweighted_recall: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.2933, kappa: 0.2209, kb_relative_information_score: 0.1596, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2185, weighted_recall: 0.325, number_of_instances: 1080, precision: 0.3651, predictive_accuracy: 0.325, prior_entropy: 2.993, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.9635, unweighted_recall: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.986, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1492, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9762, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1505, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1469, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1334, unweighted_recall: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9258, kappa: 0.9152, kb_relative_information_score: 0.4363, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9259, number_of_instances: 1080, precision: 0.9286, predictive_accuracy: 0.9259, prior_entropy: 2.993, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7978, unweighted_recall: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9778, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.993, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3307, unweighted_recall: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 0.8246, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9787, number_of_instances: 1080, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 2.993, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.396, unweighted_recall: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1325, unweighted_recall: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.931, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2254, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9855, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1393, unweighted_recall: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9867, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1342, unweighted_recall: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.986, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1492, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1806, unweighted_recall: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 0.9814, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9935, number_of_instances: 1080, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 2.993, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1368, unweighted_recall: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.986, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1492, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9875, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1207, unweighted_recall: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9724, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1527, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9275, kappa: 0.9174, kb_relative_information_score: 0.7223, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9278, prior_entropy: 2.993, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5458, unweighted_recall: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 0.9125, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9824, number_of_instances: 1080, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 2.993, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2726, unweighted_recall: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.91, kappa: 0.8972, kb_relative_information_score: 0.6646, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9102, number_of_instances: 1080, precision: 0.9128, predictive_accuracy: 0.9102, prior_entropy: 2.993, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6118, unweighted_recall: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7333, kappa: 0.6995, kb_relative_information_score: 0.3156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2185, weighted_recall: 0.738, number_of_instances: 1080, precision: 0.7678, predictive_accuracy: 0.738, prior_entropy: 2.993, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8767, unweighted_recall: 0.7266,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7333, kappa: 0.6995, kb_relative_information_score: 0.3156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2185, weighted_recall: 0.738, number_of_instances: 1080, precision: 0.7678, predictive_accuracy: 0.738, prior_entropy: 2.993, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8767, unweighted_recall: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1469, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1806, unweighted_recall: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9778, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.993, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3307, unweighted_recall: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.9855, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1393, unweighted_recall: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9302, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2267, unweighted_recall: 0.9894,

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