OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24479 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8779, kappa: 0.8644, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8847, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9028, kappa: 0.8928, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9063, predictive_accuracy: 0.9035, prior_entropy: 3.3219, recall: 0.9035, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9746, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9686, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9693, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9707, kappa: 0.9672, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9717, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6751, kappa: 0.625, kb_relative_information_score: 0.6471, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7174, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9111, kappa: 0.8956, kb_relative_information_score: 0.9017, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9274, predictive_accuracy: 0.906, prior_entropy: 3.3219, recall: 0.906, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9698, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9356, kappa: 0.9283, kb_relative_information_score: 0.9325, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9369, predictive_accuracy: 0.9355, prior_entropy: 3.3219, recall: 0.9355, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9335, kappa: 0.9261, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9348, predictive_accuracy: 0.9335, prior_entropy: 3.3219, recall: 0.9335, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9111, kappa: 0.9017, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9128, predictive_accuracy: 0.9115, prior_entropy: 3.3219, recall: 0.9115, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9216, kappa: 0.9128, kb_relative_information_score: 0.9179, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.923, predictive_accuracy: 0.9215, prior_entropy: 3.3219, recall: 0.9215, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.2104, kappa: 0.1289, kb_relative_information_score: 0.1801, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9113, predictive_accuracy: 0.216, prior_entropy: 3.3219, recall: 0.216, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.396, root_relative_squared_error: 1.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.3592, kappa: 0.2456, kb_relative_information_score: 0.2899, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.321, prior_entropy: 3.3219, recall: 0.321, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9258, kappa: 0.9178, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.927, predictive_accuracy: 0.926, prior_entropy: 3.3219, recall: 0.926, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.1682, kappa: 0.0989, kb_relative_information_score: 0.1519, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.911, predictive_accuracy: 0.189, prior_entropy: 3.3219, recall: 0.189, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.965, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1112, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9571, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9542, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9541, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.1513, kappa: 0.0861, kb_relative_information_score: 0.1399, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9108, predictive_accuracy: 0.1775, prior_entropy: 3.3219, recall: 0.1775, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.1398, kappa: 0.0772, kb_relative_information_score: 0.1315, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9107, predictive_accuracy: 0.1695, prior_entropy: 3.3219, recall: 0.1695, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9611, kappa: 0.9567, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.966, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9535, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9542, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9515, kappa: 0.9461, kb_relative_information_score: 0.9493, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9521, predictive_accuracy: 0.9515, prior_entropy: 3.3219, recall: 0.9515, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8763, kappa: 0.8628, kb_relative_information_score: 0.8708, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8832, predictive_accuracy: 0.8765, prior_entropy: 3.3219, recall: 0.8765, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8862, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8919, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8713, kappa: 0.8572, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.878, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.873, kappa: 0.8378, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9291, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.6501, kappa: 0.5689, kb_relative_information_score: 0.5942, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8648, predictive_accuracy: 0.612, prior_entropy: 3.3219, recall: 0.612, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9538, kappa: 0.9478, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.958, predictive_accuracy: 0.953, prior_entropy: 3.3219, recall: 0.953, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.1132, kappa: 0.0733, kb_relative_information_score: 0.1278, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6085, predictive_accuracy: 0.166, prior_entropy: 3.3219, recall: 0.166, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0566, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1195, prior_entropy: 3.3219, recall: 0.1195, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.0489, kappa: 0.0172, kb_relative_information_score: 0.075, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1155, prior_entropy: 3.3219, recall: 0.1155, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.9728, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9742, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9413, kappa: 0.9311, kb_relative_information_score: 0.9352, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9523, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0538, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.1486, kappa: 0.1589, kb_relative_information_score: 0.2084, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6383, predictive_accuracy: 0.243, prior_entropy: 3.3219, recall: 0.243, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9489, kappa: 0.9433, kb_relative_information_score: 0.9467, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9496, predictive_accuracy: 0.949, prior_entropy: 3.3219, recall: 0.949, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9651, kappa: 0.9611, kb_relative_information_score: 0.9634, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.0557, kappa: 0.0211, kb_relative_information_score: 0.0787, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.119, prior_entropy: 3.3219, recall: 0.119, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8704, kappa: 0.8561, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8775, predictive_accuracy: 0.8705, prior_entropy: 3.3219, recall: 0.8705, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.957, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9561, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8713, kappa: 0.8572, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8787, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0538, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0566, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1195, prior_entropy: 3.3219, recall: 0.1195, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.0518, kappa: 0.0189, kb_relative_information_score: 0.0766, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.117, prior_entropy: 3.3219, recall: 0.117, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8786, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.0547, kappa: 0.0206, kb_relative_information_score: 0.0782, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1185, prior_entropy: 3.3219, recall: 0.1185, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8713, kappa: 0.8572, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8787, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.912, kappa: 0.9022, kb_relative_information_score: 0.908, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9134, predictive_accuracy: 0.912, prior_entropy: 3.3219, recall: 0.912, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9666, kappa: 0.9628, kb_relative_information_score: 0.965, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9675, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9696, kappa: 0.9661, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9704, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9763, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.0469, kappa: 0.0161, kb_relative_information_score: 0.074, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.1145, prior_entropy: 3.3219, recall: 0.1145, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.089, kappa: 0.0422, kb_relative_information_score: 0.0986, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.138, prior_entropy: 3.3219, recall: 0.138, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.384,

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