OpenML
Supervised Classification on synthetic_control

Supervised Classification on synthetic_control

Task 3512 Supervised Classification synthetic_control 12631 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_7 under100k under1m
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12631 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 579.4572, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 2.585, recall: 0.985, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 571.8683, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9786, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.7137, kappa: 0.648, kb_relative_information_score: 290.8045, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.7392, predictive_accuracy: 0.7067, prior_entropy: 2.585, recall: 0.7067, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.99, kappa: 0.988, kb_relative_information_score: 577.1455, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 2.585, recall: 0.99, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.8301, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8644, kappa: 0.838, kb_relative_information_score: 484.7069, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8669, predictive_accuracy: 0.865, prior_entropy: 2.585, recall: 0.865, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0338, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9867, kappa: 0.984, kb_relative_information_score: 574.9333, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 2.585, recall: 0.9867, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.7496, kappa: 0.698, kb_relative_information_score: 392.1094, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.772, predictive_accuracy: 0.7483, prior_entropy: 2.585, recall: 0.7483, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9767, kappa: 0.972, kb_relative_information_score: 571.132, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 571.424, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.585, kappa: 0.51, kb_relative_information_score: 236.8327, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.632, predictive_accuracy: 0.5917, prior_entropy: 2.585, recall: 0.5917, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.933, kappa: 0.92, kb_relative_information_score: 495.209, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.934, predictive_accuracy: 0.9333, prior_entropy: 2.585, recall: 0.9333, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8036, kappa: 0.782, kb_relative_information_score: 375.0958, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8684, predictive_accuracy: 0.8183, prior_entropy: 2.585, recall: 0.8183, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, kb_relative_information_score: 3.0315, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.1008, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9766, kappa: 0.972, kb_relative_information_score: 572.7223, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6447, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.97, kappa: 0.964, kb_relative_information_score: 562.9224, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 2.585, recall: 0.97, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9883, kappa: 0.986, kb_relative_information_score: 580.7136, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 2.585, recall: 0.9883, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 570.4932, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9933, kappa: 0.992, kb_relative_information_score: 579.7559, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 2.585, recall: 0.9933, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 570.0532, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9767, kappa: 0.972, kb_relative_information_score: 572.481, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9867, kappa: 0.984, kb_relative_information_score: 577.2392, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 2.585, recall: 0.9867, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8704, kappa: 0.85, kb_relative_information_score: 451.362, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.3565, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 574.162, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7618, kappa: 0.734, kb_relative_information_score: 275.2688, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.7691, predictive_accuracy: 0.7783, prior_entropy: 2.585, recall: 0.7783, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.7872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6447, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, kappa: 0.624, kb_relative_information_score: 138.3694, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.6867, prior_entropy: 2.585, recall: 0.6867, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9087, kappa: 0.888, kb_relative_information_score: 160.7283, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9205, predictive_accuracy: 0.9067, prior_entropy: 2.585, recall: 0.9067, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, kappa: 0.284, kb_relative_information_score: 110.4097, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.4033, prior_entropy: 2.585, recall: 0.4033, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 570.9494, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9786, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9766, kappa: 0.972, kb_relative_information_score: 572.8475, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.071, root_relative_squared_error: 0.1905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 572.4998, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 572.431, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9817, kappa: 0.978, kb_relative_information_score: 571.7749, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9819, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9833, kappa: 0.98, kb_relative_information_score: 576.2226, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.585, recall: 0.9833, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, kappa: 0.2, kb_relative_information_score: 15.5509, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.3333, prior_entropy: 2.585, recall: 0.3333, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.6835, kappa: 0.618, kb_relative_information_score: 335.3337, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.7064, predictive_accuracy: 0.6817, prior_entropy: 2.585, recall: 0.6817, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0338, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 573.4022, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9602, kappa: 0.952, kb_relative_information_score: 470.2387, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9625, predictive_accuracy: 0.96, prior_entropy: 2.585, recall: 0.96, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 570.9959, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9867, kappa: 0.984, kb_relative_information_score: 572.1526, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 2.585, recall: 0.9867, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.1948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7077, kappa: 0.642, kb_relative_information_score: 303.3354, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.736, predictive_accuracy: 0.7017, prior_entropy: 2.585, recall: 0.7017, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 572.5297, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9917, kappa: 0.99, kb_relative_information_score: 581.4279, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.585, recall: 0.9917, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 573.3657, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 574.717, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9333, kappa: 0.92, kb_relative_information_score: 546.2207, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 2.585, recall: 0.9333, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, kappa: 0.218, kb_relative_information_score: 6.6461, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.3483, prior_entropy: 2.585, recall: 0.3483, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.3166, kappa: 0.27, kb_relative_information_score: 147.6638, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.3562, predictive_accuracy: 0.3917, prior_entropy: 2.585, recall: 0.3917, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 572.2813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, kb_relative_information_score: 3.648, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7507, kappa: 0.712, kb_relative_information_score: 151.381, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.809, predictive_accuracy: 0.76, prior_entropy: 2.585, recall: 0.76, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 573.2699, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.1788, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 572.9386, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 571.4953, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9786, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 572.7254, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1297, kappa: -0.002, kb_relative_information_score: 1.161, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.165, prior_entropy: 2.585, recall: 0.165, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.5545, kappa: 0.452, kb_relative_information_score: 248.8135, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.6336, predictive_accuracy: 0.5433, prior_entropy: 2.585, recall: 0.5433, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.6265, kappa: 0.648, kb_relative_information_score: 374.3704, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.6956, predictive_accuracy: 0.7067, prior_entropy: 2.585, recall: 0.7067, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.257, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 572.8796, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.99, kappa: 0.988, kb_relative_information_score: 579.6717, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 2.585, recall: 0.99, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 547.0941, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9331, kappa: 0.92, kb_relative_information_score: 407.0529, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9345, predictive_accuracy: 0.9333, prior_entropy: 2.585, recall: 0.9333, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9167, kappa: 0.9, kb_relative_information_score: 544.9122, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9171, predictive_accuracy: 0.9167, prior_entropy: 2.585, recall: 0.9167, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.218, kb_relative_information_score: 0.3981, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9816, kappa: 0.978, kb_relative_information_score: 547.0941, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.585, recall: 0.9817, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9214, kappa: 0.906, kb_relative_information_score: 548.2175, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9222, predictive_accuracy: 0.9217, prior_entropy: 2.585, recall: 0.9217, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, kappa: 0.368, kb_relative_information_score: 221.2957, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.4733, prior_entropy: 2.585, recall: 0.4733, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.986, kb_relative_information_score: 575.8473, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 2.585, recall: 0.9883, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0725, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.648, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.994, kb_relative_information_score: 584.3135, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 2.585, recall: 0.995, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.988, kb_relative_information_score: 575.451, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 2.585, recall: 0.99, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1748,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.988, kb_relative_information_score: 575.6029, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 2.585, recall: 0.99, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1724,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.992, kb_relative_information_score: 574.5971, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 2.585, recall: 0.9933, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0725, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2333, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0002,

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