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: 0.9967, f_measure: 0.9517, kappa: 0.942, kb_relative_information_score: 515.8988, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9524, predictive_accuracy: 0.9517, prior_entropy: 2.585, recall: 0.9517, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9499, kappa: 0.94, kb_relative_information_score: 540.2878, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 2.585, recall: 0.95, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.12, root_relative_squared_error: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8605, kappa: 0.834, kb_relative_information_score: 495.3333, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8624, predictive_accuracy: 0.8617, prior_entropy: 2.585, recall: 0.8617, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8931, kappa: 0.872, kb_relative_information_score: 520.4449, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8952, predictive_accuracy: 0.8933, prior_entropy: 2.585, recall: 0.8933, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9633, kappa: 0.956, kb_relative_information_score: 557.6131, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9637, predictive_accuracy: 0.9633, prior_entropy: 2.585, recall: 0.9633, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9066, kappa: 0.888, kb_relative_information_score: 537.2958, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9081, predictive_accuracy: 0.9067, prior_entropy: 2.585, recall: 0.9067, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8775, kappa: 0.854, kb_relative_information_score: 505.7203, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 2.585, recall: 0.8783, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9649, kappa: 0.958, kb_relative_information_score: 507.0463, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9657, predictive_accuracy: 0.965, prior_entropy: 2.585, recall: 0.965, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.97, kappa: 0.964, kb_relative_information_score: 541.4107, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 2.585, recall: 0.97, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9599, kappa: 0.952, kb_relative_information_score: 497.8037, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9611, predictive_accuracy: 0.96, prior_entropy: 2.585, recall: 0.96, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9567, kappa: 0.948, kb_relative_information_score: 524.6978, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9578, predictive_accuracy: 0.9567, prior_entropy: 2.585, recall: 0.9567, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9532, kappa: 0.944, kb_relative_information_score: 478.9133, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9537, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9649, kappa: 0.958, kb_relative_information_score: 515.4687, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 2.585, recall: 0.965, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9683, kappa: 0.962, kb_relative_information_score: 505.4199, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9685, predictive_accuracy: 0.9683, prior_entropy: 2.585, recall: 0.9683, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9633, kappa: 0.956, kb_relative_information_score: 484.7045, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9636, predictive_accuracy: 0.9633, prior_entropy: 2.585, recall: 0.9633, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9766, kappa: 0.972, kb_relative_information_score: 531.5306, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.117, root_relative_squared_error: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9466, kappa: 0.936, kb_relative_information_score: 520.9972, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9477, predictive_accuracy: 0.9467, prior_entropy: 2.585, recall: 0.9467, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.97, kappa: 0.964, kb_relative_information_score: 528.507, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9707, predictive_accuracy: 0.97, prior_entropy: 2.585, recall: 0.97, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9165, kappa: 0.9, kb_relative_information_score: 507.1103, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9178, predictive_accuracy: 0.9167, prior_entropy: 2.585, recall: 0.9167, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.94, kb_relative_information_score: 491.6358, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9514, predictive_accuracy: 0.95, prior_entropy: 2.585, recall: 0.95, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9433, kappa: 0.932, kb_relative_information_score: 542.352, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.944, predictive_accuracy: 0.9433, prior_entropy: 2.585, recall: 0.9433, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.965, kappa: 0.958, kb_relative_information_score: 514.0733, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9657, predictive_accuracy: 0.965, prior_entropy: 2.585, recall: 0.965, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9483, kappa: 0.938, kb_relative_information_score: 524.2222, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9494, predictive_accuracy: 0.9483, prior_entropy: 2.585, recall: 0.9483, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.94, kappa: 0.928, kb_relative_information_score: 494.8543, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 2.585, recall: 0.94, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9484, kappa: 0.938, kb_relative_information_score: 531.0661, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.949, predictive_accuracy: 0.9483, prior_entropy: 2.585, recall: 0.9483, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9417, kappa: 0.93, kb_relative_information_score: 532.7888, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9425, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9216, kappa: 0.906, kb_relative_information_score: 527.5763, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9228, predictive_accuracy: 0.9217, prior_entropy: 2.585, recall: 0.9217, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9535, kappa: 0.944, kb_relative_information_score: 527.5226, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9552, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.97, kappa: 0.964, kb_relative_information_score: 530.1221, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9705, predictive_accuracy: 0.97, prior_entropy: 2.585, recall: 0.97, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9399, kappa: 0.928, kb_relative_information_score: 494.6141, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 2.585, recall: 0.94, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.99, kappa: 0.988, kb_relative_information_score: 536.4326, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 2.585, recall: 0.99, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9683, kappa: 0.962, kb_relative_information_score: 533.4642, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9688, predictive_accuracy: 0.9683, prior_entropy: 2.585, recall: 0.9683, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.96, kappa: 0.952, kb_relative_information_score: 527.255, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9607, predictive_accuracy: 0.96, prior_entropy: 2.585, recall: 0.96, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9549, kappa: 0.946, kb_relative_information_score: 470.2551, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 2.585, recall: 0.955, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.955, kappa: 0.946, kb_relative_information_score: 499.9943, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9561, predictive_accuracy: 0.955, prior_entropy: 2.585, recall: 0.955, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9733, kappa: 0.968, kb_relative_information_score: 539.4319, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9737, predictive_accuracy: 0.9733, prior_entropy: 2.585, recall: 0.9733, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8883, kappa: 0.866, kb_relative_information_score: 508.3476, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8913, predictive_accuracy: 0.8883, prior_entropy: 2.585, recall: 0.8883, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9298, kappa: 0.916, kb_relative_information_score: 530.6573, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9309, predictive_accuracy: 0.93, prior_entropy: 2.585, recall: 0.93, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9316, kappa: 0.918, kb_relative_information_score: 554.4101, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9325, predictive_accuracy: 0.9317, prior_entropy: 2.585, recall: 0.9317, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.127, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9532, kappa: 0.944, kb_relative_information_score: 468.7941, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9283, kappa: 0.914, kb_relative_information_score: 489.72, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.93, predictive_accuracy: 0.9283, prior_entropy: 2.585, recall: 0.9283, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9733, kappa: 0.968, kb_relative_information_score: 554.7174, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9734, predictive_accuracy: 0.9733, prior_entropy: 2.585, recall: 0.9733, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9382, kappa: 0.926, kb_relative_information_score: 436.0752, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9386, predictive_accuracy: 0.9383, prior_entropy: 2.585, recall: 0.9383, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9616, kappa: 0.954, kb_relative_information_score: 515.261, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9624, predictive_accuracy: 0.9617, prior_entropy: 2.585, recall: 0.9617, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9467, kappa: 0.936, kb_relative_information_score: 544.9467, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 2.585, recall: 0.9467, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 535.7806, mean_absolute_error: 0.053, 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: 0.1908, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.113, root_relative_squared_error: 0.3032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9333, kappa: 0.92, kb_relative_information_score: 520.943, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.935, predictive_accuracy: 0.9333, prior_entropy: 2.585, recall: 0.9333, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9566, kappa: 0.948, kb_relative_information_score: 540.5015, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9572, predictive_accuracy: 0.9567, prior_entropy: 2.585, recall: 0.9567, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.96, kb_relative_information_score: 490.7888, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 2.585, recall: 0.9667, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9431, kappa: 0.932, kb_relative_information_score: 494.931, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9436, predictive_accuracy: 0.9433, prior_entropy: 2.585, recall: 0.9433, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9417, kappa: 0.93, kb_relative_information_score: 536.5993, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9434, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9733, kappa: 0.968, kb_relative_information_score: 550.3604, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9735, predictive_accuracy: 0.9733, prior_entropy: 2.585, recall: 0.9733, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9867, kappa: 0.984, kb_relative_information_score: 557.1019, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9871, predictive_accuracy: 0.9867, prior_entropy: 2.585, recall: 0.9867, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 533.6558, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9787, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9716, kappa: 0.966, kb_relative_information_score: 515.3629, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9722, predictive_accuracy: 0.9717, prior_entropy: 2.585, recall: 0.9717, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9466, kappa: 0.936, kb_relative_information_score: 512.4313, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9477, predictive_accuracy: 0.9467, prior_entropy: 2.585, recall: 0.9467, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9217, kappa: 0.906, kb_relative_information_score: 537.8839, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9236, predictive_accuracy: 0.9217, prior_entropy: 2.585, recall: 0.9217, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.3725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.871, kappa: 0.846, kb_relative_information_score: 511.1127, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8728, predictive_accuracy: 0.8717, prior_entropy: 2.585, recall: 0.8717, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9418, kappa: 0.93, kb_relative_information_score: 496.7981, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9436, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9532, kappa: 0.944, kb_relative_information_score: 536.8669, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9149, kappa: 0.898, kb_relative_information_score: 524.1678, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.917, predictive_accuracy: 0.915, prior_entropy: 2.585, recall: 0.915, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9533, kappa: 0.944, kb_relative_information_score: 506.1637, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9541, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.975, kappa: 0.97, kb_relative_information_score: 531.2801, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9755, predictive_accuracy: 0.975, prior_entropy: 2.585, recall: 0.975, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9599, kappa: 0.952, kb_relative_information_score: 514.2993, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 2.585, recall: 0.96, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9384, kappa: 0.926, kb_relative_information_score: 497.8172, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9398, predictive_accuracy: 0.9383, prior_entropy: 2.585, recall: 0.9383, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8897, kappa: 0.868, kb_relative_information_score: 516.4264, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8915, predictive_accuracy: 0.89, prior_entropy: 2.585, recall: 0.89, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9385, kappa: 0.926, kb_relative_information_score: 513.2453, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9405, predictive_accuracy: 0.9383, prior_entropy: 2.585, recall: 0.9383, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9683, kappa: 0.962, kb_relative_information_score: 461.9763, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9692, predictive_accuracy: 0.9683, prior_entropy: 2.585, recall: 0.9683, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9599, kappa: 0.952, kb_relative_information_score: 502.7393, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9607, predictive_accuracy: 0.96, prior_entropy: 2.585, recall: 0.96, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9766, kappa: 0.972, kb_relative_information_score: 558.5547, mean_absolute_error: 0.0337, 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: 0.1214, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9666, kappa: 0.96, kb_relative_information_score: 538.1637, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 2.585, recall: 0.9667, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9433, kappa: 0.932, kb_relative_information_score: 543.3747, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.944, predictive_accuracy: 0.9433, prior_entropy: 2.585, recall: 0.9433, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9469, kappa: 0.936, kb_relative_information_score: 522.1415, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9487, predictive_accuracy: 0.9467, prior_entropy: 2.585, recall: 0.9467, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.133, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8812, kappa: 0.858, kb_relative_information_score: 512.6669, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8832, predictive_accuracy: 0.8817, prior_entropy: 2.585, recall: 0.8817, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9683, kappa: 0.962, kb_relative_information_score: 538.32, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9686, predictive_accuracy: 0.9683, prior_entropy: 2.585, recall: 0.9683, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9501, kappa: 0.94, kb_relative_information_score: 514.9723, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9517, predictive_accuracy: 0.95, prior_entropy: 2.585, recall: 0.95, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9567, kappa: 0.948, kb_relative_information_score: 521.1801, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9577, predictive_accuracy: 0.9567, prior_entropy: 2.585, recall: 0.9567, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9551, kappa: 0.946, kb_relative_information_score: 529.7033, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9566, predictive_accuracy: 0.955, prior_entropy: 2.585, recall: 0.955, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9583, kappa: 0.95, kb_relative_information_score: 529.1608, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9591, predictive_accuracy: 0.9583, prior_entropy: 2.585, recall: 0.9583, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9616, kappa: 0.954, kb_relative_information_score: 505.3971, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 2.585, recall: 0.9617, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9552, kappa: 0.946, kb_relative_information_score: 538.9704, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9569, predictive_accuracy: 0.955, prior_entropy: 2.585, recall: 0.955, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.965, kappa: 0.958, kb_relative_information_score: 479.1429, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 2.585, recall: 0.965, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9583, kappa: 0.95, kb_relative_information_score: 515.8439, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9592, predictive_accuracy: 0.9583, prior_entropy: 2.585, recall: 0.9583, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9418, kappa: 0.93, kb_relative_information_score: 507.6852, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9435, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9499, kappa: 0.94, kb_relative_information_score: 518.031, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9511, predictive_accuracy: 0.95, prior_entropy: 2.585, recall: 0.95, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9767, kappa: 0.972, kb_relative_information_score: 547.2769, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9772, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.98, kappa: 0.976, kb_relative_information_score: 510.5606, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9806, predictive_accuracy: 0.98, prior_entropy: 2.585, recall: 0.98, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9633, kappa: 0.956, kb_relative_information_score: 504.2941, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9642, predictive_accuracy: 0.9633, prior_entropy: 2.585, recall: 0.9633, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9717, kappa: 0.966, kb_relative_information_score: 531.2908, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 2.585, recall: 0.9717, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9417, kappa: 0.93, kb_relative_information_score: 501.3645, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9432, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8847, kappa: 0.862, kb_relative_information_score: 518.2169, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8868, predictive_accuracy: 0.885, prior_entropy: 2.585, recall: 0.885, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9415, kappa: 0.93, kb_relative_information_score: 489.0709, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9423, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9282, kappa: 0.914, kb_relative_information_score: 526.4661, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9294, predictive_accuracy: 0.9283, prior_entropy: 2.585, recall: 0.9283, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9649, kappa: 0.958, kb_relative_information_score: 499.838, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9664, predictive_accuracy: 0.965, prior_entropy: 2.585, recall: 0.965, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9349, kappa: 0.922, kb_relative_information_score: 493.2404, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9364, predictive_accuracy: 0.935, prior_entropy: 2.585, recall: 0.935, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9517, kappa: 0.942, kb_relative_information_score: 515.2267, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9525, predictive_accuracy: 0.9517, prior_entropy: 2.585, recall: 0.9517, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9534, kappa: 0.944, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.128, root_relative_squared_error: 0.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9482, kappa: 0.938, kb_relative_information_score: 487.3026, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.949, predictive_accuracy: 0.9483, prior_entropy: 2.585, recall: 0.9483, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9716, kappa: 0.966, kb_relative_information_score: 515.6264, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9722, predictive_accuracy: 0.9717, prior_entropy: 2.585, recall: 0.9717, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9867, kappa: 0.984, kb_relative_information_score: 550.7671, mean_absolute_error: 0.0411, 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: 0.148, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2589,

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