OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8266, kappa: 0.8094, kb_relative_information_score: 1400.002, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7993, kappa: 0.7789, kb_relative_information_score: 1462.871, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7995, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8299, kappa: 0.8111, kb_relative_information_score: 1607.6125, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8313, kappa: 0.8133, kb_relative_information_score: 1544.7984, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8078, kappa: 0.7894, kb_relative_information_score: 1332.9494, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8073, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7827, kappa: 0.7578, kb_relative_information_score: 1499.5132, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7854, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.7914, kappa: 0.7689, kb_relative_information_score: 1498.4734, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.7898, kappa: 0.7678, kb_relative_information_score: 1498.2957, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.791, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7921, kappa: 0.7706, kb_relative_information_score: 1510.7286, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7923, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8263, kappa: 0.8072, kb_relative_information_score: 1572.3, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8272, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8186, kappa: 0.7989, kb_relative_information_score: 1603.8862, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8193, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8298, kappa: 0.8117, kb_relative_information_score: 1616.3879, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8298, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8321, kappa: 0.8133, kb_relative_information_score: 1592.8442, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8332, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.7941, kappa: 0.7728, kb_relative_information_score: 1553.2916, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7945, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7892, kappa: 0.7672, kb_relative_information_score: 1522.5974, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7905, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8373, kappa: 0.8194, kb_relative_information_score: 1623.0387, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8378, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8197, kappa: 0.8011, kb_relative_information_score: 1508.9107, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8202, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8088, kappa: 0.7872, kb_relative_information_score: 1569.0099, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8111, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8132, kappa: 0.7944, kb_relative_information_score: 1414.3887, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8137, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8252, kappa: 0.8056, kb_relative_information_score: 1582.8428, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8265, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8108, kappa: 0.79, kb_relative_information_score: 1575.3958, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8124, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7699, kappa: 0.7478, kb_relative_information_score: 1541.1248, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7694, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8103, kappa: 0.79, kb_relative_information_score: 1616.4138, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8099, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8328, kappa: 0.8144, kb_relative_information_score: 1598.602, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8375, kappa: 0.82, kb_relative_information_score: 1585.1101, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8378, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8046, kappa: 0.7839, kb_relative_information_score: 1564.37, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.7974, kappa: 0.7767, kb_relative_information_score: 1554.5839, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7975, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8317, kappa: 0.8133, kb_relative_information_score: 1600.6137, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8163, kappa: 0.7967, kb_relative_information_score: 1525.2915, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8167, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.7859, kappa: 0.7628, kb_relative_information_score: 1491.2873, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.787, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1541.2148, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8165, kappa: 0.7972, kb_relative_information_score: 1516.2332, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8116, kappa: 0.7922, kb_relative_information_score: 1459.9812, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8124, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.827, kappa: 0.8089, kb_relative_information_score: 1504.5519, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8268, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8297, kappa: 0.8117, kb_relative_information_score: 1531.489, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8304, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8245, kappa: 0.805, kb_relative_information_score: 1619.7204, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8202, kappa: 0.8022, kb_relative_information_score: 1469.4792, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8199, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8172, kappa: 0.7983, kb_relative_information_score: 1510.6415, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8176, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.811, kappa: 0.79, kb_relative_information_score: 1565.8248, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8128, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8136, kappa: 0.7933, kb_relative_information_score: 1525.5452, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8052, kappa: 0.7833, kb_relative_information_score: 1552.3683, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8071, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8186, kappa: 0.8, kb_relative_information_score: 1415.068, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8164, kappa: 0.7972, kb_relative_information_score: 1565.7449, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8163, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8179, kappa: 0.7989, kb_relative_information_score: 1556.5376, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8154, kappa: 0.7972, kb_relative_information_score: 1422.2595, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.819, kappa: 0.8, kb_relative_information_score: 1591.3658, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7815, kappa: 0.7589, kb_relative_information_score: 1561.8825, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7985, kappa: 0.7761, kb_relative_information_score: 1513.9305, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8001, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8152, kappa: 0.7961, kb_relative_information_score: 1547.9059, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8154, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8023, kappa: 0.7794, kb_relative_information_score: 1516.6787, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8051, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8161, kappa: 0.7972, kb_relative_information_score: 1476.5727, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8198, kappa: 0.8006, kb_relative_information_score: 1610.3532, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8199, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.808, kappa: 0.7872, kb_relative_information_score: 1526.8241, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8091, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8216, kappa: 0.8017, kb_relative_information_score: 1540.6389, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8225, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7939, kappa: 0.7728, kb_relative_information_score: 1496.4479, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8194, kappa: 0.8017, kb_relative_information_score: 1435.1014, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8192, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8126, kappa: 0.7939, kb_relative_information_score: 1406.8753, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8123, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8113, kappa: 0.7906, kb_relative_information_score: 1561.1574, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8137, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8188, kappa: 0.7994, kb_relative_information_score: 1504.0707, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8192, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8329, kappa: 0.8144, kb_relative_information_score: 1545.794, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8337, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8207, kappa: 0.8028, kb_relative_information_score: 1466.9177, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8207, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8124, kappa: 0.7906, kb_relative_information_score: 1602.5279, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7865, kappa: 0.7639, kb_relative_information_score: 1519.2152, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7887, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8221, kappa: 0.8028, kb_relative_information_score: 1564.5351, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8228, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8041, kappa: 0.7817, kb_relative_information_score: 1562.326, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8065, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8219, kappa: 0.8028, kb_relative_information_score: 1597.1945, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8222, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8184, kappa: 0.7994, kb_relative_information_score: 1499.7262, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8191, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8262, kappa: 0.8061, kb_relative_information_score: 1567.9103, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8045, kappa: 0.7844, kb_relative_information_score: 1483.9089, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8055, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7804, kappa: 0.7567, kb_relative_information_score: 1480.2429, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7818, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.7993, kappa: 0.7778, kb_relative_information_score: 1456.1473, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8086, kappa: 0.7889, kb_relative_information_score: 1561.4997, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8083, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7855, kappa: 0.7622, kb_relative_information_score: 1513.0837, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7875, predictive_accuracy: 0.786, prior_entropy: 3.3219, recall: 0.786, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8226, kappa: 0.8044, kb_relative_information_score: 1475.0774, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8165, kappa: 0.7967, kb_relative_information_score: 1518.1694, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7827, kappa: 0.7578, kb_relative_information_score: 1537.0609, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7855, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8116, kappa: 0.7911, kb_relative_information_score: 1533.7492, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8127, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8142, kappa: 0.795, kb_relative_information_score: 1444.5317, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8139, kappa: 0.7939, kb_relative_information_score: 1546.4785, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8186, kappa: 0.8006, kb_relative_information_score: 1439.3677, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8186, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7992, kappa: 0.7783, kb_relative_information_score: 1465.8828, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7997, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7081, kappa: 0.6628, kb_relative_information_score: 1300.7358, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7403, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8377, kappa: 0.82, kb_relative_information_score: 1601.4426, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8045, kappa: 0.7822, kb_relative_information_score: 1577.5681, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8068, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.803, kappa: 0.7806, kb_relative_information_score: 1543.989, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8051, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8186, kappa: 0.7989, kb_relative_information_score: 1586.5148, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8193, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8387, kappa: 0.8206, kb_relative_information_score: 1621.1181, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8397, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7774, kappa: 0.7522, kb_relative_information_score: 1504.9434, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8067, kappa: 0.7867, kb_relative_information_score: 1484.711, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8077, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8131, kappa: 0.7883, kb_relative_information_score: 1634.2648, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8192, kappa: 0.8, kb_relative_information_score: 1490.4871, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8199, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8182, kappa: 0.7983, kb_relative_information_score: 1582.9089, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8182, kappa: 0.7989, kb_relative_information_score: 1557.063, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8185, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.81, kappa: 0.7889, kb_relative_information_score: 1514.7087, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8115, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.7741, kappa: 0.7483, kb_relative_information_score: 1497.69, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7778, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7989, kappa: 0.7756, kb_relative_information_score: 1530.6656, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8014, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8351, kappa: 0.8167, kb_relative_information_score: 1594.3142, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8132, kappa: 0.795, kb_relative_information_score: 1408.9403, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8133, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.7837, kappa: 0.7594, kb_relative_information_score: 1494.458, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.786, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7928, kappa: 0.7661, kb_relative_information_score: 1597.6553, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.799, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.579,

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

OpenML APIs