OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24107 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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24107 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8272, kappa: 0.8083, kb_relative_information_score: 1566.5881, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8279, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8241, kappa: 0.8056, kb_relative_information_score: 1496.3253, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8247, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.825, kappa: 0.8061, kb_relative_information_score: 1563.4725, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8254, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8264, kappa: 0.8072, kb_relative_information_score: 1526.0273, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8275, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8058, kappa: 0.7839, kb_relative_information_score: 1567.1769, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8081, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6991, kappa: 0.6661, kb_relative_information_score: 1371.4997, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8253, kappa: 0.8067, kb_relative_information_score: 1526.0588, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8237, kappa: 0.8072, kb_relative_information_score: 1357.0742, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.0875, kappa: 0.0261, kb_relative_information_score: 166.7871, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.731, predictive_accuracy: 0.1235, prior_entropy: 3.3219, recall: 0.1235, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4187, root_relative_squared_error: 1.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8186, kappa: 0.7994, kb_relative_information_score: 1622.4815, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8208, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8012, kappa: 0.7844, kb_relative_information_score: 1160.7787, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7273, kappa: 0.6961, kb_relative_information_score: 1427.9707, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7425, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8288, kappa: 0.8106, kb_relative_information_score: 1559.9312, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.829, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8163, kappa: 0.7967, kb_relative_information_score: 1595.8883, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8166, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.0709, kappa: 0.0161, kb_relative_information_score: 147.9635, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.1145, prior_entropy: 3.3219, recall: 0.1145, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7736, kappa: 0.7494, kb_relative_information_score: 1528.3634, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8474, kappa: 0.8306, kb_relative_information_score: 1637.1878, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8196, kappa: 0.8006, kb_relative_information_score: 1446.4644, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8203, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.2948, kappa: 0.195, kb_relative_information_score: 484.6974, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6987, predictive_accuracy: 0.2755, prior_entropy: 3.3219, recall: 0.2755, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7879, kappa: 0.7672, kb_relative_information_score: 1561.8276, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.2328, 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: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 167.8329, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7311, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7551, kappa: 0.7294, kb_relative_information_score: 1490.7161, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7739, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.1072, kappa: 0.04, kb_relative_information_score: 192.9311, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7173, predictive_accuracy: 0.136, prior_entropy: 3.3219, recall: 0.136, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.847, kappa: 0.83, kb_relative_information_score: 1679.9982, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8476, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8331, kappa: 0.815, kb_relative_information_score: 1551.5723, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8335, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8355, kappa: 0.8178, kb_relative_information_score: 1570.4659, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6945, kappa: 0.6611, kb_relative_information_score: 1362.0879, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.719, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.7842, kappa: 0.76, kb_relative_information_score: 1507.215, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7865, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.6954, kappa: 0.6622, kb_relative_information_score: 1364.1794, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7192, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6949, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7191, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.1328, kappa: 0.0589, kb_relative_information_score: 228.4868, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6974, predictive_accuracy: 0.153, prior_entropy: 3.3219, recall: 0.153, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8377, kappa: 0.8206, kb_relative_information_score: 1591.0553, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8439, kappa: 0.8267, kb_relative_information_score: 1634.8217, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8226, kappa: 0.8056, kb_relative_information_score: 1347.094, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8221, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8403, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8114, kappa: 0.7906, kb_relative_information_score: 1560.254, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8131, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.351, 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: 0.8319, f_measure: 0.6969, kappa: 0.6639, kb_relative_information_score: 1367.3167, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7199, predictive_accuracy: 0.6975, prior_entropy: 3.3219, recall: 0.6975, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.246, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.815, kappa: 0.795, kb_relative_information_score: 1614.1155, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8446, kappa: 0.8272, kb_relative_information_score: 1674.7694, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.845, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8315, kappa: 0.8122, kb_relative_information_score: 1617.9461, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.833, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7655, kappa: 0.74, kb_relative_information_score: 1510.5855, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7754, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8034, kappa: 0.7856, kb_relative_information_score: 1184.9807, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8032, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 167.8329, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7926, kappa: 0.7728, kb_relative_information_score: 1572.2852, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7922, kappa: 0.7722, kb_relative_information_score: 1571.2394, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7975, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.6749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.7852, kappa: 0.7606, kb_relative_information_score: 1539.1284, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7887, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.3336, 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: 0.8486, f_measure: 0.7309, kappa: 0.6972, kb_relative_information_score: 1430.0622, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7693, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.1295, kappa: 0.0561, kb_relative_information_score: 223.258, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.696, predictive_accuracy: 0.1505, prior_entropy: 3.3219, recall: 0.1505, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8453, kappa: 0.8289, kb_relative_information_score: 1587.4087, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8279, kappa: 0.8094, kb_relative_information_score: 1525.7526, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8284, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8031, kappa: 0.7828, kb_relative_information_score: 1591.1088, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8044, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8466, kappa: 0.8294, kb_relative_information_score: 1678.9525, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8472, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, 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: 0.8333, f_measure: 0.6993, kappa: 0.6667, kb_relative_information_score: 1372.5455, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7218, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6991, kappa: 0.6661, kb_relative_information_score: 1371.4997, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8406, kappa: 0.8233, kb_relative_information_score: 1667.4491, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8412, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.696, kappa: 0.6628, kb_relative_information_score: 1365.2252, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7198, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8403, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5436, f_measure: 0.1691, kappa: 0.0872, kb_relative_information_score: 281.8204, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6495, predictive_accuracy: 0.1785, prior_entropy: 3.3219, recall: 0.1785, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.3511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.6954, kappa: 0.6622, kb_relative_information_score: 1364.1794, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7192, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8182, kappa: 0.7994, kb_relative_information_score: 1456.1088, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.819, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8245, kappa: 0.8061, kb_relative_information_score: 1472.7849, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8249, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.727, kappa: 0.6961, kb_relative_information_score: 1427.9707, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7422, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8013, kappa: 0.7789, kb_relative_information_score: 1508.4671, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8032, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.3918, 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: 0.8908, f_measure: 0.802, kappa: 0.7817, kb_relative_information_score: 1589.0173, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8035, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.7786, kappa: 0.7539, kb_relative_information_score: 1557.6688, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7797, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8334, kappa: 0.8156, kb_relative_information_score: 1526.1415, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8338, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8333, kappa: 0.8167, kb_relative_information_score: 1469.741, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.833, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8109, kappa: 0.7906, kb_relative_information_score: 1474.6142, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8117, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.0963, kappa: 0.0328, kb_relative_information_score: 179.3362, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.716, predictive_accuracy: 0.1295, prior_entropy: 3.3219, recall: 0.1295, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7653, kappa: 0.74, kb_relative_information_score: 1510.5855, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7741, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7594, kappa: 0.7344, kb_relative_information_score: 1500.1279, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7764, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.696, kappa: 0.6628, kb_relative_information_score: 1365.2252, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7198, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8014, kappa: 0.7806, kb_relative_information_score: 1531.6983, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8024, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.6845, kappa: 0.6339, kb_relative_information_score: 1310.8458, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7559, predictive_accuracy: 0.6705, prior_entropy: 3.3219, recall: 0.6705, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.0763, kappa: 0.0539, kb_relative_information_score: 219.075, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7445, predictive_accuracy: 0.1485, prior_entropy: 3.3219, recall: 0.1485, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8157, kappa: 0.7961, kb_relative_information_score: 1594.5549, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8177, kappa: 0.7983, kb_relative_information_score: 1576.037, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.695, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7194, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7026, kappa: 0.67, kb_relative_information_score: 1378.8201, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7248, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.0857, kappa: 0.025, kb_relative_information_score: 164.6956, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7309, predictive_accuracy: 0.1225, prior_entropy: 3.3219, recall: 0.1225, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8015, kappa: 0.7794, kb_relative_information_score: 1511.2392, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8031, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8055, kappa: 0.7844, kb_relative_information_score: 1572.7074, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8062, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8096, kappa: 0.7878, kb_relative_information_score: 1577.4103, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8121, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.335, 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: 0.9153, f_measure: 0.8477, kappa: 0.8306, kb_relative_information_score: 1681.044, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8482, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8287, kappa: 0.8111, kb_relative_information_score: 1477.141, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.4306, 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: 0.98, f_measure: 0.8157, kappa: 0.7978, kb_relative_information_score: 1347.2487, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8153, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.0767, kappa: 0.0539, kb_relative_information_score: 219.075, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7453, predictive_accuracy: 0.1485, prior_entropy: 3.3219, recall: 0.1485, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8488, kappa: 0.8317, kb_relative_information_score: 1683.1355, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8494, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1683, 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: 0.8039, f_measure: 0.6618, kappa: 0.6078, kb_relative_information_score: 1261.6952, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.743, predictive_accuracy: 0.647, prior_entropy: 3.3219, recall: 0.647, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1315, kappa: 0.0578, kb_relative_information_score: 226.3953, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6974, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8099, kappa: 0.7911, kb_relative_information_score: 1367.6077, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.3038, kappa: 0.2039, kb_relative_information_score: 501.4295, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6962, predictive_accuracy: 0.2835, prior_entropy: 3.3219, recall: 0.2835, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3785, root_relative_squared_error: 1.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6945, kappa: 0.6611, kb_relative_information_score: 1362.0879, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.719, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8426, kappa: 0.8256, kb_relative_information_score: 1671.6321, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8047, kappa: 0.785, kb_relative_information_score: 1468.9372, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8049, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7657, kappa: 0.7411, kb_relative_information_score: 1512.677, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7795, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8012, kappa: 0.7806, kb_relative_information_score: 1518.3832, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8017, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.3874, 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: 0.98, f_measure: 0.8157, kappa: 0.7978, kb_relative_information_score: 1392.6725, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8157, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6035,

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

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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