Task
Supervised Classification on AP_Breast_Colon

Supervised Classification on AP_Breast_Colon

Task 3979 Supervised Classification AP_Breast_Colon 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.927, kappa: 0.853, kb_relative_information_score: 502.8652, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9273, predictive_accuracy: 0.927, prior_entropy: 0.9939, recall: 0.927, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.238, root_relative_squared_error: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9443, kappa: 0.8876, kb_relative_information_score: 550.2987, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9448, predictive_accuracy: 0.9444, prior_entropy: 0.9939, recall: 0.9444, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9427, kappa: 0.8841, kb_relative_information_score: 523.3937, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.944, predictive_accuracy: 0.9429, prior_entropy: 0.9939, recall: 0.9429, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9602, kappa: 0.9197, kb_relative_information_score: 552.9786, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9608, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9603, kappa: 0.9198, kb_relative_information_score: 579.3625, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9604, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9492, kappa: 0.8975, kb_relative_information_score: 557.5988, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3857, kb_relative_information_score: -0.0898, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 534.1841, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9586, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.935, kappa: 0.8689, kb_relative_information_score: 546.9702, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9351, predictive_accuracy: 0.9349, prior_entropy: 0.9939, recall: 0.9349, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9619, kappa: 0.9231, kb_relative_information_score: 581.387, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3857, kb_relative_information_score: -0.041, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9603, kappa: 0.9198, kb_relative_information_score: 575.4294, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9348, kappa: 0.8682, kb_relative_information_score: 547.7754, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9354, predictive_accuracy: 0.9349, prior_entropy: 0.9939, recall: 0.9349, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9634, kappa: 0.926, kb_relative_information_score: 583.4115, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9647, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9619, kappa: 0.9232, kb_relative_information_score: 581.747, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.3857, kb_relative_information_score: 12.6924, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3857, kb_relative_information_score: -8.104, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9413, kappa: 0.8815, kb_relative_information_score: 553.4821, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9939, recall: 0.9413, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3857, kb_relative_information_score: 0.4313, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.965, kappa: 0.9294, kb_relative_information_score: 587.0717, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 0.9939, recall: 0.9651, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3857, kb_relative_information_score: 50.9631, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9522, kappa: 0.9034, kb_relative_information_score: 543.5709, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.954, predictive_accuracy: 0.9524, prior_entropy: 0.9939, recall: 0.9524, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9602, kappa: 0.9196, kb_relative_information_score: 543.8638, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9612, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9698, kappa: 0.939, kb_relative_information_score: 572.5768, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.97, predictive_accuracy: 0.9698, prior_entropy: 0.9939, recall: 0.9698, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9666, kappa: 0.9326, kb_relative_information_score: 585.9597, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 554.6596, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9939, recall: 0.9651, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9634, kappa: 0.9261, kb_relative_information_score: 553.0907, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9642, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9667, kappa: 0.9327, kb_relative_information_score: 587.7827, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9603, kappa: 0.9198, kb_relative_information_score: 578.6072, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9491, kappa: 0.8972, kb_relative_information_score: 552.5054, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9495, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9508, kappa: 0.9006, kb_relative_information_score: 555.3408, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.9939, recall: 0.9508, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9603, kappa: 0.9198, kb_relative_information_score: 562.8488, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9271, kappa: 0.8531, kb_relative_information_score: 530.7123, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9274, predictive_accuracy: 0.927, prior_entropy: 0.9939, recall: 0.927, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 545.3998, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9939, recall: 0.9651, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9618, kappa: 0.9228, kb_relative_information_score: 544.8782, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9627, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9634, kappa: 0.926, kb_relative_information_score: 540.9278, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9647, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9602, kappa: 0.9195, kb_relative_information_score: 538.1451, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9618, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9602, kappa: 0.9195, kb_relative_information_score: 506.8828, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9618, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9618, kappa: 0.9227, kb_relative_information_score: 531.926, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9632, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9618, kappa: 0.9227, kb_relative_information_score: 526.577, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9632, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9634, kappa: 0.926, kb_relative_information_score: 523.7278, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9647, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9603, kappa: 0.9198, kb_relative_information_score: 562.8488, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9523, kappa: 0.9037, kb_relative_information_score: 557.9796, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9527, predictive_accuracy: 0.9524, prior_entropy: 0.9939, recall: 0.9524, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9586, kappa: 0.9164, kb_relative_information_score: 543.1081, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9597, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9554, kappa: 0.9099, kb_relative_information_score: 522.3288, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9568, predictive_accuracy: 0.9556, prior_entropy: 0.9939, recall: 0.9556, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9586, kappa: 0.9164, kb_relative_information_score: 558.0145, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9595, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9602, kappa: 0.9195, kb_relative_information_score: 516.9976, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9618, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9618, kappa: 0.9227, kb_relative_information_score: 507.5897, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9632, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3857, kb_relative_information_score: -0.041, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.938, kappa: 0.8749, kb_relative_information_score: 526.7502, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9939, recall: 0.9381, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 495.6225, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9586, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9602, kappa: 0.9195, kb_relative_information_score: 488.3444, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9618, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8953, kappa: 0.7888, kb_relative_information_score: 497.1412, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9939, recall: 0.8952, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9538, kappa: 0.9066, kb_relative_information_score: 475.3547, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9557, predictive_accuracy: 0.954, prior_entropy: 0.9939, recall: 0.954, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9554, kappa: 0.9098, kb_relative_information_score: 460.4963, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9575, predictive_accuracy: 0.9556, prior_entropy: 0.9939, recall: 0.9556, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.943, kappa: 0.8855, kb_relative_information_score: 517.7, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9458, predictive_accuracy: 0.9429, prior_entropy: 0.9939, recall: 0.9429, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 528.0704, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 528.0704, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 528.0704, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 528.0704, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.957, kappa: 0.913, kb_relative_information_score: 561.4841, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.959, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 528.0704, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 528.0704, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9411, kappa: 0.881, kb_relative_information_score: 526.6232, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.942, predictive_accuracy: 0.9413, prior_entropy: 0.9939, recall: 0.9413, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9492, kappa: 0.8975, kb_relative_information_score: 552.2365, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9491, kappa: 0.8973, kb_relative_information_score: 555.5676, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9494, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.973, kappa: 0.9455, kb_relative_information_score: 595.5587, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9939, recall: 0.973, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.938, kappa: 0.8749, kb_relative_information_score: 545.4791, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9939, recall: 0.9381, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9476, kappa: 0.8942, kb_relative_information_score: 553.8086, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 0.9939, recall: 0.9476, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9444, kappa: 0.8878, kb_relative_information_score: 555.9331, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9445, predictive_accuracy: 0.9444, prior_entropy: 0.9939, recall: 0.9444, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8969, kappa: 0.7921, kb_relative_information_score: 498.3818, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.897, predictive_accuracy: 0.8968, prior_entropy: 0.9939, recall: 0.8968, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9492, kappa: 0.8974, kb_relative_information_score: 569.8042, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9493, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.954, kappa: 0.9073, kb_relative_information_score: 571.8499, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9939, recall: 0.954, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9396, kappa: 0.8779, kb_relative_information_score: 552.2669, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9401, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9603, kappa: 0.9198, kb_relative_information_score: 581.089, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9605, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9492, kappa: 0.8975, kb_relative_information_score: 561.1506, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9682, kappa: 0.9359, kb_relative_information_score: 589.4938, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.9939, recall: 0.9683, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9396, kappa: 0.8782, kb_relative_information_score: 551.6296, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9505, kappa: 0.9, kb_relative_information_score: 421.9328, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9533, predictive_accuracy: 0.9508, prior_entropy: 0.9939, recall: 0.9508, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9554, kappa: 0.9098, kb_relative_information_score: 495.4748, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9575, predictive_accuracy: 0.9556, prior_entropy: 0.9939, recall: 0.9556, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9428, kappa: 0.8845, kb_relative_information_score: 555.7984, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9429, predictive_accuracy: 0.9429, prior_entropy: 0.9939, recall: 0.9429, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.957, kappa: 0.913, kb_relative_information_score: 575.3135, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.959, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 575.9793, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9586, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9554, kappa: 0.91, kb_relative_information_score: 499.7447, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9563, predictive_accuracy: 0.9556, prior_entropy: 0.9939, recall: 0.9556, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9445, kappa: 0.8881, kb_relative_information_score: 539.4224, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9446, predictive_accuracy: 0.9444, prior_entropy: 0.9939, recall: 0.9444, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9603, kappa: 0.9199, kb_relative_information_score: 579.3625, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9618, kappa: 0.9227, kb_relative_information_score: 578.7038, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9632, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.0816, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 534.3109, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9583, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9392, kappa: 0.8772, kb_relative_information_score: 0.5219, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9438, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9634, kappa: 0.9261, kb_relative_information_score: 552.2498, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9698, kappa: 0.9391, kb_relative_information_score: 576.6937, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9699, predictive_accuracy: 0.9698, prior_entropy: 0.9939, recall: 0.9698, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9475, kappa: 0.8941, kb_relative_information_score: 542.2002, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.9939, recall: 0.9476, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 527.0836, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9314, kappa: 0.8614, kb_relative_information_score: 508.964, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9336, predictive_accuracy: 0.9317, prior_entropy: 0.9939, recall: 0.9317, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9588, kappa: 0.9169, kb_relative_information_score: 565.1417, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3857, kb_relative_information_score: 50.9631, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9587, kappa: 0.9167, kb_relative_information_score: 577.338, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9344, kappa: 0.8674, kb_relative_information_score: -2.3447, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9398, predictive_accuracy: 0.9349, prior_entropy: 0.9939, recall: 0.9349, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3857, kb_relative_information_score: 50.9631, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9396, kappa: 0.8782, kb_relative_information_score: 553.0438, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.4933,

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