Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5953, kappa: 0.1906, kb_relative_information_score: -0.7995, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, weighted_recall: 0.5953, number_of_instances: 556, precision: 0.5953, predictive_accuracy: 0.5953, prior_entropy: 1, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2458, unweighted_recall: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7517, kappa: 0.5036, kb_relative_information_score: 217.8903, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7523, predictive_accuracy: 0.7518, prior_entropy: 1, recall: 0.7518, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 383.1202, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8095, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.811, kappa: 0.6223, kb_relative_information_score: 385.242, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8118, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.7985, kappa: 0.5971, kb_relative_information_score: 371.8276, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7987, predictive_accuracy: 0.7986, prior_entropy: 1, recall: 0.7986, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 466.5038, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7051, kappa: 0.4281, kb_relative_information_score: 174.8835, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7437, predictive_accuracy: 0.714, prior_entropy: 1, recall: 0.714, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 186.4867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 519.6728, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7234, kappa: 0.4784, kb_relative_information_score: 181.7556, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8102, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 475.4239, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 545.3473, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 278.6164, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.7141, kappa: 0.4604, kb_relative_information_score: 120.4731, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7972, predictive_accuracy: 0.7302, prior_entropy: 1, recall: 0.7302, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7182, kappa: 0.464, kb_relative_information_score: 176.211, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7885, predictive_accuracy: 0.732, prior_entropy: 1, recall: 0.732, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 299.4229, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 186.4518, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 188.5874, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 523.6037, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 163.095, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 302.5351, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9089, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.708, kappa: 0.446, kb_relative_information_score: 141.4814, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7807, predictive_accuracy: 0.723, prior_entropy: 1, recall: 0.723, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9097, kappa: 0.8201, kb_relative_information_score: 425.9148, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9171, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1548, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 535.5067, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1548, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 460.3288, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.4543, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1548, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 535.5067, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 433.9454, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3392, scimark_benchmark: 1806.1749, usercpu_time_millis: 3.305, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9802, kappa: 0.9604, kb_relative_information_score: 321.2704, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.981, predictive_accuracy: 0.9802, prior_entropy: 1, recall: 0.9802, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5491, scimark_benchmark: 1860.4615, usercpu_time_millis: 4.005, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 3.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.912, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.787, scimark_benchmark: 1807.0018, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9313, kappa: 0.8633, kb_relative_information_score: 296.1348, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9399, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6043, scimark_benchmark: 1798.9315, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8512, kappa: 0.7086, kb_relative_information_score: 216.7549, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8872, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.719, scimark_benchmark: 1809.355, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4789, kb_relative_information_score: -0.0138, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1792.1314, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 482.1542, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2321, scimark_benchmark: 1871.5747, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0157, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1807.0672, usercpu_time_millis: 0.817, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8282, kappa: 0.6583, kb_relative_information_score: 293.5861, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8365, predictive_accuracy: 0.8291, prior_entropy: 1, recall: 0.8291, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6615, scimark_benchmark: 1863.3902, usercpu_time_millis: 2.077, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9093, kappa: 0.8201, kb_relative_information_score: 259.353, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9238, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6555, scimark_benchmark: 1858.3038, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5, kb_relative_information_score: -0.0029, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 398.5994, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4275, scimark_benchmark: 1764.7668, usercpu_time_millis: 2.616, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 383.0719, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4646, scimark_benchmark: 1764.3407, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 344.4929, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.976, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5304, scimark_benchmark: 1857.269, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 437.9051, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3381, scimark_benchmark: 1865.4965, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0177, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.6392, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.8683, kappa: 0.741, kb_relative_information_score: 290.8836, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8971, predictive_accuracy: 0.8705, prior_entropy: 1, recall: 0.8705, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6358, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.677, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 227.3299, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7515, scimark_benchmark: 1761.4464, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9222, kappa: 0.8453, kb_relative_information_score: 308.6229, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.933, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6031, scimark_benchmark: 1867.725, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8908, kappa: 0.7842, kb_relative_information_score: 176.0371, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9112, predictive_accuracy: 0.8921, prior_entropy: 1, recall: 0.8921, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7651, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 132.8944, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.838, scimark_benchmark: 1748.0598, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 1.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8982, kappa: 0.7986, kb_relative_information_score: 176.4378, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9162, predictive_accuracy: 0.8993, prior_entropy: 1, recall: 0.8993, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764, scimark_benchmark: 1753.3033, usercpu_time_millis: 1.715, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 452.1339, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3045, scimark_benchmark: 1746.2876, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8945, kappa: 0.7914, kb_relative_information_score: 175.7734, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9137, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7646, scimark_benchmark: 1748.0598, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 476.9664, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2436, scimark_benchmark: 1843.3864, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 3.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 381.0353, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4478, scimark_benchmark: 1851.1818, usercpu_time_millis: 4.1, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 3.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 492.736, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.103, root_relative_squared_error: 0.206, scimark_benchmark: 1751.3544, usercpu_time_millis: 3.001, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 2.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 438.7403, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3279, scimark_benchmark: 1734.376, usercpu_time_millis: 1.559, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8492, kappa: 0.705, kb_relative_information_score: 271.1334, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8861, predictive_accuracy: 0.8525, prior_entropy: 1, recall: 0.8525, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6593, scimark_benchmark: 1746.226, usercpu_time_millis: 0.473, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9386, kappa: 0.8777, kb_relative_information_score: 306.6197, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9455, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905, scimark_benchmark: 1748.2025, usercpu_time_millis: 1.755, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4484, kappa: -0.0036, kb_relative_information_score: -0.014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4972, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2153.2783, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.788, kappa: 0.5935, kb_relative_information_score: 230.5105, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8555, predictive_accuracy: 0.7968, prior_entropy: 1, recall: 0.7968, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7108, scimark_benchmark: 1740.384, usercpu_time_millis: 1.083, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 98.8936, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8795, scimark_benchmark: 1740.9612, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 484.8312, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2252, scimark_benchmark: 1753.0279, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 74.0563, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9089, scimark_benchmark: 1849.12, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 470.8336, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2651, scimark_benchmark: 1850.61, usercpu_time_millis: 1.211, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 457.223, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2931, scimark_benchmark: 1851.1818, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7668, kappa: 0.554, kb_relative_information_score: 98.2563, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8354, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8759, scimark_benchmark: 1854.2944, usercpu_time_millis: 0.346, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8908, kappa: 0.7842, kb_relative_information_score: 250.6316, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9112, predictive_accuracy: 0.8921, prior_entropy: 1, recall: 0.8921, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6705, scimark_benchmark: 1855.3856, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 421.5584, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3671, scimark_benchmark: 1752.5869, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 463.5687, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2807, scimark_benchmark: 1784.5563, usercpu_time_millis: 3.907, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 3.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.826, kappa: 0.6619, kb_relative_information_score: 213.4252, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8737, predictive_accuracy: 0.8309, prior_entropy: 1, recall: 0.8309, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7246, scimark_benchmark: 1753.4332, usercpu_time_millis: 1.204, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 187.8574, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896, scimark_benchmark: 1747.5569, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 340.4598, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5363, scimark_benchmark: 1771.3746, usercpu_time_millis: 2.299, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 95.4974, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8325, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8789, scimark_benchmark: 1752.1534, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 184.4717, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7964, scimark_benchmark: 1754.5026, usercpu_time_millis: 1.134, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.7355, kappa: 0.5036, kb_relative_information_score: 156.5242, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8341, predictive_accuracy: 0.7518, prior_entropy: 1, recall: 0.7518, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8065, scimark_benchmark: 1779.3885, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 375.0932, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9875, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 1747.5976, usercpu_time_millis: 1.047, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1749.5822, usercpu_time_millis: 0.904, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 75.8259, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9068, scimark_benchmark: 1746.226, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 354.33, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.4992, scimark_benchmark: 1776.7675, usercpu_time_millis: 3.717, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 3.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7355, kappa: 0.5036, kb_relative_information_score: 97.7173, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8341, predictive_accuracy: 0.7518, prior_entropy: 1, recall: 0.7518, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8765, scimark_benchmark: 1766.3732, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0175, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1783.2245, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0151, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1789.8751, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 101.8756, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8757, scimark_benchmark: 1752.5891, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0142, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0284, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1743.1474, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9694, kappa: 0.9388, kb_relative_information_score: 375.749, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 1, recall: 0.9694, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.4997, scimark_benchmark: 1775.3316, usercpu_time_millis: 1.312, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 398.5539, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4251, scimark_benchmark: 1711.8666, usercpu_time_millis: 3.372, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 2.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0143, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1010.1508, usercpu_time_millis: 2.897, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 2.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9204, kappa: 0.8417, kb_relative_information_score: 181.4611, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9317, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7558, scimark_benchmark: 1069.9371, usercpu_time_millis: 4.886, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 3.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 464.7533, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2725, scimark_benchmark: 1751.8191, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 2.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 421.5102, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3755, scimark_benchmark: 1749.5822, usercpu_time_millis: 4.367, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 3.918,

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

OpenML bootcamp

From your own software

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

OpenML APIs