Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239377 runs submitted
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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: 0.4986, 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: 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: 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: 0.9408, 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: 0.4971, 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,
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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,
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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: 0.9102, 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: 0.7236, 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: 0.4946, 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: 0.496, 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: 0.8124, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 383.0343, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4652, scimark_benchmark: 1751.8191, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 138.6494, mean_absolute_error: 0.3921, 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: 0.7841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8439, scimark_benchmark: 1072.1807, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.195,

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