Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 145872 Supervised Classification steel-plates-fault 132227 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1910.5713, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0358, root_relative_squared_error: 0.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1935.7854, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1914.4564, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9954, kappa: 0.9897, kb_relative_information_score: 1919.7654, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1917.8407, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9609, kappa: 0.9137, kb_relative_information_score: 1562.6708, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9609, predictive_accuracy: 0.9608, prior_entropy: 0.9313, recall: 0.9608, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5632, kappa: 0.0507, kb_relative_information_score: -32.4065, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5701, predictive_accuracy: 0.558, prior_entropy: 0.9313, recall: 0.558, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6458, root_relative_squared_error: 1.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9918, kappa: 0.9819, kb_relative_information_score: 1877.7789, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9313, recall: 0.9918, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1909.7353, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1498.7831, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.759, kappa: 0.5365, kb_relative_information_score: 677.0705, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8565, predictive_accuracy: 0.7553, prior_entropy: 0.9313, recall: 0.7553, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9658, kappa: 0.924, kb_relative_information_score: 1298.2363, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 0.9313, recall: 0.966, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5163, kb_relative_information_score: -0.1772, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.3571, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.759, kappa: 0.5365, kb_relative_information_score: 683.7216, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8565, predictive_accuracy: 0.7553, prior_entropy: 0.9313, recall: 0.7553, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.3568, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.5627, kappa: 0.2582, kb_relative_information_score: 175.5529, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7629, predictive_accuracy: 0.576, prior_entropy: 0.9313, recall: 0.576, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5772, root_relative_squared_error: 1.2127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8957, kappa: 0.7653, kb_relative_information_score: 1361.5174, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9043, predictive_accuracy: 0.899, prior_entropy: 0.9313, recall: 0.899, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1731.2726, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.759, kappa: 0.5365, kb_relative_information_score: 848.1134, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8565, predictive_accuracy: 0.7553, prior_entropy: 0.9313, recall: 0.7553, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.6006, kappa: 0.2991, kb_relative_information_score: 363.5423, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7705, predictive_accuracy: 0.6069, prior_entropy: 0.9313, recall: 0.6069, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8701, kappa: 0.7196, kb_relative_information_score: 1279.0252, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8778, predictive_accuracy: 0.8681, prior_entropy: 0.9313, recall: 0.8681, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.7481, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0031, root_relative_squared_error: 0.0064, scimark_benchmark: 1749.9829, usercpu_time_millis: 35.123, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 34.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1926.3427, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0299, scimark_benchmark: 1747.4929, usercpu_time_millis: 34.894, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 34.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1799.2797, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1582, scimark_benchmark: 1721.0281, usercpu_time_millis: 15.952, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 15.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8962, kappa: 0.7657, kb_relative_information_score: 821.2816, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9115, predictive_accuracy: 0.9006, prior_entropy: 0.9313, recall: 0.9006, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6897, scimark_benchmark: 1755.4795, usercpu_time_millis: 11.19, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 10.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1864.9584, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.0801, scimark_benchmark: 1755.6698, usercpu_time_millis: 11.885, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 11.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.3492, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.022, scimark_benchmark: 1783.4386, usercpu_time_millis: 8.565, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 8.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8666, kappa: 0.7198, kb_relative_information_score: 733.1341, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8912, predictive_accuracy: 0.8635, prior_entropy: 0.9313, recall: 0.8635, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7399, scimark_benchmark: 2151.8457, usercpu_time_millis: 9.929, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 9.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.3827, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.01, root_relative_squared_error: 0.021, scimark_benchmark: 1753.3033, usercpu_time_millis: 7.736, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 7.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1926.7161, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0144, root_relative_squared_error: 0.0304, scimark_benchmark: 1793.6349, usercpu_time_millis: 5.263, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1747.3761, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1917, scimark_benchmark: 2146.0249, usercpu_time_millis: 5.498, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 5.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1859.0624, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1035, scimark_benchmark: 1755.3134, usercpu_time_millis: 4.52, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 4.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.5163, kb_relative_information_score: 148.4298, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9421, scimark_benchmark: 1750.7876, usercpu_time_millis: 3.955, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 3.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5163, kb_relative_information_score: 0.0629, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1749.4079, usercpu_time_millis: 1.536, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.276,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8507, kappa: 0.6665, kb_relative_information_score: 528.0526, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8516, predictive_accuracy: 0.8532, prior_entropy: 0.9313, recall: 0.8532, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8033, scimark_benchmark: 1749.4647, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.963,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5163, kb_relative_information_score: 0.2747, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1873.4805, usercpu_time_millis: 2.473, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5163, kb_relative_information_score: 0.1706, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.643, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 2.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1925.1965, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0415, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9016, kappa: 0.7877, kb_relative_information_score: 547.1783, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9093, predictive_accuracy: 0.9001, prior_entropy: 0.9313, recall: 0.9001, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7983, scimark_benchmark: 1868.5063, usercpu_time_millis: 3.546, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 3.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5163, kb_relative_information_score: -0.0238, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 2.138, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1489.5943, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3592, scimark_benchmark: 1857.5664, usercpu_time_millis: 2.613, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 2.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1545.2026, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3157, scimark_benchmark: 1855.9428, usercpu_time_millis: 1.966, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.6184, kappa: 0.1775, kb_relative_information_score: 352.6308, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.792, predictive_accuracy: 0.7022, prior_entropy: 0.9313, recall: 0.7022, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8697, scimark_benchmark: 1853.8456, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.3013, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0115, root_relative_squared_error: 0.0242, scimark_benchmark: 1856.9857, usercpu_time_millis: 0.284, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.4725, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0102, scimark_benchmark: 1867.725, usercpu_time_millis: 32.248, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 31.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1930.2732, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0144, root_relative_squared_error: 0.0302, scimark_benchmark: 1812.5632, usercpu_time_millis: 32.988, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 32.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1678.093, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.2429, scimark_benchmark: 1085.2979, usercpu_time_millis: 31.512, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 29.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1931.7867, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0096, root_relative_squared_error: 0.0201, scimark_benchmark: 1068.1132, usercpu_time_millis: 31.994, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 31.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1918.5007, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0476, scimark_benchmark: 1878.1423, usercpu_time_millis: 22.871, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 22.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1904.0433, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0311, root_relative_squared_error: 0.0652, scimark_benchmark: 1808.6056, usercpu_time_millis: 26.514, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 25.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1686.0098, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2308, scimark_benchmark: 1877.6143, usercpu_time_millis: 13.924, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 13.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1835.4471, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1011, scimark_benchmark: 1875.4449, usercpu_time_millis: 14.369, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 13.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1918.0919, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0193, root_relative_squared_error: 0.0406, scimark_benchmark: 1869.1029, usercpu_time_millis: 11.298, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 10.961,

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