OpenML
Supervised Classification on car

Supervised Classification on car

Task 251 Supervised Classification car 305 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

305 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8219, kappa: 0.6253, kb_relative_information_score: 338.7921, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8278, predictive_accuracy: 0.8351, prior_entropy: 1.2099, recall: 0.8351, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6657, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8219, kappa: 0.6253, kb_relative_information_score: 338.7921, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8278, predictive_accuracy: 0.8351, prior_entropy: 1.2099, recall: 0.8351, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6657, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 1347.993, usercpu_time_millis: 490, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 1315.933, usercpu_time_millis: 550, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.924, kappa: 0.8412, kb_relative_information_score: 397.7264, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9273, predictive_accuracy: 0.9263, prior_entropy: 1.2099, recall: 0.9263, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.541, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5288, kb_relative_information_score: 69.4082, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.9123, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9296, kappa: 0.8543, kb_relative_information_score: 474.5442, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9302, predictive_accuracy: 0.9298, prior_entropy: 1.2099, recall: 0.9298, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4631, scimark_benchmark: 1342.1678, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9382, kappa: 0.8721, kb_relative_information_score: 499.9457, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.941, predictive_accuracy: 0.9368, prior_entropy: 1.2099, recall: 0.9368, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.497, scimark_benchmark: 1315.933, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.5288, kb_relative_information_score: 133.6787, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.864, scimark_benchmark: 1342.2985, usercpu_time_millis: 320, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.5288, kb_relative_information_score: 149.3602, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8456, scimark_benchmark: 909.1698, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1314.9535, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8924, kappa: 0.7724, kb_relative_information_score: 424.7522, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9001, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5494, scimark_benchmark: 1320.9366, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1330.2021, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9262, kappa: 0.847, kb_relative_information_score: 470.4552, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9272, predictive_accuracy: 0.9263, prior_entropy: 1.2099, recall: 0.9263, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4657, scimark_benchmark: 1308.3432, usercpu_time_millis: 4110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8219, kappa: 0.6253, kb_relative_information_score: 338.7921, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8278, predictive_accuracy: 0.8351, prior_entropy: 1.2099, recall: 0.8351, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6657, scimark_benchmark: 1360.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.839, kappa: 0.6629, kb_relative_information_score: 359.4693, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8461, predictive_accuracy: 0.8386, prior_entropy: 1.2099, recall: 0.8386, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.7844, scimark_benchmark: 1327.3602, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1360.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8946, kappa: 0.7801, kb_relative_information_score: 387.9274, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8974, predictive_accuracy: 0.8982, prior_entropy: 1.2099, recall: 0.8982, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5555, scimark_benchmark: 1327.9121, usercpu_time_millis: 3270, usercpu_time_millis_testing: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8056, kappa: 0.5832, kb_relative_information_score: 284.2373, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8381, predictive_accuracy: 0.8263, prior_entropy: 1.2099, recall: 0.8263, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.6895, scimark_benchmark: 898.1296, usercpu_time_millis: 3520, usercpu_time_millis_testing: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8221, kappa: 0.6319, kb_relative_information_score: 188.5029, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8634, predictive_accuracy: 0.8053, prior_entropy: 1.2099, recall: 0.8053, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.8019, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9332, kappa: 0.8498, kb_relative_information_score: 482.9055, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.948, predictive_accuracy: 0.9246, prior_entropy: 1.2099, recall: 0.9246, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 937.5996, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5288, kb_relative_information_score: 9.2622, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0054, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9582, kappa: 0.9132, kb_relative_information_score: 524.8317, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9589, predictive_accuracy: 0.9579, prior_entropy: 1.2099, recall: 0.9579, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4159, scimark_benchmark: 1328.8457, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5288, kb_relative_information_score: 9.6728, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3508, root_relative_squared_error: 1.0057, scimark_benchmark: 1337.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8753, kappa: 0.7413, kb_relative_information_score: 368.4461, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.887, predictive_accuracy: 0.8684, prior_entropy: 1.2099, recall: 0.8684, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.6808, scimark_benchmark: 1349.9741, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8816, kappa: 0.7538, kb_relative_information_score: 390.5435, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8882, predictive_accuracy: 0.8807, prior_entropy: 1.2099, recall: 0.8807, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5777, scimark_benchmark: 1311.1837, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9331, kappa: 0.8614, kb_relative_information_score: 418.2965, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 1.2099, recall: 0.9333, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5026, scimark_benchmark: 1331.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9099, kappa: 0.8232, kb_relative_information_score: 440.9045, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9169, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5882, scimark_benchmark: 855.8522, usercpu_time_millis: 540, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9001, kappa: 0.7905, kb_relative_information_score: 374.4203, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9042, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5954, scimark_benchmark: 765.566, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.839, kappa: 0.6629, kb_relative_information_score: 359.4693, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8461, predictive_accuracy: 0.8386, prior_entropy: 1.2099, recall: 0.8386, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.7844, scimark_benchmark: 1316.535, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8189, kappa: 0.6186, kb_relative_information_score: 332.4864, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8249, predictive_accuracy: 0.8333, prior_entropy: 1.2099, recall: 0.8333, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.6685, scimark_benchmark: 1339.944, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8189, kappa: 0.6186, kb_relative_information_score: 332.4864, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8249, predictive_accuracy: 0.8333, prior_entropy: 1.2099, recall: 0.8333, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.6685, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8644, kappa: 0.7367, kb_relative_information_score: 288.7485, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8514, predictive_accuracy: 0.8789, prior_entropy: 1.2099, recall: 0.8789, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6535, scimark_benchmark: 1334.9657, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9637, kappa: 0.9244, kb_relative_information_score: 535.3422, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9656, predictive_accuracy: 0.9632, prior_entropy: 1.2099, recall: 0.9632, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3303, scimark_benchmark: 1333.5799, usercpu_time_millis: 6780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9332, kappa: 0.8616, kb_relative_information_score: 480.5454, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 1.2099, recall: 0.9333, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4631, scimark_benchmark: 938.0414, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.5288, kb_relative_information_score: 217.6314, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7946, scimark_benchmark: 1367.8403, usercpu_time_millis: 1510, usercpu_time_millis_testing: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8006, kappa: 0.5777, kb_relative_information_score: -136.4039, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.826, predictive_accuracy: 0.8193, prior_entropy: 1.2099, recall: 0.8193, relative_absolute_error: 1.3054, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.367, root_relative_squared_error: 1.0522, scimark_benchmark: 1348.8402, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9564, kappa: 0.9097, kb_relative_information_score: 528.1187, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9578, predictive_accuracy: 0.9561, prior_entropy: 1.2099, recall: 0.9561, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3859, scimark_benchmark: 1307.2114, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9039, kappa: 0.8004, kb_relative_information_score: 388.7692, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9065, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5653, scimark_benchmark: 1345.1228, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8693, kappa: 0.7261, kb_relative_information_score: 423.4643, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8743, predictive_accuracy: 0.8772, prior_entropy: 1.2099, recall: 0.8772, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5756, scimark_benchmark: 1356.9539, usercpu_time_millis: 3960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.5288, kb_relative_information_score: 156.5041, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8376, scimark_benchmark: 1356.9539, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9175, kappa: 0.8297, kb_relative_information_score: 459.4504, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.919, predictive_accuracy: 0.9175, prior_entropy: 1.2099, recall: 0.9175, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.479, scimark_benchmark: 942.6843, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9089, kappa: 0.8121, kb_relative_information_score: 432.2267, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9117, predictive_accuracy: 0.9088, prior_entropy: 1.2099, recall: 0.9088, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5178, scimark_benchmark: 1341.7207, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8965, kappa: 0.782, kb_relative_information_score: 427.191, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9088, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.5376, scimark_benchmark: 1344.3348, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8947, kappa: 0.7786, kb_relative_information_score: 428.0216, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9051, predictive_accuracy: 0.893, prior_entropy: 1.2099, recall: 0.893, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.189, root_relative_squared_error: 0.5419, scimark_benchmark: 1372.6516, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8718, kappa: 0.7309, kb_relative_information_score: 351.1969, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8812, predictive_accuracy: 0.8807, prior_entropy: 1.2099, recall: 0.8807, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6041, scimark_benchmark: 926.6704, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7428, kappa: 0.4606, kb_relative_information_score: 249.9499, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.7484, predictive_accuracy: 0.7544, prior_entropy: 1.2099, recall: 0.7544, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3504, root_relative_squared_error: 1.0046, scimark_benchmark: 876.0664, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.5288, kb_relative_information_score: -243.3485, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.4633, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.1509, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8189, kappa: 0.6186, kb_relative_information_score: 332.4864, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8249, predictive_accuracy: 0.8333, prior_entropy: 1.2099, recall: 0.8333, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.6685, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8753, kappa: 0.7395, kb_relative_information_score: 420.193, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8816, predictive_accuracy: 0.8789, prior_entropy: 1.2099, recall: 0.8789, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7053, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.5288, kb_relative_information_score: 144.7592, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8467, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.5288, kb_relative_information_score: 115.7055, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8842, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8528, kappa: 0.6952, kb_relative_information_score: 335.3064, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8504, predictive_accuracy: 0.8561, prior_entropy: 1.2099, recall: 0.8561, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.6525, scimark_benchmark: 925.4974, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8933, kappa: 0.7749, kb_relative_information_score: 426.855, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9064, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5415, scimark_benchmark: 938.9967, usercpu_time_millis: 510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8813, kappa: 0.7486, kb_relative_information_score: 429.4603, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8941, predictive_accuracy: 0.8789, prior_entropy: 1.2099, recall: 0.8789, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.5424, scimark_benchmark: 942.9518, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 915.6729, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 1304.6687, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.5288, kb_relative_information_score: -108.7326, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 1.2005, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.988, scimark_benchmark: 933.3136, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8718, kappa: 0.7309, kb_relative_information_score: 351.1969, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8812, predictive_accuracy: 0.8807, prior_entropy: 1.2099, recall: 0.8807, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6041, scimark_benchmark: 916.6405, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8718, kappa: 0.7309, kb_relative_information_score: 351.1969, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8812, predictive_accuracy: 0.8807, prior_entropy: 1.2099, recall: 0.8807, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6041, scimark_benchmark: 854.5188, usercpu_time_millis: 340, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6394, kappa: 0.2406, kb_relative_information_score: -89.1184, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.637, predictive_accuracy: 0.7158, prior_entropy: 1.2099, recall: 0.7158, relative_absolute_error: 1.1833, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3562, root_relative_squared_error: 1.0212, scimark_benchmark: 1318.5526, usercpu_time_millis: 2090, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9231, kappa: 0.8407, kb_relative_information_score: 5.5952, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9282, predictive_accuracy: 0.9228, prior_entropy: 1.2099, recall: 0.9228, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9263, scimark_benchmark: 1287.514, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9262, kappa: 0.847, kb_relative_information_score: 470.4552, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9272, predictive_accuracy: 0.9263, prior_entropy: 1.2099, recall: 0.9263, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4657, scimark_benchmark: 939.449, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8663, kappa: 0.7192, kb_relative_information_score: 395.026, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8678, predictive_accuracy: 0.8684, prior_entropy: 1.2099, recall: 0.8684, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.7353, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8981, kappa: 0.7898, kb_relative_information_score: 400.2464, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9048, predictive_accuracy: 0.9, prior_entropy: 1.2099, recall: 0.9, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5576, scimark_benchmark: 825.5282, usercpu_time_millis: 590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9182, kappa: 0.8303, kb_relative_information_score: 410.3944, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9205, predictive_accuracy: 0.9193, prior_entropy: 1.2099, recall: 0.9193, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5124, scimark_benchmark: 1333.5799, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7915, kappa: 0.5635, kb_relative_information_score: 377.2549, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.7923, predictive_accuracy: 0.7982, prior_entropy: 1.2099, recall: 0.7982, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.271, root_relative_squared_error: 0.7768, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8576, kappa: 0.7011, kb_relative_information_score: 411.3999, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8683, predictive_accuracy: 0.8561, prior_entropy: 1.2099, recall: 0.8561, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.214, root_relative_squared_error: 0.6134, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9564, kappa: 0.9097, kb_relative_information_score: 526.9579, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9578, predictive_accuracy: 0.9561, prior_entropy: 1.2099, recall: 0.9561, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.3939, scimark_benchmark: 1073.494, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9121, kappa: 0.8157, kb_relative_information_score: 460.5709, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9176, predictive_accuracy: 0.9123, prior_entropy: 1.2099, recall: 0.9123, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6004, scimark_benchmark: 1315.395, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9279, kappa: 0.8482, kb_relative_information_score: 484.3626, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9307, predictive_accuracy: 0.9298, prior_entropy: 1.2099, recall: 0.9298, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.537, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9283, kappa: 0.8486, kb_relative_information_score: 483.3463, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9312, predictive_accuracy: 0.9263, prior_entropy: 1.2099, recall: 0.9263, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.491, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8597, kappa: 0.7035, kb_relative_information_score: 388.8545, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8704, predictive_accuracy: 0.8684, prior_entropy: 1.2099, recall: 0.8684, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.7353, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5288, kb_relative_information_score: 112.5503, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.1765, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9332, kappa: 0.861, kb_relative_information_score: 495.4322, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9362, predictive_accuracy: 0.9333, prior_entropy: 1.2099, recall: 0.9333, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.5234, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5288, kb_relative_information_score: 9.2622, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.4398, predictive_accuracy: 0.6632, prior_entropy: 1.2099, recall: 0.6632, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0054, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8942, kappa: 0.7805, kb_relative_information_score: 455.2423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9034, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5568, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 4.328, build_memory: 458224856, f_measure: 0.9294, kappa: 0.854, kb_relative_information_score: 497.386, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9304, predictive_accuracy: 0.9298, prior_entropy: 1.2099, recall: 0.9298, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4688, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 4.286, build_memory: 1207232888, f_measure: 0.9294, kappa: 0.854, kb_relative_information_score: 497.386, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9304, predictive_accuracy: 0.9298, prior_entropy: 1.2099, recall: 0.9298, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4688, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 4.406, build_memory: 312627952, f_measure: 0.9294, kappa: 0.854, kb_relative_information_score: 497.386, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9304, predictive_accuracy: 0.9298, prior_entropy: 1.2099, recall: 0.9298, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4688, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 4.458, build_memory: 1228323840, f_measure: 0.9257, kappa: 0.8462, kb_relative_information_score: 497.1119, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9267, predictive_accuracy: 0.9263, prior_entropy: 1.2099, recall: 0.9263, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4689, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 1.668, build_memory: 918943208, f_measure: 0.9277, kappa: 0.8504, kb_relative_information_score: 492.9231, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9301, predictive_accuracy: 0.9281, prior_entropy: 1.2099, recall: 0.9281, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.165, root_relative_squared_error: 0.473, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.032, build_memory: 99137488, f_measure: 0.9153, kappa: 0.8236, kb_relative_information_score: 475.2265, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9215, predictive_accuracy: 0.9158, prior_entropy: 1.2099, recall: 0.9158, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.5257, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 0.062, build_memory: 271659728, f_measure: 0.9293, kappa: 0.851, kb_relative_information_score: 492.0602, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9368, predictive_accuracy: 0.9281, prior_entropy: 1.2099, recall: 0.9281, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.4996, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.113, build_memory: 107787296, f_measure: 0.943, kappa: 0.8803, kb_relative_information_score: 508.3712, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9478, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.4482, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 0.17, build_memory: 100018200, f_measure: 0.94, kappa: 0.8735, kb_relative_information_score: 502.9717, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9453, predictive_accuracy: 0.9386, prior_entropy: 1.2099, recall: 0.9386, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4774, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 0.159, build_memory: 54117176, f_measure: 0.94, kappa: 0.8735, kb_relative_information_score: 502.9717, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.9453, predictive_accuracy: 0.9386, prior_entropy: 1.2099, recall: 0.9386, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4774, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, build_cpu_time: 0.005, build_memory: 1154161704, f_measure: 0.8066, kappa: 0.593, kb_relative_information_score: 368.7032, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8112, predictive_accuracy: 0.807, prior_entropy: 1.2099, recall: 0.807, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.7929, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, build_cpu_time: 0.006, build_memory: 1836208488, f_measure: 0.8066, kappa: 0.593, kb_relative_information_score: 368.7032, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2363, number_of_instances: 570, precision: 0.8112, predictive_accuracy: 0.807, prior_entropy: 1.2099, recall: 0.807, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.3488, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.7929, scimark_benchmark: 934.6076,

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