OpenML
Supervised Classification on hungarian

Supervised Classification on hungarian

Task 4427 Supervised Classification hungarian 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1175.2654, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 0.9439, recall: 0.7963, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8346, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8068, kappa: 0.5766, kb_relative_information_score: 1200.2943, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 0.9439, recall: 0.8095, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7555, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8086, kappa: 0.5815, kb_relative_information_score: 1450.7184, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8082, predictive_accuracy: 0.8105, prior_entropy: 0.9439, recall: 0.8105, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.754, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 562.2494, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 562.2494, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 944.1067, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.801, kappa: 0.5643, kb_relative_information_score: 1301.6566, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8007, predictive_accuracy: 0.8034, prior_entropy: 0.9439, recall: 0.8034, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7634, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8386, kappa: 0.6477, kb_relative_information_score: 1641.7007, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8383, predictive_accuracy: 0.8398, prior_entropy: 0.9439, recall: 0.8398, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6988, scimark_benchmark: 932.2692, usercpu_time_millis: 4120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8215, kappa: 0.61, kb_relative_information_score: 1634.0784, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8212, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7516, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 562.2494, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 562.2494, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8076, kappa: 0.5791, kb_relative_information_score: 1382.0349, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8074, predictive_accuracy: 0.8099, prior_entropy: 0.9439, recall: 0.8099, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7529, scimark_benchmark: 974.2014, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1175.2654, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 0.9439, recall: 0.7963, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8346, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8068, kappa: 0.5766, kb_relative_information_score: 1200.2943, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 0.9439, recall: 0.8095, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7555, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8086, kappa: 0.5815, kb_relative_information_score: 1450.7184, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8082, predictive_accuracy: 0.8105, prior_entropy: 0.9439, recall: 0.8105, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.754, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 562.2494, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 926.5462, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.801, kappa: 0.5643, kb_relative_information_score: 1301.6566, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8007, predictive_accuracy: 0.8034, prior_entropy: 0.9439, recall: 0.8034, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7634, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8386, kappa: 0.6477, kb_relative_information_score: 1641.6954, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8383, predictive_accuracy: 0.8398, prior_entropy: 0.9439, recall: 0.8398, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6988, scimark_benchmark: 919.3788, usercpu_time_millis: 6300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8215, kappa: 0.61, kb_relative_information_score: 1634.0784, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8212, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7516, scimark_benchmark: 730.6551, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8076, kappa: 0.5791, kb_relative_information_score: 1382.0349, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8074, predictive_accuracy: 0.8099, prior_entropy: 0.9439, recall: 0.8099, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7529, scimark_benchmark: 945.6228, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8103, kappa: 0.5828, kb_relative_information_score: 1390.1069, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8121, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7357, scimark_benchmark: 935.5664, usercpu_time_millis: 2350, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8148, kappa: 0.5927, kb_relative_information_score: 1389.1351, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8168, predictive_accuracy: 0.8187, prior_entropy: 0.9439, recall: 0.8187, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7372, scimark_benchmark: 934.7923, usercpu_time_millis: 810, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8098, kappa: 0.582, kb_relative_information_score: 1393.0949, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8113, predictive_accuracy: 0.8136, prior_entropy: 0.9439, recall: 0.8136, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7384, scimark_benchmark: 921.466, usercpu_time_millis: 430, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8114, kappa: 0.5856, kb_relative_information_score: 1393.729, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8127, predictive_accuracy: 0.815, prior_entropy: 0.9439, recall: 0.815, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7399, scimark_benchmark: 944.235, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8059, kappa: 0.5736, kb_relative_information_score: 1363.7261, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.807, predictive_accuracy: 0.8095, prior_entropy: 0.9439, recall: 0.8095, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7581, scimark_benchmark: 920.3788, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8166, kappa: 0.598, kb_relative_information_score: 1610.5622, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8171, predictive_accuracy: 0.8194, prior_entropy: 0.9439, recall: 0.8194, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.363, root_relative_squared_error: 0.756, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8166, kappa: 0.598, kb_relative_information_score: 1610.5622, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8171, predictive_accuracy: 0.8194, prior_entropy: 0.9439, recall: 0.8194, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.363, root_relative_squared_error: 0.756, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8166, kappa: 0.598, kb_relative_information_score: 1610.5622, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8171, predictive_accuracy: 0.8194, prior_entropy: 0.9439, recall: 0.8194, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.363, root_relative_squared_error: 0.756, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8166, kappa: 0.598, kb_relative_information_score: 1610.5622, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8171, predictive_accuracy: 0.8194, prior_entropy: 0.9439, recall: 0.8194, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.363, root_relative_squared_error: 0.756, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8144, kappa: 0.5933, kb_relative_information_score: 1606.6589, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8146, predictive_accuracy: 0.817, prior_entropy: 0.9439, recall: 0.817, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7528, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -1.6523, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8244, kappa: 0.6142, kb_relative_information_score: 1782.4061, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8263, predictive_accuracy: 0.8279, prior_entropy: 0.9439, recall: 0.8279, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8248, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8139, kappa: 0.5906, kb_relative_information_score: 1732.0864, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8162, predictive_accuracy: 0.818, prior_entropy: 0.9439, recall: 0.818, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8385, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8406, kappa: 0.6509, kb_relative_information_score: 1799.3195, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8409, predictive_accuracy: 0.8425, prior_entropy: 0.9439, recall: 0.8425, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7323, scimark_benchmark: 1347.1763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8386, kappa: 0.6477, kb_relative_information_score: 1641.6954, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8383, predictive_accuracy: 0.8398, prior_entropy: 0.9439, recall: 0.8398, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6988, scimark_benchmark: 1322.3407, usercpu_time_millis: 3030, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8406, kappa: 0.6509, kb_relative_information_score: 1799.3195, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8409, predictive_accuracy: 0.8425, prior_entropy: 0.9439, recall: 0.8425, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7323, scimark_benchmark: 1331.1314,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8215, kappa: 0.61, kb_relative_information_score: 1634.0784, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8212, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7516, scimark_benchmark: 1315.9287, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8076, kappa: 0.5791, kb_relative_information_score: 1382.0349, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8074, predictive_accuracy: 0.8099, prior_entropy: 0.9439, recall: 0.8099, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7529, scimark_benchmark: 1332.6745, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1175.2654, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 0.9439, recall: 0.7963, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8346, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8086, kappa: 0.5815, kb_relative_information_score: 1450.7184, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8082, predictive_accuracy: 0.8105, prior_entropy: 0.9439, recall: 0.8105, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.754, scimark_benchmark: 1330.4755, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8429, kappa: 0.656, kb_relative_information_score: 1627.8722, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8434, predictive_accuracy: 0.8449, prior_entropy: 0.9439, recall: 0.8449, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7003, scimark_benchmark: 1331.8682, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 562.2494, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1354.4815, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.801, kappa: 0.5643, kb_relative_information_score: 1301.6566, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8007, predictive_accuracy: 0.8034, prior_entropy: 0.9439, recall: 0.8034, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7634, scimark_benchmark: 1349.9109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8386, kappa: 0.6477, kb_relative_information_score: 1641.6954, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8383, predictive_accuracy: 0.8398, prior_entropy: 0.9439, recall: 0.8398, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6988, scimark_benchmark: 1292.1745, usercpu_time_millis: 2330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8458, kappa: 0.6621, kb_relative_information_score: 1779.7043, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8466, predictive_accuracy: 0.848, prior_entropy: 0.9439, recall: 0.848, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6998, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8076, kappa: 0.5791, kb_relative_information_score: 1382.0349, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8074, predictive_accuracy: 0.8099, prior_entropy: 0.9439, recall: 0.8099, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7529, scimark_benchmark: 1334.9442, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8418, kappa: 0.6536, kb_relative_information_score: 1726.5158, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8423, predictive_accuracy: 0.8439, prior_entropy: 0.9439, recall: 0.8439, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6948, scimark_benchmark: 1339.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7946, kappa: 0.5516, kb_relative_information_score: 1175.2654, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.794, predictive_accuracy: 0.7963, prior_entropy: 0.9439, recall: 0.7963, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8346, scimark_benchmark: 1349.9643,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs