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Supervised Classification on heart-h

Supervised Classification on heart-h

Task 4531 Supervised Classification heart-h 208 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: 20, usercpu_time_millis_training: 20,
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: 901.4991,
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: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
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,
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: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8386, kappa: 0.6477, kb_relative_information_score: 1641.6912, 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: 938.191, usercpu_time_millis: 3400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3380,
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: 0.8864, f_measure: 0.8119, kappa: 0.5883, kb_relative_information_score: 1390.1859, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8119, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7502, 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: 906.0979,
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: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8119, kappa: 0.5883, kb_relative_information_score: 1390.1859, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8119, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7502, scimark_benchmark: 947.1781, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, 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,
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: 940.1221, 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: 859.5223, 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: 930.404, 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: 1641.6912, 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: 906.0979, usercpu_time_millis: 4950, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4920,
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: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8119, kappa: 0.5883, kb_relative_information_score: 1390.1859, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8119, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7502, scimark_benchmark: 941.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8148, kappa: 0.5927, kb_relative_information_score: 1390.5468, mean_absolute_error: 0.2509, 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: 0.5439, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7368, scimark_benchmark: 904.5548, usercpu_time_millis: 2080, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8154, kappa: 0.5942, kb_relative_information_score: 1392.0402, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.817, predictive_accuracy: 0.819, prior_entropy: 0.9439, recall: 0.819, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7366, scimark_benchmark: 932.438, usercpu_time_millis: 880, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8102, kappa: 0.583, kb_relative_information_score: 1391.4737, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8116, predictive_accuracy: 0.8139, prior_entropy: 0.9439, recall: 0.8139, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7389, scimark_benchmark: 939.8002, usercpu_time_millis: 390, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8096, kappa: 0.5821, kb_relative_information_score: 1379.2935, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7456, scimark_benchmark: 891.6381, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8051, kappa: 0.5723, kb_relative_information_score: 1388.425, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8058, predictive_accuracy: 0.8085, prior_entropy: 0.9439, recall: 0.8085, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7512, scimark_benchmark: 921.466, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
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: 930.0565, 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: 894.7131,
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: 0.8975, 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: 926.5859, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8256, kappa: 0.6167, kb_relative_information_score: 1780.7335, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8273, predictive_accuracy: 0.8289, prior_entropy: 0.9439, recall: 0.8289, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8205, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8078, kappa: 0.577, kb_relative_information_score: 1702.3087, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 0.9439, recall: 0.8122, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8471, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1316.5668,
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: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8386, kappa: 0.6477, kb_relative_information_score: 1641.6912, 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: 906.4475, usercpu_time_millis: 4400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4380,
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: 1339.2472,
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: 1306.9281,
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: 1314.2279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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,
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: 1331.1314,
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: 1332.9478,
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: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1335.5309, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8119, kappa: 0.5883, kb_relative_information_score: 1390.1859, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8119, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7502, scimark_benchmark: 1335.5309, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8304, kappa: 0.6301, kb_relative_information_score: 1722.3071, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8301, predictive_accuracy: 0.8316, prior_entropy: 0.9439, recall: 0.8316, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7741, scimark_benchmark: 1319.5773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1346.0226, 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: 1345.9182, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, 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: 1354.7111,
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: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8119, kappa: 0.5883, kb_relative_information_score: 1390.1859, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8119, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7502, scimark_benchmark: 1313.9976, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, 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: 1357.3349, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8119, kappa: 0.5883, kb_relative_information_score: 1390.1859, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8119, predictive_accuracy: 0.8143, prior_entropy: 0.9439, recall: 0.8143, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7502, scimark_benchmark: 1360.8502, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8011, kappa: 0.5635, kb_relative_information_score: 1296.3143, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4614, number_of_instances: 2940, precision: 0.8016, predictive_accuracy: 0.8044, prior_entropy: 0.9439, recall: 0.8044, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7546, scimark_benchmark: 1353.5464, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 1345.1736, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,

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