Task
Supervised Classification on bolts

Supervised Classification on bolts

Task 3721 Supervised Classification bolts 520 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 25.6756, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6835, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 28.3523, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6513, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9, kappa: 0.7802, kb_relative_information_score: 30.88, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5937, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9, kappa: 0.7802, kb_relative_information_score: 29.1115, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6555, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8759, kappa: 0.7297, kb_relative_information_score: 27.5885, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.878, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7329, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 30.2037, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5414, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.9277, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5376, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 31.5781, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.5615, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8234, kappa: 0.6089, kb_relative_information_score: 22.8748, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8229, predictive_accuracy: 0.825, prior_entropy: 0.9403, recall: 0.825, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8554, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 30.8152, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5482, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 33.5979, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4796, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3681, f_measure: 0.5121, kb_relative_information_score: -0.5724, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4805, root_relative_squared_error: 1.0073, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 27.2807, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6377, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 30.6325, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4721, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 28.454, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 28.454, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 33.9098, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4776, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 25.7274, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5964, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9748, kappa: 0.9441, kb_relative_information_score: 33.0067, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9403, recall: 0.975, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3755, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 8.1349, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 30.045, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5344, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9748, kappa: 0.9441, kb_relative_information_score: 33.0067, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9403, recall: 0.975, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3755, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.9277, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5376, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 27.2807, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6377, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 30.6325, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4721, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 33.9098, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4776, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 8.1349, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 8.1349, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 30.045, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5344, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 25.7274, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5964, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 945.6228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.9277, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5376, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 30.6325, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4721, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 25.7274, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5964, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 30.045, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5344, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 33.9098, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4776, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 30.045, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5344, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.9277, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 0.9403, recall: 0.95, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5376, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 27.2807, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9403, recall: 0.9, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6377, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 30.045, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5344, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 29.4784, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8739, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5386, scimark_benchmark: 1340.9749,

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