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: 0.9231, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 25.6465, mean_absolute_error: 0.1759, 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: 0.3849, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5846, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1314.7093,
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: 1351.5471,
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: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 24.0607, mean_absolute_error: 0.1914, 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: 0.4186, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6319, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 24.0607, mean_absolute_error: 0.1914, 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: 0.4186, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6319, scimark_benchmark: 1341.5795, 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: 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: 1260.1387,
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: 1278.6629,
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: 1347.993, 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: 1358.6198,
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: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 24.0607, mean_absolute_error: 0.1914, 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: 0.4186, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6319, scimark_benchmark: 1332.7986, 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: 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: 1324.6442,
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: 1346.4374,
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: 1350.7721,
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: 1334.863,
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: 0.9148, 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: 0.9258, 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: 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: 0.9148, 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: 0.9437, 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: 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: 0.9437, 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: 1318.6467,
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,
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: 1319.4538,
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: 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: 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: 0.9368, 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: 0.9437, 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: 0.9148, 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: 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: 1318.6467,
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: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1340.9749,
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: 1333.202,
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: 930.5999,
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: 1317.5857,
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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: 0.9121, f_measure: 0.9225, kappa: 0.8266, kb_relative_information_score: 28.7397, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9328, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5931, scimark_benchmark: 1840.6094,
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: 0.8544, 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: 0.8997, f_measure: 0.8429, kappa: 0.6471, kb_relative_information_score: 21.4346, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8567, predictive_accuracy: 0.85, prior_entropy: 0.9403, recall: 0.85, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 33.8184, mean_absolute_error: 0.0709, 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: 0.1552, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8429, kappa: 0.6471, kb_relative_information_score: 25.6118, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8567, predictive_accuracy: 0.85, prior_entropy: 0.9403, recall: 0.85, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7336, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 27.6929, mean_absolute_error: 0.1458, 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: 0.319, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6371,
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: 0.8736, f_measure: 0.8137, kappa: 0.5808, kb_relative_information_score: 23.08, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8353, predictive_accuracy: 0.825, prior_entropy: 0.9403, recall: 0.825, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.796, kappa: 0.5455, kb_relative_information_score: 21.681, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.7964, predictive_accuracy: 0.8, prior_entropy: 0.9403, recall: 0.8, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9375, scimark_benchmark: 933.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7801, kappa: 0.5431, kb_relative_information_score: 19.8729, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8091, predictive_accuracy: 0.775, prior_entropy: 0.9403, recall: 0.775, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9696, scimark_benchmark: 1013.4211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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