OpenML
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: 0.9148, 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: 0.9258, 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: 1317.5857,
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: 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: 1309.0674,
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: 1306.9281,
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: 1306.9281,
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: 0.9437, 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: 1374.9737, 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: 1347.1763,
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: 1274.7011,
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: 0.9066, 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: 0.8159, 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: 0.9368, 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: 0.5, 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: 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: 0.9148, 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: 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: 0.9258, 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: 1325.3966,
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: 1318.4315, 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: 1299.6719,
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: 1367.3264,
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: 0.8159, 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: 0.9368, 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: 0.9093, f_measure: 0.9, kappa: 0.7802, kb_relative_information_score: 29.6594, mean_absolute_error: 0.1102, 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: 0.2411, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6071, scimark_benchmark: 1360.0477,
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: 1306.5596,
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: 1330.4665, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 0.9148, 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: 0.9437, 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: 0.8159, 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: 1320.9387,
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: 0.9148, 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: 932.5646,
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: 932.5646,
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: 0.9066, 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: 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: 935.5075,
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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: 943.1756,
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: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.85, kappa: 0.6703, kb_relative_information_score: 20.7508, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9403, recall: 0.85, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7384, scimark_benchmark: 1315.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8759, kappa: 0.7297, kb_relative_information_score: 28.454, mean_absolute_error: 0.125, 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: 0.2734, 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: 0.9093, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 32.9693, mean_absolute_error: 0.075, 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: 0.1641, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 32.9693, mean_absolute_error: 0.075, 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: 0.1641, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5741,
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: 0.9354, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 34.0076, mean_absolute_error: 0.0694, 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: 0.1518, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4558, scimark_benchmark: 915.6729,
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: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 28.2524, mean_absolute_error: 0.1371, 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: 0.2999, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6528, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1331.0755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1342.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 35.3986, mean_absolute_error: 0.0483, 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: 0.1056, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4048, scimark_benchmark: 1338.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 35.2203, mean_absolute_error: 0.0501, 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: 0.1096, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4687, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 34.7456, mean_absolute_error: 0.0575, 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: 0.1257, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4642, scimark_benchmark: 1324.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9225, kappa: 0.8266, kb_relative_information_score: 25.8381, mean_absolute_error: 0.1741, 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: 0.3808, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5655, scimark_benchmark: 1413.089, usercpu_time_millis: 20, usercpu_time_millis_testing: 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

OpenML bootcamp

From your own software

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

OpenML APIs