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: 0.9176, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 25.8898, mean_absolute_error: 0.1719, 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: 0.3761, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5639, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8759, kappa: 0.7297, kb_relative_information_score: 25.2686, mean_absolute_error: 0.1762, 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: 0.3854, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5875, scimark_benchmark: 1331.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8234, kappa: 0.6089, kb_relative_information_score: 23.9386, mean_absolute_error: 0.175, 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: 0.3828, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9, kappa: 0.7802, kb_relative_information_score: 9.2121, mean_absolute_error: 0.3681, 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: 0.8053, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8519, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8709, kappa: 0.711, kb_relative_information_score: -2.1205, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8785, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9823, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8234, kappa: 0.6089, kb_relative_information_score: 23.9386, mean_absolute_error: 0.175, 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: 0.3828, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877, scimark_benchmark: 1339.4189, 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: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8772, kappa: 0.7382, kb_relative_information_score: 28.454, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8894, 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, scimark_benchmark: 876.0664,
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: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.85, kappa: 0.6703, kb_relative_information_score: 25.0178, mean_absolute_error: 0.1864, 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: 0.4077, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5638, scimark_benchmark: 1299.5783, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.898, kappa: 0.7727, kb_relative_information_score: 24.6951, mean_absolute_error: 0.1949, 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: 0.4264, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5559, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 31.9882, mean_absolute_error: 0.0909, 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: 0.1989, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5086, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.9, kappa: 0.7802, kb_relative_information_score: 26.0192, mean_absolute_error: 0.1703, 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: 0.3726, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5596, scimark_benchmark: 1291.6995,
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: 915.9693,
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: 901.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, 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: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, 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: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 35.227, mean_absolute_error: 0.05, 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: 0.1094, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4688, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.95, kappa: 0.8901, kb_relative_information_score: 35.2422, mean_absolute_error: 0.0498, 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: 0.1088, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4648, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 33.1831, mean_absolute_error: 0.0737, 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: 0.1613, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4973, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8137, kappa: 0.5808, kb_relative_information_score: 23.3091, mean_absolute_error: 0.1835, 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: 0.4014, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7243, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8193, kappa: 0.5954, kb_relative_information_score: 24.1894, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8243, predictive_accuracy: 0.825, prior_entropy: 0.9403, recall: 0.825, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7125, scimark_benchmark: 825.5282,
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, scimark_benchmark: 1318.1432,
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: 916.6405,
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: 1250.8301,
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: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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, scimark_benchmark: 935.5075,
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: 916.9356, 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: 1028.5889,
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: 1350.9691, 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: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9256, kappa: 0.8378, kb_relative_information_score: 32.9693, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.9273, 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, scimark_benchmark: 1346.9602,
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: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8739, kappa: 0.7207, kb_relative_information_score: 26.8005, mean_absolute_error: 0.1508, 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: 0.3299, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7078, scimark_benchmark: 1290.1085,
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, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7508, kappa: 0.441, kb_relative_information_score: 19.4233, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.7924, predictive_accuracy: 0.775, prior_entropy: 0.9403, recall: 0.775, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9944, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8759, kappa: 0.7297, kb_relative_information_score: 27.8954, mean_absolute_error: 0.1338, 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: 0.2926, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7431, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.85, kappa: 0.6703, kb_relative_information_score: 26.1963, mean_absolute_error: 0.15, 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: 0.3281, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.8119, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9, kappa: 0.7802, kb_relative_information_score: 30.7116, mean_absolute_error: 0.1, 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: 0.2188, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6629, scimark_benchmark: 1353.5686,
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: 1380.2233,
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: 1384.4418,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, build_cpu_time: 0.0048, build_memory: 639173336.8, f_measure: 0.704, kappa: 0.3617, kb_relative_information_score: 12.6503, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.7115, predictive_accuracy: 0.7, prior_entropy: 0.9403, recall: 0.7, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1482, scimark_benchmark: 907.1899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, build_cpu_time: 0.0007, build_memory: 989962856, f_measure: 0.704, kappa: 0.3617, kb_relative_information_score: 12.6503, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.7115, predictive_accuracy: 0.7, prior_entropy: 0.9403, recall: 0.7, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1482, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.0109, build_memory: 1231188300, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.4318, mean_absolute_error: 0.1678, 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: 0.367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5536, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.0068, build_memory: 693633590.4, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.4318, mean_absolute_error: 0.1678, 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: 0.367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5536, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.0109, build_memory: 1897270909.6, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.4318, mean_absolute_error: 0.1678, 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: 0.367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5536, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.012, build_memory: 231661323.2, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.4318, mean_absolute_error: 0.1678, 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: 0.367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5536, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.0142, build_memory: 945146180.8, f_measure: 0.949, kappa: 0.8864, kb_relative_information_score: 26.4318, mean_absolute_error: 0.1678, 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: 0.367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5536, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.0259, build_memory: 514561810.4, 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, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, build_cpu_time: 0.0119, build_memory: 615289531.2, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 32.965, mean_absolute_error: 0.0751, 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: 0.1642, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5741, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0063, build_memory: 962995858.4, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 32.9655, mean_absolute_error: 0.0751, 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: 0.1642, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5741, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 0.0021, build_memory: 852440652.8, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 31.812, mean_absolute_error: 0.0873, 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: 0.1909, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5963, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.0012, build_memory: 1079573472, f_measure: 0.9243, kappa: 0.8324, kb_relative_information_score: 33.4829, mean_absolute_error: 0.0692, 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: 0.1513, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5141, scimark_benchmark: 929.5397,

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