Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

116029 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6655, kappa: 0.3309, kb_relative_information_score: 0.3309, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, weighted_recall: 0.6655, number_of_instances: 556, precision: 0.6655, predictive_accuracy: 0.6655, prior_entropy: 1, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1568, unweighted_recall: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9334, kappa: 0.8669, kb_relative_information_score: 0.659, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.5, weighted_recall: 0.9335, number_of_instances: 556, precision: 0.9337, predictive_accuracy: 0.9335, prior_entropy: 1, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.4991, unweighted_recall: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.946, kappa: 0.8921, kb_relative_information_score: 0.6657, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.5, weighted_recall: 0.946, number_of_instances: 556, precision: 0.9461, predictive_accuracy: 0.946, prior_entropy: 1, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5143, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6655, kappa: 0.3309, kb_relative_information_score: 0.3309, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, weighted_recall: 0.6655, number_of_instances: 556, precision: 0.6655, predictive_accuracy: 0.6655, prior_entropy: 1, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1568, unweighted_recall: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.6033, kappa: 0.2302, kb_relative_information_score: 0.2302, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.5, weighted_recall: 0.6151, number_of_instances: 556, precision: 0.6307, predictive_accuracy: 0.6151, prior_entropy: 1, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6204, root_relative_squared_error: 1.2408, unweighted_recall: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6673, kappa: 0.3345, kb_relative_information_score: 0.2116, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, weighted_recall: 0.6673, number_of_instances: 556, precision: 0.6673, predictive_accuracy: 0.6673, prior_entropy: 1, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, unweighted_recall: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.8276, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.319, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 0.904, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.5, weighted_recall: 0.9964, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2295, unweighted_recall: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 0.1676, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.5, weighted_recall: 0.7464, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8903, unweighted_recall: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.964, kappa: 0.9281, kb_relative_information_score: 0.9281, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.5, weighted_recall: 0.964, number_of_instances: 556, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 1, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3793, unweighted_recall: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6655, kappa: 0.3309, kb_relative_information_score: 0.3309, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, weighted_recall: 0.6655, number_of_instances: 556, precision: 0.6655, predictive_accuracy: 0.6655, prior_entropy: 1, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1568, unweighted_recall: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9514, kappa: 0.9029, kb_relative_information_score: 0.6824, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.5, weighted_recall: 0.9514, number_of_instances: 556, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 1, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, unweighted_recall: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.946, kappa: 0.8921, kb_relative_information_score: 0.6657, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.5, weighted_recall: 0.946, number_of_instances: 556, precision: 0.9461, predictive_accuracy: 0.946, prior_entropy: 1, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5143, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6655, kappa: 0.3309, kb_relative_information_score: 0.3309, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, weighted_recall: 0.6655, number_of_instances: 556, precision: 0.6655, predictive_accuracy: 0.6655, prior_entropy: 1, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1568, unweighted_recall: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.6033, kappa: 0.2302, kb_relative_information_score: 0.2302, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.5, weighted_recall: 0.6151, number_of_instances: 556, precision: 0.6307, predictive_accuracy: 0.6151, prior_entropy: 1, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6204, root_relative_squared_error: 1.2408, unweighted_recall: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6673, kappa: 0.3345, kb_relative_information_score: 0.2116, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, weighted_recall: 0.6673, number_of_instances: 556, precision: 0.6673, predictive_accuracy: 0.6673, prior_entropy: 1, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, unweighted_recall: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.8156, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3359, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.94, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1634, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 0.1676, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.5, weighted_recall: 0.7464, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8903, unweighted_recall: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.5, weighted_recall: 0.9586, number_of_instances: 556, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 1, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4068, unweighted_recall: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.5, weighted_recall: 0.9586, number_of_instances: 556, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 1, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4068, unweighted_recall: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.955, kappa: 0.9101, kb_relative_information_score: 0.9101, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.5, weighted_recall: 0.955, number_of_instances: 556, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4241, unweighted_recall: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 0.9353, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.5, weighted_recall: 0.9676, number_of_instances: 556, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 1, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3599, unweighted_recall: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 0.9245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.5, weighted_recall: 0.9622, number_of_instances: 556, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 1, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3887, unweighted_recall: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.955, kappa: 0.9101, kb_relative_information_score: 0.9101, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.5, weighted_recall: 0.955, number_of_instances: 556, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 1, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4241, unweighted_recall: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 0.9245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.5, weighted_recall: 0.9622, number_of_instances: 556, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 1, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3887, unweighted_recall: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9604, kappa: 0.9209, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.5, weighted_recall: 0.9604, number_of_instances: 556, precision: 0.9605, predictive_accuracy: 0.9604, prior_entropy: 1, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3978, unweighted_recall: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.955, kappa: 0.9101, kb_relative_information_score: 0.9101, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.5, weighted_recall: 0.955, number_of_instances: 556, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4241, unweighted_recall: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9532, kappa: 0.9065, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.5, weighted_recall: 0.9532, number_of_instances: 556, precision: 0.9533, predictive_accuracy: 0.9532, prior_entropy: 1, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4325, unweighted_recall: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9604, kappa: 0.9209, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.5, weighted_recall: 0.9604, number_of_instances: 556, precision: 0.9605, predictive_accuracy: 0.9604, prior_entropy: 1, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3978, unweighted_recall: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 0.9245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.5, weighted_recall: 0.9622, number_of_instances: 556, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 1, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3887, unweighted_recall: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9658, kappa: 0.9317, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.5, weighted_recall: 0.9658, number_of_instances: 556, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 1, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3697, unweighted_recall: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4618, f_measure: 0.4863, kappa: -0.018, kb_relative_information_score: -0.0047, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, weighted_recall: 0.491, number_of_instances: 556, precision: 0.4907, predictive_accuracy: 0.491, prior_entropy: 1, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0051, unweighted_recall: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4281, f_measure: 0.4317, kappa: -0.1367, kb_relative_information_score: -0.0076, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.5, weighted_recall: 0.4317, number_of_instances: 556, precision: 0.4317, predictive_accuracy: 0.4317, prior_entropy: 1, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0062, unweighted_recall: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9802, kappa: 0.9604, kb_relative_information_score: 0.9408, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.5, weighted_recall: 0.9802, number_of_instances: 556, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 1, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2353, unweighted_recall: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4439, f_measure: 0.4652, kappa: -0.0683, kb_relative_information_score: -0.011, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.5, weighted_recall: 0.4658, number_of_instances: 556, precision: 0.4657, predictive_accuracy: 0.4658, prior_entropy: 1, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0102, unweighted_recall: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.956, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.0943, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.4596, kappa: -0.0791, kb_relative_information_score: -0.0051, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.5, weighted_recall: 0.4604, number_of_instances: 556, precision: 0.4602, predictive_accuracy: 0.4604, prior_entropy: 1, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, unweighted_recall: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.964, kappa: 0.9281, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, weighted_recall: 0.964, number_of_instances: 556, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 1, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2655, unweighted_recall: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4964, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4663, f_measure: 0.4959, kappa: -0.0072, kb_relative_information_score: -0.0042, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, weighted_recall: 0.4964, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9996, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0016, root_relative_squared_error: 0.0033, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7961, kappa: 0.6043, kb_relative_information_score: 0.4816, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.5, weighted_recall: 0.8022, number_of_instances: 556, precision: 0.8431, predictive_accuracy: 0.8022, prior_entropy: 1, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.725, unweighted_recall: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.5072, kappa: 0.0144, kb_relative_information_score: 0.0009, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.5, weighted_recall: 0.5072, number_of_instances: 556, precision: 0.5072, predictive_accuracy: 0.5072, prior_entropy: 1, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, unweighted_recall: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4116, f_measure: 0.4406, kappa: -0.1187, kb_relative_information_score: -0.0217, mean_absolute_error: 0.5081, mean_prior_absolute_error: 0.5, weighted_recall: 0.4406, number_of_instances: 556, precision: 0.4406, predictive_accuracy: 0.4406, prior_entropy: 1, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0205, unweighted_recall: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7975, kappa: 0.6079, kb_relative_information_score: 0.4572, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.5, weighted_recall: 0.804, number_of_instances: 556, precision: 0.8481, predictive_accuracy: 0.804, prior_entropy: 1, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7321, unweighted_recall: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4398, f_measure: 0.4616, kappa: -0.0683, kb_relative_information_score: -0.0051, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.5, weighted_recall: 0.4658, number_of_instances: 556, precision: 0.4647, predictive_accuracy: 0.4658, prior_entropy: 1, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0042, unweighted_recall: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0, root_relative_squared_error: 0, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 0.3116, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.5, weighted_recall: 0.7464, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8398, unweighted_recall: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0, root_relative_squared_error: 0, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4964, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4515, f_measure: 0.4884, kappa: -0.0216, kb_relative_information_score: -0.0138, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.5, weighted_recall: 0.4892, number_of_instances: 556, precision: 0.4891, predictive_accuracy: 0.4892, prior_entropy: 1, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0154, unweighted_recall: 0.4892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4551, f_measure: 0.4799, kappa: -0.0396, kb_relative_information_score: -0.0157, mean_absolute_error: 0.5062, mean_prior_absolute_error: 0.5, weighted_recall: 0.4802, number_of_instances: 556, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0198, unweighted_recall: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.5123, kappa: 0.0252, kb_relative_information_score: -0.0097, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.5, weighted_recall: 0.5126, number_of_instances: 556, precision: 0.5126, predictive_accuracy: 0.5126, prior_entropy: 1, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0146, unweighted_recall: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4816, kappa: -0.036, kb_relative_information_score: -0.0144, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.5, weighted_recall: 0.482, number_of_instances: 556, precision: 0.482, predictive_accuracy: 0.482, prior_entropy: 1, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0201, unweighted_recall: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 0.9345, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.5, weighted_recall: 0.9784, number_of_instances: 556, precision: 0.9793, predictive_accuracy: 0.9784, prior_entropy: 1, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2619, unweighted_recall: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4366, f_measure: 0.4577, kappa: -0.0827, kb_relative_information_score: -0.0133, mean_absolute_error: 0.5049, mean_prior_absolute_error: 0.5, weighted_recall: 0.4586, number_of_instances: 556, precision: 0.4583, predictive_accuracy: 0.4586, prior_entropy: 1, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.013, unweighted_recall: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9658, kappa: 0.9317, kb_relative_information_score: 0.9456, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.5, weighted_recall: 0.9658, number_of_instances: 556, precision: 0.9659, predictive_accuracy: 0.9658, prior_entropy: 1, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2467, unweighted_recall: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0, root_relative_squared_error: 0, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9658, kappa: 0.9317, kb_relative_information_score: 0.9017, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.5, weighted_recall: 0.9658, number_of_instances: 556, precision: 0.966, predictive_accuracy: 0.9658, prior_entropy: 1, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2721, unweighted_recall: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.4671, kappa: -0.0612, kb_relative_information_score: -0.0093, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.5, weighted_recall: 0.4694, number_of_instances: 556, precision: 0.4689, predictive_accuracy: 0.4694, prior_entropy: 1, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0107, unweighted_recall: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4504, f_measure: 0.4339, kappa: -0.1223, kb_relative_information_score: -0.0097, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.5, weighted_recall: 0.4388, number_of_instances: 556, precision: 0.4366, predictive_accuracy: 0.4388, prior_entropy: 1, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0108, unweighted_recall: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0, root_relative_squared_error: 0, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 0.962, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.5, weighted_recall: 0.9784, number_of_instances: 556, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 1, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1794, unweighted_recall: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9999, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, f_measure: 0.4928, kappa: -0.0144, kb_relative_information_score: -0.0038, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.5, weighted_recall: 0.4928, number_of_instances: 556, precision: 0.4928, predictive_accuracy: 0.4928, prior_entropy: 1, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0038, unweighted_recall: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4246, f_measure: 0.4477, kappa: -0.1043, kb_relative_information_score: -0.0077, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.5, weighted_recall: 0.4478, number_of_instances: 556, precision: 0.4478, predictive_accuracy: 0.4478, prior_entropy: 1, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0063, unweighted_recall: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 0.9521, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.5, weighted_recall: 0.9766, number_of_instances: 556, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 1, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2201, unweighted_recall: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4356, f_measure: 0.4489, kappa: -0.1007, kb_relative_information_score: -0.0029, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, weighted_recall: 0.4496, number_of_instances: 556, precision: 0.4494, predictive_accuracy: 0.4496, prior_entropy: 1, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022, unweighted_recall: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4721, f_measure: 0.4946, kappa: -0.0108, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, weighted_recall: 0.4946, number_of_instances: 556, precision: 0.4946, predictive_accuracy: 0.4946, prior_entropy: 1, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, unweighted_recall: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4818, kappa: -0.036, kb_relative_information_score: -0.003, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, weighted_recall: 0.482, number_of_instances: 556, precision: 0.482, predictive_accuracy: 0.482, prior_entropy: 1, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, unweighted_recall: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9997, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0007, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9694, kappa: 0.9388, kb_relative_information_score: 0.8599, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.5, weighted_recall: 0.9694, number_of_instances: 556, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 1, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2943, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0, root_relative_squared_error: 0, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9226, kappa: 0.8453, kb_relative_information_score: 0.8513, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.5, weighted_recall: 0.9227, number_of_instances: 556, precision: 0.9231, predictive_accuracy: 0.9227, prior_entropy: 1, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3844, unweighted_recall: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.422, f_measure: 0.4489, kappa: -0.1007, kb_relative_information_score: -0.0059, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, weighted_recall: 0.4496, number_of_instances: 556, precision: 0.4494, predictive_accuracy: 0.4496, prior_entropy: 1, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0046, unweighted_recall: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4427, f_measure: 0.4819, kappa: -0.036, kb_relative_information_score: -0.0179, mean_absolute_error: 0.5069, mean_prior_absolute_error: 0.5, weighted_recall: 0.482, number_of_instances: 556, precision: 0.482, predictive_accuracy: 0.482, prior_entropy: 1, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0194, unweighted_recall: 0.482,

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