OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
1 likes downloaded by 20 people , 25 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

270274 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: 0.9999, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 709.5272, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9701, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9608, kappa: 0.9124, kb_relative_information_score: 695.4925, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9635, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 527.5626, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 558.8309, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9324, kappa: 0.848, kb_relative_information_score: 613.7629, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9403, predictive_accuracy: 0.9342, prior_entropy: 0.9312, recall: 0.9342, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 591.6222, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 630.3506, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 622.7079, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 630.3506, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 630.3506, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 630.3506, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 630.3506, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 641.415, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9434, kappa: 0.8731, kb_relative_information_score: 653.3691, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9368, kappa: 0.8581, kb_relative_information_score: 628.0856, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9437, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.95, kappa: 0.888, kb_relative_information_score: 664.0554, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9544, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.95, kappa: 0.888, kb_relative_information_score: 670.234, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9544, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9434, kappa: 0.8731, kb_relative_information_score: 637.1826, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.95, kappa: 0.888, kb_relative_information_score: 670.234, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9544, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.95, kappa: 0.888, kb_relative_information_score: 670.234, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9544, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9467, kappa: 0.8805, kb_relative_information_score: 652.0903, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9517, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 667.0219, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9608, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 683.8009, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9617, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.964, kappa: 0.9197, kb_relative_information_score: 694.7556, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9663, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9662, kappa: 0.9245, kb_relative_information_score: 704.9816, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9682, predictive_accuracy: 0.9666, prior_entropy: 0.9312, recall: 0.9666, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9662, kappa: 0.9245, kb_relative_information_score: 711.1568, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9682, predictive_accuracy: 0.9666, prior_entropy: 0.9312, recall: 0.9666, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 465.0607, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 465.0607, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 465.0607, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 465.0607, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8748, kappa: 0.7169, kb_relative_information_score: 483.0688, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9001, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 465.0607, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8748, kappa: 0.7169, kb_relative_information_score: 483.0688, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9001, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8748, kappa: 0.7169, kb_relative_information_score: 483.0688, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9001, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8808, kappa: 0.7305, kb_relative_information_score: 506.2658, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9039, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,

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