OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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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: 0.9999, f_measure: 0.9704, kappa: 0.9342, kb_relative_information_score: 723.4248, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.972, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3999,
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: 0.9818, 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: 0.9818, 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: 0.9938, 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: 0.9914, 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: 0.9967, 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,
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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

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From your own software

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

OpenML APIs