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: 0.9779, 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: 0.9848, 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: 0.9848, 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: 0.9894, 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: 0.9848, 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: 0.9894, 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: 0.9894, 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: 506.241, 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: 506.241, 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: 506.241, 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: 506.241, 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: 506.241, 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: 506.241, 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: 506.241, 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: 536.2474, 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: 536.2474, 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: 536.2474, 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: 536.2474, 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: 536.2474, 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: 536.2474, 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: 536.2474, 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: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.469, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9301, kappa: 0.843, kb_relative_information_score: 593.4376, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9385, predictive_accuracy: 0.9322, prior_entropy: 0.9312, recall: 0.9322, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 608.0168, mean_absolute_error: 0.1933, 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: 0.4266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 602.2229, mean_absolute_error: 0.1958, 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: 0.4323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 608.0168, mean_absolute_error: 0.1933, 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: 0.4266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 608.0168, mean_absolute_error: 0.1933, 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: 0.4266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 608.0168, mean_absolute_error: 0.1933, 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: 0.4266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 608.0168, mean_absolute_error: 0.1933, 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: 0.4266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 609.5757, mean_absolute_error: 0.1924, 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: 0.4247, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5077,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9478, kappa: 0.883, kb_relative_information_score: 651.5915, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9526, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 501.134, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 535.3249, mean_absolute_error: 0.2293, 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: 0.5061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 501.134, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 501.134, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 535.3249, mean_absolute_error: 0.2293, 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: 0.5061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 501.134, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 535.3249, mean_absolute_error: 0.2293, 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: 0.5061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 501.134, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 501.134, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 535.3249, mean_absolute_error: 0.2293, 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: 0.5061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9234, kappa: 0.8277, kb_relative_information_score: 570.2481, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9334, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5421,

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