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: 0.9974, 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: 0.998, f_measure: 0.9178, kappa: 0.8149, kb_relative_information_score: 560.1603, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9293, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5517,
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: 0.9986, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 572.8925, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 572.8925, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 572.8925, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 572.8925, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 572.8925, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 575.8379, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9335, kappa: 0.8506, kb_relative_information_score: 590.1952, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9411, predictive_accuracy: 0.9353, prior_entropy: 0.9312, recall: 0.9353, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 601.6764, mean_absolute_error: 0.1972, 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: 0.4354, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 610.9079, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 616.368, mean_absolute_error: 0.1902, 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: 0.4198, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 616.368, mean_absolute_error: 0.1902, 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: 0.4198, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9401, kappa: 0.8656, kb_relative_information_score: 585.6225, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9463, predictive_accuracy: 0.9415, prior_entropy: 0.9312, recall: 0.9415, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 616.368, mean_absolute_error: 0.1902, 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: 0.4198, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 602.4736, mean_absolute_error: 0.1976, 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: 0.4362, 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: 0.9992, f_measure: 0.9478, kappa: 0.883, kb_relative_information_score: 618.4351, mean_absolute_error: 0.1895, 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: 0.4183, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 630.4958, mean_absolute_error: 0.1837, 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: 0.4055, 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: 0.9997, f_measure: 0.9651, kappa: 0.9221, kb_relative_information_score: 644.9564, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9673, predictive_accuracy: 0.9656, prior_entropy: 0.9312, recall: 0.9656, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9704, kappa: 0.9342, kb_relative_information_score: 658.0684, mean_absolute_error: 0.1694, 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: 0.374, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 663.5883, mean_absolute_error: 0.166, 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: 0.3664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8563, kappa: 0.6749, kb_relative_information_score: 385.2291, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8841, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8563, kappa: 0.6749, kb_relative_information_score: 385.2291, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8841, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.87, kappa: 0.706, kb_relative_information_score: 425.4741, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8971, predictive_accuracy: 0.8779, prior_entropy: 0.9312, recall: 0.8779, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8563, kappa: 0.6749, kb_relative_information_score: 385.2291, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8841, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8563, kappa: 0.6749, kb_relative_information_score: 385.2291, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8841, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8619, kappa: 0.6877, kb_relative_information_score: 402.75, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8899, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8619, kappa: 0.6877, kb_relative_information_score: 402.75, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8899, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8619, kappa: 0.6877, kb_relative_information_score: 402.75, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8899, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6908,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9357, kappa: 0.8556, kb_relative_information_score: 549.6909, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9428, predictive_accuracy: 0.9374, prior_entropy: 0.9312, recall: 0.9374, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 579.9992, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 593.87, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8316, kappa: 0.6191, kb_relative_information_score: 310.1717, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.868, predictive_accuracy: 0.8445, prior_entropy: 0.9312, recall: 0.8445, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,

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