Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270250 runs submitted
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270250 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8246, kappa: 0.6035, kb_relative_information_score: 451.0615, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8414, predictive_accuracy: 0.834, prior_entropy: 0.9312, recall: 0.834, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 702.3741, mean_absolute_error: 0.1159, 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: 0.2558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 28.0378, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8771, kappa: 0.7271, kb_relative_information_score: 688.5728, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8769, predictive_accuracy: 0.8779, prior_entropy: 0.9312, recall: 0.8779, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, 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: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, 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: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, 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: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.3586, mean_absolute_error: 0.1904, 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: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.3586, mean_absolute_error: 0.1904, 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: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5165,
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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,

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