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: 0.9549, 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: 0.9697, 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: 0.9697, 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: 0.9697, 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: 0.9697, 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,
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: 0.988, f_measure: 0.876, kappa: 0.7197, kb_relative_information_score: 449.1887, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9008, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6503,
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: 0.9817, f_measure: 0.87, kappa: 0.706, kb_relative_information_score: 425.4599, 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: 0.6191, 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: 0.988, f_measure: 0.876, kappa: 0.7197, kb_relative_information_score: 449.1887, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9008, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.87, kappa: 0.706, kb_relative_information_score: 425.4599, 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: 0.6191, 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: 0.9817, f_measure: 0.87, kappa: 0.706, kb_relative_information_score: 425.4599, 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: 0.6191, 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: 0.9817, f_measure: 0.87, kappa: 0.706, kb_relative_information_score: 425.4599, 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: 0.6191, 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: 0.9928, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 482.0701, mean_absolute_error: 0.2553, 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: 0.5635, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 482.0701, mean_absolute_error: 0.2553, 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: 0.5635, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 482.0701, mean_absolute_error: 0.2553, 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: 0.5635, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 482.0701, mean_absolute_error: 0.2553, 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: 0.5635, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.876, kappa: 0.7197, kb_relative_information_score: 449.1887, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9008, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 522.6638, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 515.7458, mean_absolute_error: 0.2398, 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: 0.5293, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 522.6638, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 522.6638, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 522.6638, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 522.6638, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9178, kappa: 0.8149, kb_relative_information_score: 525.6276, mean_absolute_error: 0.2353, 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: 0.5194, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9223, kappa: 0.8252, kb_relative_information_score: 539.6102, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9326, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9313, kappa: 0.8455, kb_relative_information_score: 547.9338, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9394, predictive_accuracy: 0.9332, prior_entropy: 0.9312, recall: 0.9332, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.266, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9357, kappa: 0.8556, kb_relative_information_score: 555.2027, mean_absolute_error: 0.2207, 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: 0.4873, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9335, kappa: 0.8506, kb_relative_information_score: 562.4301, mean_absolute_error: 0.2172, 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: 0.4795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9335, kappa: 0.8506, kb_relative_information_score: 562.4301, mean_absolute_error: 0.2172, 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: 0.4795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9335, kappa: 0.8506, kb_relative_information_score: 562.4301, mean_absolute_error: 0.2172, 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: 0.4795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9291, kappa: 0.8407, kb_relative_information_score: 535.4222, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9372, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5686,
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: 0.9983, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 580.9011, mean_absolute_error: 0.2089, 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: 0.4612, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8716, kappa: 0.7096, kb_relative_information_score: 411.2251, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8959, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8716, kappa: 0.7096, kb_relative_information_score: 411.2251, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8959, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.938, kappa: 0.861, kb_relative_information_score: 511.1466, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9437, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8835, kappa: 0.7367, kb_relative_information_score: 446.1357, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9036, predictive_accuracy: 0.8894, prior_entropy: 0.9312, recall: 0.8894, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8716, kappa: 0.7096, kb_relative_information_score: 411.2251, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8959, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9347, kappa: 0.8535, kb_relative_information_score: 495.7304, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.941, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9235, kappa: 0.828, kb_relative_information_score: 492.6761, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9329, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.5563, 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: 0.9916, f_measure: 0.9103, kappa: 0.798, kb_relative_information_score: 463.2021, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.921, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9227, kappa: 0.8262, kb_relative_information_score: 481.2403, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9304, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8716, kappa: 0.7096, kb_relative_information_score: 411.2251, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8959, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9235, kappa: 0.828, kb_relative_information_score: 492.6761, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9329, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6076,

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