OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9875, kappa: 0.9723, kb_relative_information_score: 930.097, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 948.4988, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.0993, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.5765, kappa: 0.0656, kb_relative_information_score: 23.806, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5768, predictive_accuracy: 0.5762, prior_entropy: 0.9312, recall: 0.5762, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.651, root_relative_squared_error: 1.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.84, kappa: 0.639, kb_relative_information_score: 619.5658, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8503, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, f_measure: 0.5646, kappa: 0.0407, kb_relative_information_score: -3.7967, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5655, predictive_accuracy: 0.5637, prior_entropy: 0.9312, recall: 0.5637, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8346, kappa: 0.627, kb_relative_information_score: 608.0647, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8443, predictive_accuracy: 0.8413, prior_entropy: 0.9312, recall: 0.8413, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7986, kappa: 0.5457, kb_relative_information_score: 559.7598, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8585, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.425, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9172, kappa: 0.815, kb_relative_information_score: 778.2818, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9196, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.6463, kappa: 0.227, kb_relative_information_score: 329.7367, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7779, predictive_accuracy: 0.715, prior_entropy: 0.9312, recall: 0.715, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.6539, kappa: 0.2449, kb_relative_information_score: 345.8383, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8051, predictive_accuracy: 0.7223, prior_entropy: 0.9312, recall: 0.7223, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.1073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 955.3995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9312, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8133, kappa: 0.5783, kb_relative_information_score: 585.0624, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8657, predictive_accuracy: 0.8309, prior_entropy: 0.9312, recall: 0.8309, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6912, kappa: 0.3056, kb_relative_information_score: 357.3395, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7324, predictive_accuracy: 0.7276, prior_entropy: 0.9312, recall: 0.7276, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 950.7991, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7513, kappa: 0.4376, kb_relative_information_score: 442.448, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7637, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6978, kappa: 0.3305, kb_relative_information_score: 401.0439, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.808, predictive_accuracy: 0.7474, prior_entropy: 0.9312, recall: 0.7474, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.0993, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5646, kappa: 0.0382, kb_relative_information_score: -1.4965, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5644, predictive_accuracy: 0.5647, prior_entropy: 0.9312, recall: 0.5647, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.3864,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7577, kappa: 0.4518, kb_relative_information_score: 456.2494, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7715, predictive_accuracy: 0.7724, prior_entropy: 0.9312, recall: 0.7724, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5542, kappa: 0.0177, kb_relative_information_score: -26.7991, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5551, predictive_accuracy: 0.5532, prior_entropy: 0.9312, recall: 0.5532, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6684, root_relative_squared_error: 1.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 918.5958, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8767, kappa: 0.7216, kb_relative_information_score: 697.7737, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8912, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7217,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 955.3995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9312, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8896, kappa: 0.7547, kb_relative_information_score: 716.1755, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8896, predictive_accuracy: 0.8904, prior_entropy: 0.9312, recall: 0.8904, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6066, kappa: 0.1317, kb_relative_information_score: 90.5127, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6068, predictive_accuracy: 0.6065, prior_entropy: 0.9312, recall: 0.6065, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6273, root_relative_squared_error: 1.3182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9467, kappa: 0.8805, kb_relative_information_score: 842.6882, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9517, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4801,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.6025, kappa: 0.1205, kb_relative_information_score: 83.612, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6017, predictive_accuracy: 0.6033, prior_entropy: 0.9312, recall: 0.6033, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6298, root_relative_squared_error: 1.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.5601, kappa: 0.0326, kb_relative_information_score: -15.2979, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5619, predictive_accuracy: 0.5585, prior_entropy: 0.9312, recall: 0.5585, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.3964,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.6424, kappa: 0.2208, kb_relative_information_score: 327.4365, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7857, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.1238,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.7813, kappa: 0.5067, kb_relative_information_score: 525.2564, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8353, predictive_accuracy: 0.8038, prior_entropy: 0.9312, recall: 0.8038, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9309,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5987, kappa: 0.1179, kb_relative_information_score: 69.8106, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6005, predictive_accuracy: 0.5971, prior_entropy: 0.9312, recall: 0.5971, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6348, root_relative_squared_error: 1.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9257, kappa: 0.8328, kb_relative_information_score: 603.5022, mean_absolute_error: 0.194, 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: 0.4281, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5174, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 602.3049, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5062, scimark_benchmark: 1821.7903, usercpu_time_millis: 6.894, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 5.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 700.3419, mean_absolute_error: 0.1436, 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: 0.3169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4274, scimark_benchmark: 1870.2804, usercpu_time_millis: 4.826, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 4.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 642.8868, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9617, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4714, scimark_benchmark: 1818.9532, usercpu_time_millis: 10.403, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 8.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 710.5099, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9617, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4205, scimark_benchmark: 1853.454, usercpu_time_millis: 13.747, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 12.196,

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