Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111509 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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111509 Runs

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0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9973, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 594.5139, mean_absolute_error: 0.1969, 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: 0.4346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5301, scimark_benchmark: 1805.096, usercpu_time_millis: 12.354, usercpu_time_millis_testing: 3.276, usercpu_time_millis_training: 9.078,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.4958, f_measure: 0.5165, kb_relative_information_score: -2.347, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1876.2965, usercpu_time_millis: 4.165, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.084,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9974, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 747.5019, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3742,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9904, f_measure: 0.9758, kappa: 0.9462, kb_relative_information_score: 598.7295, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9767, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5091,
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: 0.5204, 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: 0.5587, f_measure: 0.6025, kappa: 0.1184, kb_relative_information_score: 85.9123, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6008, predictive_accuracy: 0.6044, prior_entropy: 0.9312, recall: 0.6044, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.629, root_relative_squared_error: 1.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.5506, kappa: 0.0113, kb_relative_information_score: -36, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5522, predictive_accuracy: 0.5491, prior_entropy: 0.9312, recall: 0.5491, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6715, root_relative_squared_error: 1.4111,
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: 0.5194, f_measure: 0.5625, kappa: 0.0385, kb_relative_information_score: -10.6974, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5646, predictive_accuracy: 0.5605, prior_entropy: 0.9312, recall: 0.5605, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6629, root_relative_squared_error: 1.3931,
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: 0.5104, f_measure: 0.5554, kappa: 0.0207, kb_relative_information_score: -24.4988, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5565, predictive_accuracy: 0.5543, prior_entropy: 0.9312, recall: 0.5543, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8537, kappa: 0.6694, kb_relative_information_score: 651.7691, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8715, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.783,
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: 0.9774, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 923.1963, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.5634, kappa: 0.0377, kb_relative_information_score: -6.097, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5642, predictive_accuracy: 0.5626, prior_entropy: 0.9312, recall: 0.5626, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6613, root_relative_squared_error: 1.3897,
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: 0.5, 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: 0.994, 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: 0.7377, f_measure: 0.7819, kappa: 0.5077, kb_relative_information_score: 497.6536, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7889, predictive_accuracy: 0.7912, prior_entropy: 0.9312, recall: 0.7912, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,
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: 0.988, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 939.2979, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.192,
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: 0.9578, f_measure: 0.9704, kappa: 0.9342, kb_relative_information_score: 893.2933, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.972, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.888, kappa: 0.7522, kb_relative_information_score: 711.5751, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8878, predictive_accuracy: 0.8883, prior_entropy: 0.9312, recall: 0.8883, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7023,
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: 0.9759, 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: 0.5, 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: 0.5692, f_measure: 0.6011, kappa: 0.1344, kb_relative_information_score: 67.5104, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6085, predictive_accuracy: 0.596, prior_entropy: 0.9312, recall: 0.596, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.4464, kappa: -0.2232, kb_relative_information_score: -261.4226, mean_absolute_error: 0.5532, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.446, predictive_accuracy: 0.4468, prior_entropy: 0.9312, recall: 0.4468, relative_absolute_error: 1.2213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7438, root_relative_squared_error: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.853, kappa: 0.6736, kb_relative_information_score: 635.6674, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8526, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8033,
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: 0.7291, f_measure: 0.7817, kappa: 0.5061, kb_relative_information_score: 511.455, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8065, predictive_accuracy: 0.7975, prior_entropy: 0.9312, recall: 0.7975, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3556, f_measure: 0.4167, kappa: -0.2897, kb_relative_information_score: -325.8291, mean_absolute_error: 0.5825, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.4159, predictive_accuracy: 0.4175, prior_entropy: 0.9312, recall: 0.4175, relative_absolute_error: 1.2858, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7632, root_relative_squared_error: 1.6038,
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: 0.3697, f_measure: 0.4304, kappa: -0.2631, kb_relative_information_score: -291.3256, mean_absolute_error: 0.5668, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.4278, predictive_accuracy: 0.4332, prior_entropy: 0.9312, recall: 0.4332, relative_absolute_error: 1.2512, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7529, root_relative_squared_error: 1.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.979, kappa: 0.9534, kb_relative_information_score: 911.6952, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9794, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3036,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9747, kappa: 0.9437, kb_relative_information_score: 902.4942, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9759, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3326,
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: 0.5942, f_measure: 0.6312, kappa: 0.1876, kb_relative_information_score: 143.418, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6321, predictive_accuracy: 0.6305, prior_entropy: 0.9312, recall: 0.6305, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.6489, kappa: 0.2327, kb_relative_information_score: 334.3372, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7837, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.1177,

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