Task
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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270274 results
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5165, kb_relative_information_score: -2.0898, mean_absolute_error: 0.4534, 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: 1.0009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1864.3131, usercpu_time_millis: 3.426, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.415,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 733.1467, mean_absolute_error: 0.1314, 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: 0.2901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3587, scimark_benchmark: 1789.9764, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 4.741,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7566, kappa: 0.4507, kb_relative_information_score: 233.3485, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8001, predictive_accuracy: 0.7808, prior_entropy: 0.9312, recall: 0.7808, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8351, scimark_benchmark: 1863.7034, usercpu_time_millis: 7.905, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.895,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5165, kb_relative_information_score: -24.0283, mean_absolute_error: 0.4588, 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: 1.0127, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008, scimark_benchmark: 1841.8169, usercpu_time_millis: 6.113, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.1,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7543, kappa: 0.4447, kb_relative_information_score: 233.5865, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7892, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8379, scimark_benchmark: 2009.9165, usercpu_time_millis: 12.141, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.13,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7372, kappa: 0.4067, kb_relative_information_score: 166.2088, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7747, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8855, scimark_benchmark: 1874.977, usercpu_time_millis: 2.901, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 2.892,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5165, kb_relative_information_score: -0.3024, mean_absolute_error: 0.453, 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: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1945.5912, usercpu_time_millis: 10.249, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 10.226,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7149, kappa: 0.3588, kb_relative_information_score: 145.5101, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7646, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8993, scimark_benchmark: 1868.2531, usercpu_time_millis: 14.25, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.244,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.5165, kb_relative_information_score: 16.0727, mean_absolute_error: 0.4471, 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: 0.9871, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9876, scimark_benchmark: 1861.4992, usercpu_time_millis: 6.493, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 6.479,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.636, kappa: 0.2044, kb_relative_information_score: 105.5663, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7549, predictive_accuracy: 0.7067, prior_entropy: 0.9312, recall: 0.7067, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9221, scimark_benchmark: 1866.5057, usercpu_time_millis: 6.402, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.395,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1724.4885, usercpu_time_millis: 8.353, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 8.341,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 881.7024, mean_absolute_error: 0.0417, 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: 0.0921, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2575, scimark_benchmark: 1836.59, usercpu_time_millis: 10.075, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 10.063,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.5165, kb_relative_information_score: 47.7838, mean_absolute_error: 0.4348, 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: 0.9599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9629, scimark_benchmark: 1834.8564, usercpu_time_millis: 6.921, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.908,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7849, kappa: 0.5134, kb_relative_information_score: 273.3662, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.807, predictive_accuracy: 0.7996, prior_entropy: 0.9312, recall: 0.7996, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.8117, scimark_benchmark: 1864.0845, usercpu_time_millis: 3.447, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.439,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.5625, kappa: 0.0773, kb_relative_information_score: 77.7939, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7827, predictive_accuracy: 0.6743, prior_entropy: 0.9312, recall: 0.6743, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9413, scimark_benchmark: 1753.3033, usercpu_time_millis: 1.62, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 1.611,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7138, kappa: 0.3545, kb_relative_information_score: 169.2761, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7487, predictive_accuracy: 0.7432, prior_entropy: 0.9312, recall: 0.7432, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8859, scimark_benchmark: 1847.5288, usercpu_time_millis: 11.375, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 11.363,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7455, kappa: 0.4249, kb_relative_information_score: 206.5855, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7771, predictive_accuracy: 0.7683, prior_entropy: 0.9312, recall: 0.7683, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8611, scimark_benchmark: 1853.9228, usercpu_time_millis: 10.036, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 10.023,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5165, kb_relative_information_score: 0.2918, mean_absolute_error: 0.4525, 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: 0.999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9994, scimark_benchmark: 1848.4848, usercpu_time_millis: 12.712, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 12.691,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5165, kb_relative_information_score: 1.7747, mean_absolute_error: 0.4517, 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: 0.9971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0003, scimark_benchmark: 2013.0862, usercpu_time_millis: 8.541, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 8.524,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7468, kappa: 0.4295, kb_relative_information_score: 189.6146, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7984, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8587, scimark_benchmark: 1862.8642, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.418,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7949, kappa: 0.5359, kb_relative_information_score: 294.8239, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8189, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7925, scimark_benchmark: 1851.4256, usercpu_time_millis: 6.936, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 6.924,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8848, kappa: 0.7403, kb_relative_information_score: 456.6635, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8972, predictive_accuracy: 0.8894, prior_entropy: 0.9312, recall: 0.8894, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6518, scimark_benchmark: 1868.5094, usercpu_time_millis: 17.512, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 17.418,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5165, kb_relative_information_score: 69.8913, mean_absolute_error: 0.424, 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: 0.936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9485, scimark_benchmark: 1868.4806, usercpu_time_millis: 12.657, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.647,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1836.2521, usercpu_time_millis: 10.846, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 10.82,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8684, kappa: 0.7028, kb_relative_information_score: 432.863, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8853, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6709, scimark_benchmark: 1856.6497, usercpu_time_millis: 4.214, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.202,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1837.0452, usercpu_time_millis: 15.815, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 15.803,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8995, kappa: 0.7737, kb_relative_information_score: 473.7507, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9096, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6349, scimark_benchmark: 1857.6175, usercpu_time_millis: 10.414, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 10.403,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.5165, kb_relative_information_score: 5.3996, mean_absolute_error: 0.4511, 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: 0.9958, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9821, scimark_benchmark: 1860.5088, usercpu_time_millis: 14.123, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 14.059,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 815
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.6864, kappa: 0.3003, kb_relative_information_score: 108.8216, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.756, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9168, scimark_benchmark: 1717.3625, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 6.747,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7375, kappa: 0.4063, kb_relative_information_score: 218.9685, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7471, predictive_accuracy: 0.7526, prior_entropy: 0.9312, recall: 0.7526, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.858, scimark_benchmark: 1823.4673, usercpu_time_millis: 12.811, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.8,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1865.9567, usercpu_time_millis: 11.791, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 11.764,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.5165, kb_relative_information_score: 35.4965, mean_absolute_error: 0.439, 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: 0.9691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9733, scimark_benchmark: 1874.977, usercpu_time_millis: 15.877, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 15.865,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1836.3251, usercpu_time_millis: 18.182, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 18.145,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.6237, kappa: 0.1852, kb_relative_information_score: 95.6003, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7776, predictive_accuracy: 0.7035, prior_entropy: 0.9312, recall: 0.7035, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9289, scimark_benchmark: 1742.2915, usercpu_time_millis: 10.368, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 10.359,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7454, kappa: 0.4261, kb_relative_information_score: 178.7083, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7724, prior_entropy: 0.9312, recall: 0.7724, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8728, scimark_benchmark: 1830.2398, usercpu_time_millis: 4.008, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.997,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 1
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction count does not match: Repeat 0 fold 8 sample 0 expected predictions with row id's [16, 27, 29, 35, 40, 51, 80, 81, 84, 87, 90, 91, 107, 119, 129, 143, 170, 171, 176, 186, 206, 207, 212, 223, 230, 243, 257, 274, 284, 286, 292, 302, 316, 336, 338, 343, 349, 360, 370, 416, 444, 463, 473, 474, 479, 490, 504, 510, 515, 520, 523, 528, 556, 558, 559, 581, 582, 597, 599, 600, 601, 615, 627, 635, 640, 664, 689, 690, 707, 731, 748, 754, 755, 760, 762, 784, 791, 799, 816, 819, 823, 824, 830, 832, 838, 841, 843, 850, 866, 875, 895, 896, 929, 948, 955] , but got predictions with row id's [27, 40, 51, 80, 81, 84, 91, 107, 119, 129, 143, 171, 176, 186, 207, 212, 223, 230, 257, 274, 292, 302, 336, 370, 416, 444, 479, 504, 510, 523, 556, 558, 559, 581, 582, 599, 601, 615]
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.5308, kappa: 0.0235, kb_relative_information_score: 77.3245, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.6597, prior_entropy: 0.9312, recall: 0.6597, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9418, scimark_benchmark: 1836.5879, usercpu_time_millis: 14.539, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.528,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7207, kappa: 0.3715, kb_relative_information_score: 195.5614, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7205, predictive_accuracy: 0.7296, prior_entropy: 0.9312, recall: 0.7296, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8894, scimark_benchmark: 1856.5927, usercpu_time_millis: 16.096, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 16.068,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7252, kappa: 0.3823, kb_relative_information_score: 156.6718, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8895, scimark_benchmark: 2073.0024, usercpu_time_millis: 15.531, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 15.519,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1800.6737, usercpu_time_millis: 12.41, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 12.401,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7208, kappa: 0.3728, kb_relative_information_score: 142.2221, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7769, predictive_accuracy: 0.7547, prior_entropy: 0.9312, recall: 0.7547, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9019, scimark_benchmark: 1786.1415, usercpu_time_millis: 3.928, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 3.911,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1850.7879, usercpu_time_millis: 20.244, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 20.206,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -1.0406, mean_absolute_error: 0.4532, 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: 1.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1832.2824, usercpu_time_millis: 4.481, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 4.465,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7336, kappa: 0.398, kb_relative_information_score: 194.4859, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7638, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8587, scimark_benchmark: 1851.3495, usercpu_time_millis: 21.48, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 21.41,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7344, kappa: 0.4004, kb_relative_information_score: 175.2541, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.769, predictive_accuracy: 0.7599, prior_entropy: 0.9312, recall: 0.7599, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8758, scimark_benchmark: 1897.6222, usercpu_time_millis: 30.537, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 30.353,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 842.7304, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2891, scimark_benchmark: 1848.1462, usercpu_time_millis: 27.431, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 27.349,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8159, kappa: 0.5835, kb_relative_information_score: 320.6156, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8396, predictive_accuracy: 0.8278, prior_entropy: 0.9312, recall: 0.8278, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7654, scimark_benchmark: 1871.9601, usercpu_time_millis: 9.796, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.785,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 895.4304, mean_absolute_error: 0.0322, 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: 0.0711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2577, scimark_benchmark: 2094.9454, usercpu_time_millis: 15.944, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 15.936,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 708.7608, mean_absolute_error: 0.1448, 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: 0.3196, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3949, scimark_benchmark: 1748.6032, usercpu_time_millis: 6.625, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.612,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 739.1754, mean_absolute_error: 0.1283, 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: 0.2831, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3629, scimark_benchmark: 1864.1085, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.244,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.6084, kappa: 0.1592, kb_relative_information_score: 89.8347, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7931, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9328, scimark_benchmark: 1872.9496, usercpu_time_millis: 15.004, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 14.992,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8995, kappa: 0.7737, kb_relative_information_score: 475.2013, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9096, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6337, scimark_benchmark: 1848.1639, usercpu_time_millis: 22.028, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 22.012,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 684.5605, mean_absolute_error: 0.1581, 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: 0.349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.419, scimark_benchmark: 1841.9269, usercpu_time_millis: 7.019, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.008,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.5165, kb_relative_information_score: -57.2107, mean_absolute_error: 0.4669, 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: 1.0306, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.992, scimark_benchmark: 1776.4357, usercpu_time_millis: 27.459, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 27.418,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 866.2037, mean_absolute_error: 0.0519, 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: 0.1146, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2628, scimark_benchmark: 1867.6581, usercpu_time_millis: 18.15, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 18.142,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.5165, kb_relative_information_score: 32.5208, mean_absolute_error: 0.441, 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: 0.9735, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.464, root_relative_squared_error: 0.975, scimark_benchmark: 1850.8786, usercpu_time_millis: 15.741, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.732,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9811, kappa: 0.958, kb_relative_information_score: 633.5191, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9817, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4731, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.496, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.486,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8104, kappa: 0.5713, kb_relative_information_score: 325.2224, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.853, predictive_accuracy: 0.8267, prior_entropy: 0.9312, recall: 0.8267, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7521, scimark_benchmark: 1855.7549, usercpu_time_millis: 25.429, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 25.336,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 883.2132, mean_absolute_error: 0.0408, 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: 0.09, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2573, scimark_benchmark: 1834.8564, usercpu_time_millis: 4.955, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 4.938,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1948.3023, usercpu_time_millis: 16.278, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 16.265,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7296, kappa: 0.3918, kb_relative_information_score: 156.8663, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7826, predictive_accuracy: 0.761, prior_entropy: 0.9312, recall: 0.761, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8873, scimark_benchmark: 1862.932, usercpu_time_millis: 5.258, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.248,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8706, kappa: 0.7078, kb_relative_information_score: 433.3303, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8877, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6681, scimark_benchmark: 1782.7421, usercpu_time_millis: 12.068, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 12.051,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7294, kappa: 0.3878, kb_relative_information_score: 232.2295, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7446, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8496, scimark_benchmark: 1978.9026, usercpu_time_millis: 2.733, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.723,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6503, kappa: 0.2323, kb_relative_information_score: 102.9439, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7637, predictive_accuracy: 0.715, prior_entropy: 0.9312, recall: 0.715, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9213, scimark_benchmark: 1838.9074, usercpu_time_millis: 7.594, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 7.581,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5165, kb_relative_information_score: -2.5214, mean_absolute_error: 0.4534, 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: 1.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001, scimark_benchmark: 1869.1727, usercpu_time_millis: 20.241, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 20.212,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.717, kappa: 0.3642, kb_relative_information_score: 109.192, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7726, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9243, scimark_benchmark: 1905.3231, usercpu_time_millis: 11.211, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 11.197,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: nominal value not declared in header, read Token[posi], line 130
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.5165, kb_relative_information_score: -4.46, mean_absolute_error: 0.4541, 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: 1.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9998, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.002,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 898.0844, mean_absolute_error: 0.0302, 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: 0.0666, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2592, scimark_benchmark: 1870.5139, usercpu_time_millis: 16.316, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.307,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 791.183, mean_absolute_error: 0.0983, 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: 0.2169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3144, scimark_benchmark: 1868.1832, usercpu_time_millis: 16.256, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 16.245,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 699.8332, mean_absolute_error: 0.1498, 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: 0.3308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4033, scimark_benchmark: 1844.1344, usercpu_time_millis: 5.764, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.754,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1843.3604, usercpu_time_millis: 11.816, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 11.8,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.5165, kb_relative_information_score: 6.389, mean_absolute_error: 0.4505, 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: 0.9945, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9948, scimark_benchmark: 1823.9433, usercpu_time_millis: 7.575, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 7.561,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 887.7332, mean_absolute_error: 0.0376, 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: 0.083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2568, scimark_benchmark: 1969.4681, usercpu_time_millis: 13.57, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 13.561,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9524, kappa: 0.894, kb_relative_information_score: 549.9235, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9541, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5551, scimark_benchmark: 1859.702, usercpu_time_millis: 9.264, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 9.202,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7051, kappa: 0.3396, kb_relative_information_score: 130.2694, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7685, predictive_accuracy: 0.7443, prior_entropy: 0.9312, recall: 0.7443, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9057, scimark_benchmark: 1844.3862, usercpu_time_millis: 12.474, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 12.459,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction count does not match: Repeat 0 fold 3 sample 0 expected predictions with row id's [9, 11, 13, 19, 20, 22, 50, 52, 62, 64, 66, 67, 74, 83, 86, 100, 120, 124, 136, 137, 162, 167, 169, 177, 181, 198, 199, 203, 221, 231, 234, 255, 259, 265, 267, 272, 301, 311, 312, 322, 374, 378, 382, 431, 442, 461, 476, 484, 489, 496, 511, 518, 532, 533, 546, 550, 565, 566, 586, 587, 589, 608, 620, 654, 666, 680, 683, 684, 699, 703, 713, 716, 724, 729, 749, 753, 780, 797, 831, 840, 862, 867, 873, 885, 888, 889, 894, 903, 904, 914, 918, 922, 931, 935, 950, 954] , but got predictions with row id's [9, 11, 13, 19, 20, 22, 50, 52, 62, 64, 66, 67, 74, 83, 86, 100, 120, 124, 136, 137, 162, 167, 169, 177, 181, 198, 199, 203, 221, 231, 234, 255, 259, 265, 267, 272, 301, 311, 312, 322, 374, 378, 382, 431, 442, 461, 476, 484, 489, 496, 511, 518, 532, 533, 546, 550, 565, 566, 586, 587, 589, 608, 620, 654, 666, 683, 684, 729, 749, 780, 797, 840, 862, 885, 889, 903, 904, 918, 922, 931, 935, 950]
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.5165, kb_relative_information_score: -78.4048, mean_absolute_error: 0.4728, 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: 1.0438, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0016, scimark_benchmark: 1867.5973, usercpu_time_millis: 5.099, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 5.082,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1872.0299, usercpu_time_millis: 25.661, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 25.625,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7577, kappa: 0.4521, kb_relative_information_score: 277.8244, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.786, predictive_accuracy: 0.7777, prior_entropy: 0.9312, recall: 0.7777, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8108, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.126, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.119,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.5165, kb_relative_information_score: -0.1699, mean_absolute_error: 0.4529, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1867.1802, usercpu_time_millis: 2.496, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.486,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 680
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7187, kappa: 0.3685, kb_relative_information_score: 141.2639, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7773, predictive_accuracy: 0.7537, prior_entropy: 0.9312, recall: 0.7537, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8976, scimark_benchmark: 1864.467, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 4.71,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.5165, kb_relative_information_score: 18.8467, mean_absolute_error: 0.4457, 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: 0.9838, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9852, scimark_benchmark: 1851.945, usercpu_time_millis: 12.753, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 12.738,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7331, kappa: 0.399, kb_relative_information_score: 159.3762, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7832, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.887, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.365,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7667, kappa: 0.4729, kb_relative_information_score: 272.8786, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8053, predictive_accuracy: 0.7881, prior_entropy: 0.9312, recall: 0.7881, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8064, scimark_benchmark: 1862.6199, usercpu_time_millis: 11.222, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 11.212,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1843.3604, usercpu_time_millis: 15.368, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 15.34,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 819.7616, mean_absolute_error: 0.0811, 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: 0.179, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2909, scimark_benchmark: 1853.4212, usercpu_time_millis: 14.271, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 14.257,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6194, kappa: 0.1788, kb_relative_information_score: 93.167, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7888, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9305, scimark_benchmark: 2173.4568, usercpu_time_millis: 7.931, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 7.919,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 564
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7789, kappa: 0.5, kb_relative_information_score: 288.6551, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.795, predictive_accuracy: 0.7923, prior_entropy: 0.9312, recall: 0.7923, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8008, scimark_benchmark: 1868.1466, usercpu_time_millis: 26.214, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 26.104,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 2035.049, usercpu_time_millis: 7.925, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.915,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1870.742, usercpu_time_millis: 3.092, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 3.083,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1871.9601, usercpu_time_millis: 8.088, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 8.069,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9093, kappa: 0.7968, kb_relative_information_score: 495.1668, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9134, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6221, scimark_benchmark: 1842.4493, usercpu_time_millis: 14.957, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 14.914,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1863.995, usercpu_time_millis: 16.833, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 16.801,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1828.4655, usercpu_time_millis: 20.231, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 20.2,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6996, kappa: 0.3238, kb_relative_information_score: 140.6362, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7402, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9072, scimark_benchmark: 1851.1514, usercpu_time_millis: 23.542, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 23.479,

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

estimation_procedure 10-fold Crossvalidation
source_data tic-tac-toe (1)
target_feature Class

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

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