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Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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147053 results

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.923, kappa: 0.3373, kb_relative_information_score: 154.1486, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.919, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9231, scimark_benchmark: 1271.4176, usercpu_time_millis: 141.093, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 139.668,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: -177.4424, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.9579, scimark_benchmark: 1239.6954, usercpu_time_millis: 55.389, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 55.375,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.9123, kappa: 0.1892, kb_relative_information_score: -166.0816, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.912, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.9573, scimark_benchmark: 1259.9193, usercpu_time_millis: 37.729, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 37.714,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.9106, kappa: 0.1707, kb_relative_information_score: -163.157, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9094, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.9539, scimark_benchmark: 1219.6645, usercpu_time_millis: 43.022, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 43.008,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.91, kappa: 0.1578, kb_relative_information_score: -161.4449, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9116, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.9545, scimark_benchmark: 1249.1392, usercpu_time_millis: 34.599, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 34.585,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.9065, kappa: 0.1403, kb_relative_information_score: -236.7689, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8994, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.9829, scimark_benchmark: 1257.7531, usercpu_time_millis: 66.068, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 66.054,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.8971, kb_relative_information_score: -474.7018, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9661, scimark_benchmark: 1224.7412, usercpu_time_millis: 49.123, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 48.865,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1269.3864, usercpu_time_millis: 108.862, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 108.366,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.9088, kappa: 0.1518, kb_relative_information_score: -177.5243, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9065, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9568, scimark_benchmark: 1199.5076, usercpu_time_millis: 63.948, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 63.934,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: -213.8541, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.9619, scimark_benchmark: 1226.7639, usercpu_time_millis: 2.311, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 2.296,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.9163, kappa: 0.2953, kb_relative_information_score: -202.7907, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9112, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.9332,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.9059, kappa: 0.1376, kb_relative_information_score: -260.4766, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.898, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.9937, scimark_benchmark: 1232.4965, usercpu_time_millis: 34.082, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 34.068,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9163, kappa: 0.2882, kb_relative_information_score: 58.3051, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9109, predictive_accuracy: 0.9252, prior_entropy: 0.3667, recall: 0.9252, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.9732, scimark_benchmark: 1240.7376, usercpu_time_millis: 21.298, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 21.036,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1233.1563, usercpu_time_millis: 15.386, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 15.29,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.8971, kb_relative_information_score: -6549.014, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.1944, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.418, root_relative_squared_error: 1.6443, scimark_benchmark: 1262.5663, usercpu_time_millis: 10.615, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 10.55,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.901, kappa: 0.0583, kb_relative_information_score: -225.1625, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8941, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.9651, scimark_benchmark: 1268.1873, usercpu_time_millis: 48.226, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 48.211,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -480.2828, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9744, scimark_benchmark: 1219.3116, usercpu_time_millis: 62.737, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 62.137,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -169.8502, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.245, root_relative_squared_error: 0.9637, scimark_benchmark: 1258.4453, usercpu_time_millis: 42.086, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 42.07,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.8971, kb_relative_information_score: -4280.6407, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.9978, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2933, root_relative_squared_error: 1.154, scimark_benchmark: 1232.7547, usercpu_time_millis: 20.121, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 19.992,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.9257, kappa: 0.3529, kb_relative_information_score: -192.2412, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.923, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.8804,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.9168, kappa: 0.2842, kb_relative_information_score: -227.7212, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9114, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.9278,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.9094, kappa: 0.1548, kb_relative_information_score: -353.7661, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9089, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.915,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1258.2388, usercpu_time_millis: 46.295, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 46.042,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: -189.0702, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.9617, scimark_benchmark: 1227.7477, usercpu_time_millis: 6.669, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.656,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.903, kappa: 0.1345, kb_relative_information_score: -97.8686, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8928, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.9665, scimark_benchmark: 1217.2265, usercpu_time_millis: 45.308, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 44.934,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.8965, kappa: 0.0124, kb_relative_information_score: -765.878, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8763, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.9957, scimark_benchmark: 1268.0559, usercpu_time_millis: 8.928, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 8.913,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.9106, kappa: 0.1707, kb_relative_information_score: -183.5557, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9094, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.9652, scimark_benchmark: 1276.5988, usercpu_time_millis: 38.53, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 38.517,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.8971, kb_relative_information_score: -6980.9159, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.5185, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.8004, scimark_benchmark: 1269.9132, usercpu_time_millis: 95.169, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 94.625,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.9112, kappa: 0.1738, kb_relative_information_score: -167.9728, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9117, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.9531, scimark_benchmark: 1269.8546, usercpu_time_millis: 38.646, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 38.632,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.9094, kappa: 0.1548, kb_relative_information_score: -154.6195, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9089, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.9632, scimark_benchmark: 1220.5902, usercpu_time_millis: 50.117, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 50.105,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.8971, kb_relative_information_score: -4299.7077, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.9963, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1633, scimark_benchmark: 1220.3215, usercpu_time_millis: 4.531, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 4.5,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.9229, kappa: 0.3241, kb_relative_information_score: -177.7743, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9197, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8947,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9136, kappa: 0.222, kb_relative_information_score: -315.205, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.909, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9153,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9036, kappa: 0.1272, kb_relative_information_score: -148.6557, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8936, predictive_accuracy: 0.9225, prior_entropy: 0.3667, recall: 0.9225, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.9243, scimark_benchmark: 1249.2184, usercpu_time_millis: 50.548, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 49.996,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1261.6986, usercpu_time_millis: 43.327, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 42.872,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.8971, kb_relative_information_score: -765.9835, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.109, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.967, scimark_benchmark: 1249.6292, usercpu_time_millis: 20.32, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 20.09,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1274.3118, usercpu_time_millis: 21.275, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 21.141,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.9076, kappa: 0.1354, kb_relative_information_score: -165.6844, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9058, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.9546, scimark_benchmark: 1220.2268, usercpu_time_millis: 10.677, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 10.628,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.9068, kappa: 0.1211, kb_relative_information_score: -160.7972, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9083, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.9514, scimark_benchmark: 1266.3324, usercpu_time_millis: 39.869, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 39.855,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.9076, kappa: 0.1354, kb_relative_information_score: -167.4271, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9058, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.9549, scimark_benchmark: 1276.2143, usercpu_time_millis: 49.972, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 49.957,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.8971, kb_relative_information_score: -5556.7655, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 2.5774, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.3681, scimark_benchmark: 1276.396, usercpu_time_millis: 46.862, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 46.545,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9076, kappa: 0.146, kb_relative_information_score: -211.5703, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9026, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.9734, scimark_benchmark: 1217.0674, usercpu_time_millis: 60.845, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 60.828,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.903, kappa: 0.0796, kb_relative_information_score: -180.2767, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8997, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.959, scimark_benchmark: 1240.2206, usercpu_time_millis: 38.17, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 38.157,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.9038, kappa: 0.0954, kb_relative_information_score: -191.0339, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8984, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9611, scimark_benchmark: 1267.254, usercpu_time_millis: 48.822, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 48.805,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.9118, kappa: 0.177, kb_relative_information_score: -162.2266, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.9579, scimark_benchmark: 1262.3949, usercpu_time_millis: 7.02, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 7.001,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.9074, kappa: 0.1239, kb_relative_information_score: -351.6425, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9121, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.8987,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1216.1939, usercpu_time_millis: 58.311, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 57.972,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.9094, kappa: 0.1548, kb_relative_information_score: -161.5995, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9089, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.9593, scimark_benchmark: 1248.2898, usercpu_time_millis: 39.479, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 39.466,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.9123, kappa: 0.1892, kb_relative_information_score: -165.5362, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.912, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.9552, scimark_benchmark: 1233.0891, usercpu_time_millis: 28.947, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 28.932,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.8971, kb_relative_information_score: -4718.4075, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 2.1783, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3117, root_relative_squared_error: 1.2262, scimark_benchmark: 1217.6608, usercpu_time_millis: 58.433, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 58.029,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9087, kappa: 0.2516, kb_relative_information_score: -250.1103, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.904, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.9124, kappa: 0.1803, kb_relative_information_score: -256.2113, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9174, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8968,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8971, kb_relative_information_score: -768.5365, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0712, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.9513, scimark_benchmark: 1244.2955, usercpu_time_millis: 119.871, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 119.113,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1266.9614, usercpu_time_millis: 12.595, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 12.514,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.9082, kappa: 0.1488, kb_relative_information_score: -169.4288, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9044, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9591, scimark_benchmark: 1225.5356, usercpu_time_millis: 2.932, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.919,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.9177, kappa: 0.3151, kb_relative_information_score: 76.4803, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0099, scimark_benchmark: 1253.2958, usercpu_time_millis: 54.763, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 54.17,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.9033, kappa: 0.0929, kb_relative_information_score: -230.4115, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8961, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9743, scimark_benchmark: 1223.3717, usercpu_time_millis: 48.378, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 48.366,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8971, kb_relative_information_score: -6660.4891, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.2778, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.6857, scimark_benchmark: 1229.4465, usercpu_time_millis: 3.104, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 3.073,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: -172.9306, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.9697, scimark_benchmark: 1256.941, usercpu_time_millis: 60.574, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 60.559,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9035, kappa: 0.0821, kb_relative_information_score: -266.4626, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9236, scimark_benchmark: 1225.7398, usercpu_time_millis: 135.527, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 134.03,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1249.597, usercpu_time_millis: 29.123, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 28.934,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.9071, kappa: 0.1431, kb_relative_information_score: -202.1248, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9009, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9745, scimark_benchmark: 1257.8705, usercpu_time_millis: 31.544, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 31.531,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.8971, kb_relative_information_score: -2080.5495, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.3445, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2592, root_relative_squared_error: 1.0197, scimark_benchmark: 1275.3235, usercpu_time_millis: 88.041, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 87.51,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1270.9719, usercpu_time_millis: 55.865, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 55.467,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.8971, kb_relative_information_score: -2767.2931, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.5067, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2657, root_relative_squared_error: 1.0451, scimark_benchmark: 1223.1992, usercpu_time_millis: 18.34, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 18.239,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2704, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -5296.8304, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 2.5322, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.4227, scimark_benchmark: 1222.9227, usercpu_time_millis: 1.797, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.781,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: -7376.1153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 3.8494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5, root_relative_squared_error: 1.967, scimark_benchmark: 1234.0259, usercpu_time_millis: 35.868, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 35.631,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 35.642, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0005,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 18.3183, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -2.7219, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, kb_relative_information_score: -762.2549, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.1007, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9886,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: -538.0652, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0717, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.001,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.908, kappa: 0.1268, kb_relative_information_score: -192.9724, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9569,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -430.784, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0567, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0007,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: -650.57, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.088, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2546, root_relative_squared_error: 1.0015,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 76.7324, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2549, root_relative_squared_error: 1.0027,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, kb_relative_information_score: 143.3475, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0077,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.5178, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, kb_relative_information_score: -699.3585, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.9776,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 2.2226, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -506.6575, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0674, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0009,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, kb_relative_information_score: -476.0344, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9661,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 31.1948, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0005,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kb_relative_information_score: 24.3207, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, kb_relative_information_score: -433.6183, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.9819,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: -932.2, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.1315, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.255, root_relative_squared_error: 1.0033,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kb_relative_information_score: -509.9201, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.9726,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 66.7193, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2547, root_relative_squared_error: 1.0021,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 106.9338, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2555, root_relative_squared_error: 1.0052,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -302.0511, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 59.2646, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2546, root_relative_squared_error: 1.0016,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: 5.0693, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.8565, kappa: -0.0074, kb_relative_information_score: -495.846, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8698, predictive_accuracy: 0.844, prior_entropy: 0.3667, recall: 0.844, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.1668,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, kb_relative_information_score: -524.88, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.9647,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 8.2129, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 34.2253, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0005,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 13.921, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 12.7688, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,

Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 108.6942, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2556, root_relative_squared_error: 1.0055,

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	pc1 (1)
target_feature	defects

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)

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Supervised Classification on pc1

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