OpenML

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 577.6692, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3212, recall: 0.9984, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.221,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8547, kappa: 0.8061, kb_relative_information_score: 651.9254, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8549, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5234,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.7475, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0048,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7676, kappa: 0.4782, kb_relative_information_score: 254.4763, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7714, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 577.6692, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3212, recall: 0.9984, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.221,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7461, kappa: 0.3743, kb_relative_information_score: 216.8116, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7476, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.883,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 577.6692, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3212, recall: 0.9984, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.221,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 577.6692, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3212, recall: 0.9984, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.221,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8633, kappa: 0.8171, kb_relative_information_score: 650.1358, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8638, predictive_accuracy: 0.8629, prior_entropy: 1.9991, recall: 0.8629, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.5195,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7638, kappa: 0.4692, kb_relative_information_score: 244.4881, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 625.2071, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3364,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.9772, kb_relative_information_score: 1637.4539, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.2099, recall: 0.9896, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2053,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9254, kappa: 0.8613, kb_relative_information_score: 492.1379, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9401, predictive_accuracy: 0.9184, prior_entropy: 1.3212, recall: 0.9184, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4521,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set iris

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.2849, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2495,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7516, kappa: 0.725, kb_relative_information_score: 1505.5143, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7534, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5983,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 929.8977, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.134,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9896, kappa: 0.977, kb_relative_information_score: 921.7681, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1644,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 929.4518, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.141,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 927.9852, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1407,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 928.4029, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.1441,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 912.8902, mean_absolute_error: 0.0221, 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: 0.0488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2532,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 933.095, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1283,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9937, kappa: 0.9862, kb_relative_information_score: 930.9589, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1369,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 929.0312, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1401,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 930.6652, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.1335,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 929.8869, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.1315,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 928.7687, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.14,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 928.7425, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.1413,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 929.0427, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.141,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 930.3573, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.135,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 928.8274, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1403,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 929.7502, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1359,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9937, kappa: 0.9862, kb_relative_information_score: 931.261, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.1315,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 930.0017, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1358,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 930.6185, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.1379,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 931.2047, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.132,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 928.4743, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1428,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9862, kb_relative_information_score: 929.9332, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.139,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 930.7906, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1357,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 930.9724, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.132,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 929.1052, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1401,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 930.9627, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1342,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 900.7119, mean_absolute_error: 0.0301, 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: 0.0665, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2597,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9867, kappa: 0.9708, kb_relative_information_score: 1624.9611, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 1.2099, recall: 0.9867, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.2168,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8621, kappa: 0.8155, kb_relative_information_score: 649.027, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8624, predictive_accuracy: 0.8617, prior_entropy: 1.9991, recall: 0.8617, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5216,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9972, kb_relative_information_score: 577.6692, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.3212, recall: 0.9984, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.221,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.75, kappa: 0.7239, kb_relative_information_score: 1506.1297, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7519, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5965,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set rabe_266

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 104.0383, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3073,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 948.9318, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0492,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9925, kappa: 0.9835, kb_relative_information_score: 1647.5987, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.2099, recall: 0.9925, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1815,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 899.9943, mean_absolute_error: 0.0306, 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: 0.0676, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2613,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 949.4102, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0504,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9919, kappa: 0.9823, kb_relative_information_score: 1636.2637, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 1.2099, recall: 0.9919, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2038,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 949.2808, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0506,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set iris

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.4144, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.248,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9908, kappa: 0.9798, kb_relative_information_score: 1637.8924, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 1.2099, recall: 0.9907, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.069, root_relative_squared_error: 0.204,

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(dual ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

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