Run
8885151

Run 8885151

Task 167132 (Supervised Classification) Speech Uploaded 13-03-2018 by Michiel Verburg
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Flow

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pip eline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduc tion=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classificat ion.KNeighborsClassifier))(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_componentsnull
sklearn.decomposition.pca.PCA(2)_random_state59449
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_cv5
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_error_score"raise"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_fit_paramsnull
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_iidtrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_n_jobs1
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_param_grid{"classifier__n_neighbors": [1, 2, 3, 4, 5, 6, 8, 9, 10], "dimension_reduction__n_components": [4, 6, 8, 140, 145, 150, 155, 160]}
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_pre_dispatch"2*n_jobs"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_refittrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_return_train_score"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_scoring"roc_auc"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.8202 ± 0.1082
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9789 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1904 ± 0.1861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14080.1169 ± 431.1456
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0424 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9795 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9843 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9843 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2914 ± 0.1542
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1307 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0248 ± 0.0774
Cross-validation details (10-fold Crossvalidation)