Run
8883105

Run 8883105

Task 167132 (Supervised Classification) Speech Uploaded 11-03-2018 by Michiel Verburg
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_neighbors4
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_components150
sklearn.decomposition.pca.PCA(2)_random_state1785
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": [50, 100, 140, 145, 150, 155, 160, 200, 250, 300]}
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
0.8191 ± 0.1238
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9772 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0923 ± 0.1364
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14418.4191 ± 540.2741
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0413 ± 0.0083
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
0.9845 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9843 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9843 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2596 ± 0.2475
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
0.1281 ± 0.007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0042 ± 0.0597
Cross-validation details (10-fold Crossvalidation)