Run
10154731

Run 10154731

Task 9 (Supervised Classification) autos Uploaded 08-02-2019 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sc ripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklear n.neighbors.classification.KNeighborsClassifier,outlierCLF=sklearn.ensemble .iforest.IsolationForest))(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(32)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(32)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(32)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(32)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(32)_n_jobsnull
sklearn.neighbors.classification.KNeighborsClassifier(32)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(32)_p2
sklearn.neighbors.classification.KNeighborsClassifier(32)_weights"uniform"
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.ensemble.iforest.IsolationForest(1)_behaviour"new"
sklearn.ensemble.iforest.IsolationForest(1)_bootstrapfalse
sklearn.ensemble.iforest.IsolationForest(1)_contamination"auto"
sklearn.ensemble.iforest.IsolationForest(1)_max_features1.0
sklearn.ensemble.iforest.IsolationForest(1)_max_samples"auto"
sklearn.ensemble.iforest.IsolationForest(1)_n_estimators100
sklearn.ensemble.iforest.IsolationForest(1)_n_jobsnull
sklearn.ensemble.iforest.IsolationForest(1)_random_state49792
sklearn.ensemble.iforest.IsolationForest(1)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.neighbors.classification.KNeighborsClassifier,outlierCLF=sklearn.ensemble.iforest.IsolationForest))(1)_memorynull

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.

17 Evaluation measures

0.5691 ± 0.0847
Per class
Cross-validation details (10-fold Crossvalidation)
0.3346 ± 0.1214
Per class
Cross-validation details (10-fold Crossvalidation)
0.1358 ± 0.1613
Cross-validation details (10-fold Crossvalidation)
40.5655 ± 2.8557
Cross-validation details (10-fold Crossvalidation)
0.1854 ± 0.0381
Cross-validation details (10-fold Crossvalidation)
0.2209 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
205
Per class
Cross-validation details (10-fold Crossvalidation)
0.3361 ± 0.1184
Per class
Cross-validation details (10-fold Crossvalidation)
0.3512 ± 0.1333
Cross-validation details (10-fold Crossvalidation)
2.3268
Cross-validation details (10-fold Crossvalidation)
0.3512 ± 0.1333
Per class
Cross-validation details (10-fold Crossvalidation)
0.8391 ± 0.171
Cross-validation details (10-fold Crossvalidation)
0.3318 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
0.4305 ± 0.0433
Cross-validation details (10-fold Crossvalidation)
1.2978 ± 0.1286
Cross-validation details (10-fold Crossvalidation)