Run
9918438

Run 9918438

Task 54 (Supervised Classification) hepatitis Uploaded 19-12-2018 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.preprocessing.imputation.Imputer, estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(32)_axis0
sklearn.preprocessing.imputation.Imputer(32)_copytrue
sklearn.preprocessing.imputation.Imputer(32)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(32)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(32)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull
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"

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

Area under ROC curve
0.6103 ± 0.1023
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6922 ± 0.045
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0355 ± 0.0961
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-6.9261 ± 2.7817
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3019 ± 0.0472
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.652 ± 0.0653
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7548 ± 0.0465
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.7548 ± 0.0465
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9154 ± 0.1366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4195 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0364 ± 0.0722
Cross-validation details (10-fold Crossvalidation)