Run
9918484

Run 9918484

Task 55 (Supervised Classification) vote Uploaded 21-12-2018 by Hugo Spee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.neighbors.classification.KNeighborsClassifier)(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.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier)(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

Area under ROC curve
0.9715 ± 0.0263
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9358 ± 0.0412
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8651 ± 0.0859
Cross-validation details (10-fold Crossvalidation)
KB relative information score
360.423 ± 3.6099
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0823 ± 0.0388
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9364 ± 0.0384
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9356 ± 0.0416
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.9356 ± 0.0416
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1735 ± 0.0819
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2247 ± 0.0667
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4615 ± 0.1375
Cross-validation details (10-fold Crossvalidation)
Total cost