Run
9864522

Run 9864522

Task 3918 (Supervised Classification) pc1 Uploaded 06-12-2018 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.19.1.
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(25)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(25)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(25)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(25)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(25)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(25)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(25)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(25)_p2
sklearn.neighbors.classification.KNeighborsClassifier(25)_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
0.637 ± 0.132
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9136 ± 0.0179
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.187 ± 0.1729
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-804.5498 ± 24.9454
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1142 ± 0.0161
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.925 ± 0.0394
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.936 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.936 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8789 ± 0.1122
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2602 ± 0.0271
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0236 ± 0.0987
Cross-validation details (10-fold Crossvalidation)