Run
9892079

Run 9892079

Task 6 (Supervised Classification) letter Uploaded 07-12-2018 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
0.9967 ± 0.0008
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9542 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9523 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19212.9437 ± 5.0083
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0063 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9545 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9542 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9542 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0848 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0528 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2745 ± 0.0099
Cross-validation details (10-fold Crossvalidation)