Run
10045037

Run 10045037

Task 4670 (Supervised Classification) AP_Prostate_Uterus Uploaded 22-01-2019 by KANKAN LAN
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(33)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(33)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(33)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(33)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(33)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(33)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(33)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(33)_p2
sklearn.neighbors.classification.KNeighborsClassifier(33)_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
0.9839 ± 0.0338
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9812 ± 0.0288
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9589 ± 0.0636
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1813.8331 ± 1.1685
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0281 ± 0.0263
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4598 ± 0.0046
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1930
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.9818 ± 0.0253
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9813 ± 0.028
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9418
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9813 ± 0.028
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0611 ± 0.0573
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4793 ± 0.0048
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1339 ± 0.0885
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2794 ± 0.1847
Cross-validation details (10 times 10-fold Crossvalidation)