Run
10045019

Run 10045019

Task 4661 (Supervised Classification) AP_Breast_Prostate 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
0.9777 ± 0.0343
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9919 ± 0.0124
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9707 ± 0.0462
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3859.3105 ± 2.5139
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0141 ± 0.0126
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2794 ± 0.0048
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4130
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.9921 ± 0.0116
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.992 ± 0.0119
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6547
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.992 ± 0.0119
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0504 ± 0.045
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.373 ± 0.0065
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0967 ± 0.0631
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2592 ± 0.1696
Cross-validation details (10 times 10-fold Crossvalidation)