Run
10045021

Run 10045021

Task 4662 (Supervised Classification) AP_Endometrium_Breast 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
0.972 ± 0.0372
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9567 ± 0.0294
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8283 ± 0.118
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2700.0501 ± 5.5468
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0664 ± 0.0245
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2571 ± 0.0048
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4050
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.9564 ± 0.0282
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9573 ± 0.0287
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6157
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9573 ± 0.0287
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2584 ± 0.0955
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3577 ± 0.0066
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1844 ± 0.0496
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5156 ± 0.1398
Cross-validation details (10 times 10-fold Crossvalidation)