Run
10045046

Run 10045046

Task 3970 (Supervised Classification) AP_Lung_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
0.9557 ± 0.0305
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8997 ± 0.0439
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8002 ± 0.0861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
190.2865 ± 1.5432
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1232 ± 0.0302
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9059 ± 0.0383
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9 ± 0.0432
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.9 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2464 ± 0.0604
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2789 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5577 ± 0.0884
Cross-validation details (10-fold Crossvalidation)