Run
10045056

Run 10045056

Task 3975 (Supervised Classification) AP_Endometrium_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
0.9843 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9692 ± 0.054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9382 ± 0.1086
Cross-validation details (10-fold Crossvalidation)
KB relative information score
121.3946 ± 1.0457
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0338 ± 0.0396
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4981 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9692 ± 0.0521
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9692 ± 0.0538
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9973
Cross-validation details (10-fold Crossvalidation)
Recall
0.9692 ± 0.0538
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0679 ± 0.0794
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1529 ± 0.1154
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3064 ± 0.2306
Cross-validation details (10-fold Crossvalidation)