Run
1664755

Run 1664755

Task 3992 (Supervised Classification) AP_Breast_Kidney Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.KernelLogisticRegression_RBFKernel(3)Weka implementation of KernelLogisticRegression
weka.RBFKernel(4)_G0.01
weka.RBFKernel(4)_C250007
weka.KernelLogisticRegression_RBFKernel(3)_S1
weka.KernelLogisticRegression_RBFKernel(3)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.KernelLogisticRegression_RBFKernel(3)_L0.01
weka.KernelLogisticRegression_RBFKernel(3)_P1
weka.KernelLogisticRegression_RBFKernel(3)_E1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.4965
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4133
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12.8481
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4816
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
604
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3244
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5695
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9861
Cross-validation details (10-fold Crossvalidation)
Recall
0.5695
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9822
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.008
Cross-validation details (10-fold Crossvalidation)