Run
1801315

Run 1801315

Task 3972 (Supervised Classification) OVA_Uterus Uploaded 26-07-2016 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
0.4924
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8813
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
307.2141
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.095
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1481
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9197
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.405
Cross-validation details (10-fold Crossvalidation)
Recall
0.9197
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6417
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2717
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2788
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0262
Cross-validation details (10-fold Crossvalidation)