OpenML
575809

Run 575809

Task 15 (Supervised Classification) breast-w Uploaded 01-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_SMO_RBFKernel(1)Weka implementation of AttributeSelectedClassifier
weka.RBFKernel(4)_G0.01
weka.RBFKernel(4)_C250007
weka.AttributeSelectedClassifier_SMO_RBFKernel(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_RBFKernel(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_RBFKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_RBFKernel(6)_C1.0
weka.SMO_RBFKernel(6)_N0
weka.SMO_RBFKernel(6)_L0.001
weka.SMO_RBFKernel(6)_P1.0E-12
weka.SMO_RBFKernel(6)_V-1
weka.SMO_RBFKernel(6)_W1
weka.SMO_RBFKernel(6)_Kweka.classifiers.functions.supportVector.RBFKernel

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.

22 Evaluation measures

Area under ROC curve
0.9527
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9598
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9108
Cross-validation details (10-fold Crossvalidation)
KB relative information score
634.0831
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9599
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0886
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4211
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1501.0562
UserCPU time millis
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (10-fold Crossvalidation)