OpenML
466762

Run 466762

Task 4454 (Supervised Classification) no2 Uploaded 21-07-2015 by Joaquin Vanschoren
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weka.KernelLogisticRegression_RBFKernel(1)Weka implementation of KernelLogisticRegression
weka.KernelLogisticRegression_RBFKernel(1)_S1
weka.KernelLogisticRegression_RBFKernel(1)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.KernelLogisticRegression_RBFKernel(1)_L0.01
weka.KernelLogisticRegression_RBFKernel(1)_P1
weka.KernelLogisticRegression_RBFKernel(1)_E1
weka.RBFKernel(3)_G0.01
weka.RBFKernel(3)_C250007

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
0.6383
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5969
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1939
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
437.1744
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.463
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5971
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.597
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.597
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.926
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4858
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9716
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.191
UserCPU time millis
8430
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
8390
Cross-validation details (10 times 10-fold Crossvalidation)