Run
504558

Run 504558

Task 10051 (Learning Curve) gina_prior Uploaded 03-01-2016 by Joaquin Vanschoren
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Flow

weka.KernelLogisticRegression_PolyKernel(4)Weka implementation of KernelLogisticRegression
weka.PolyKernel(9)_E1.0
weka.PolyKernel(9)_C250007
weka.KernelLogisticRegression_PolyKernel(4)_S1
weka.KernelLogisticRegression_PolyKernel(4)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.KernelLogisticRegression_PolyKernel(4)_L0.01
weka.KernelLogisticRegression_PolyKernel(4)_P1
weka.KernelLogisticRegression_PolyKernel(4)_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.

22 Evaluation measures

Area under ROC curve
0.8932 ± 0.0217
Per class
F measure
0.827 ± 0.0194
Per class
Kappa
0.6538 ± 0.0389
KB relative information score
2199.3898 ± 13.3578
Mean absolute error
0.1851 ± 0.0187
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.827 ± 0.0192
Per class
Predictive accuracy
0.827 ± 0.0193
Prior entropy
0.9998
Recall
0.827 ± 0.0193
Per class
Relative absolute error
0.3704 ± 0.0374
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3806 ± 0.0256
Root relative squared error
0.7612 ± 0.0513
SciMark benchmark
914.23
UserCPU time millis
1034160
UserCPU time millis testing
27400
UserCPU time millis training
1006760