Run
503114

Run 503114

Task 10054 (Learning Curve) jm1 Uploaded 23-12-2015 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
0.7124 ± 0.0256
Per class
F measure
0.7586 ± 0.0085
Per class
Kappa
0.1381 ± 0.0318
KB relative information score
572.3787 ± 16.1679
Mean absolute error
0.2788 ± 0.0032
Mean prior absolute error
0.3121 ± 0.0003
Number of instances
10885
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.7766 ± 0.013
Per class
Predictive accuracy
0.8131 ± 0.0046
Prior entropy
0.7088
Recall
0.8131 ± 0.0046
Per class
Relative absolute error
0.8933 ± 0.0105
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.3742 ± 0.0047
Root relative squared error
0.9472 ± 0.0122
SciMark benchmark
841.4315
UserCPU time millis
176850
UserCPU time millis testing
13000
UserCPU time millis training
163850