Run
503122

Run 503122

Task 10060 (Learning Curve) JapaneseVowels Uploaded 24-12-2015 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
0.992 ± 0.002
Per class
F measure
0.964 ± 0.007
Per class
Kappa
0.8665 ± 0.0262
KB relative information score
7911.0333 ± 22.6515
Mean absolute error
0.05 ± 0.005
Mean prior absolute error
0.2716 ± 0.0003
Number of instances
9961
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.9638 ± 0.0071
Per class
Predictive accuracy
0.9643 ± 0.0069
Prior entropy
0.6393
Recall
0.9643 ± 0.0069
Per class
Relative absolute error
0.184 ± 0.0184
Root mean prior squared error
0.3685 ± 0.0005
Root mean squared error
0.1599 ± 0.0122
Root relative squared error
0.4341 ± 0.033
SciMark benchmark
1204.6541
UserCPU time millis
162140
UserCPU time millis testing
4640
UserCPU time millis training
157500