Run
503151

Run 503151

Task 10087 (Learning Curve) sylva_prior Uploaded 26-12-2015 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
0.9992 ± 0.0005
Per class
F measure
0.995 ± 0.0015
Per class
Kappa
0.9572 ± 0.0131
KB relative information score
13250.0841 ± 39.2905
Mean absolute error
0.0073 ± 0.0013
Mean prior absolute error
0.1156 ± 0.0003
Number of instances
14395
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.9951 ± 0.0014
Per class
Predictive accuracy
0.995 ± 0.0016
Prior entropy
0.3338
Recall
0.995 ± 0.0016
Per class
Relative absolute error
0.0629 ± 0.0117
Root mean prior squared error
0.2403 ± 0.0006
Root mean squared error
0.0632 ± 0.0092
Root relative squared error
0.2629 ± 0.0387
SciMark benchmark
1080.209
UserCPU time millis
3691120
UserCPU time millis testing
82120
UserCPU time millis training
3609000