Run
1839527

Run 1839527

Task 10070 (Learning Curve) musk Uploaded 15-11-2016 by Jan van Rijn
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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.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
1
Per class
F measure
1
Per class
Kappa
1
KB relative information score
6594.0988 ± 1.9461
Mean absolute error
0.0001 ± 0.0001
Mean prior absolute error
0.2608 ± 0.0005
Number of instances
6598
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
1
Per class
Predictive accuracy
1
Prior entropy
0.6204
Recall
1
Per class
Relative absolute error
0.0002 ± 0.0003
Root mean prior squared error
0.3611 ± 0.0007
Root mean squared error
0.0024 ± 0.0023
Root relative squared error
0.0067 ± 0.0064
SciMark benchmark
1527.1533