Run
1839530

Run 1839530

Task 125870 (Learning Curve) AP_Colon_Kidney 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
0.9882 ± 0.0189
Per class
F measure
0.9835 ± 0.0181
Per class
Kappa
0.967 ± 0.0362
KB relative information score
526.1444 ± 1.6643
Mean absolute error
0.0185 ± 0.0169
Mean prior absolute error
0.4989 ± 0.0004
Number of instances
546
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.9835 ± 0.0179
Per class
Predictive accuracy
0.9835 ± 0.0181
Prior entropy
0.9984
Recall
0.9835 ± 0.0181
Per class
Relative absolute error
0.0371 ± 0.034
Root mean prior squared error
0.4994 ± 0.0004
Root mean squared error
0.129 ± 0.077
Root relative squared error
0.2583 ± 0.1543
SciMark benchmark
1446.7225