Run
1839523

Run 1839523

Task 10077 (Learning Curve) OVA_Ovary 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
0.7361 ± 0.0499
Per class
F measure
0.671 ± 0.0396
Per class
Kappa
0.1945 ± 0.0597
KB relative information score
-1940.0233 ± 41.0278
Mean absolute error
0.393 ± 0.0457
Mean prior absolute error
0.2238 ± 0.0019
Number of instances
1545
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.8692 ± 0.0181
Per class
Predictive accuracy
0.6071 ± 0.0464
Prior entropy
0.5537
Recall
0.6071 ± 0.0464
Per class
Relative absolute error
1.7557 ± 0.2077
Root mean prior squared error
0.3343 ± 0.0028
Root mean squared error
0.6228 ± 0.0381
Root relative squared error
1.8632 ± 0.1185
SciMark benchmark
1614.1042