Run
1839520

Run 1839520

Task 10074 (Learning Curve) OVA_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
0.8677 ± 0.0466
Per class
F measure
0.8193 ± 0.0472
Per class
Kappa
0.4975 ± 0.0904
KB relative information score
176.6869 ± 36.2421
Mean absolute error
0.2041 ± 0.0549
Mean prior absolute error
0.2802 ± 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
0.899 ± 0.0206
Per class
Predictive accuracy
0.7955 ± 0.0554
Prior entropy
0.6548
Recall
0.7955 ± 0.0554
Per class
Relative absolute error
0.7283 ± 0.1943
Root mean prior squared error
0.3741 ± 0.0025
Root mean squared error
0.4512 ± 0.057
Root relative squared error
1.206 ± 0.1491
SciMark benchmark
1582.6686