Run
1839515

Run 1839515

Task 10046 (Learning Curve) AP_Breast_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
0.9627 ± 0.0201
Per class
F measure
0.962 ± 0.0221
Per class
Kappa
0.9226 ± 0.0447
KB relative information score
556.6381 ± 2.9148
Mean absolute error
0.0381 ± 0.0222
Mean prior absolute error
0.4904 ± 0.001
Number of instances
604
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.9623 ± 0.0213
Per class
Predictive accuracy
0.9619 ± 0.0222
Prior entropy
0.9861
Recall
0.9619 ± 0.0222
Per class
Relative absolute error
0.0777 ± 0.0453
Root mean prior squared error
0.4951 ± 0.001
Root mean squared error
0.1951 ± 0.0783
Root relative squared error
0.3941 ± 0.1581
SciMark benchmark
1648.19