Run
1839517

Run 1839517

Task 10067 (Learning Curve) MagicTelescope 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
0.839 ± 0.0127
Per class
F measure
0.7838 ± 0.0095
Per class
Kappa
0.5169 ± 0.0216
KB relative information score
7124.3999 ± 29.0531
Mean absolute error
0.2947 ± 0.0062
Mean prior absolute error
0.456 ± 0.0001
Number of instances
19020
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.7876 ± 0.0098
Per class
Predictive accuracy
0.7909 ± 0.0089
Prior entropy
0.9355
Recall
0.7909 ± 0.0089
Per class
Relative absolute error
0.6463 ± 0.0136
Root mean prior squared error
0.4775 ± 0.0001
Root mean squared error
0.3839 ± 0.0074
Root relative squared error
0.8041 ± 0.0155
SciMark benchmark
1560.4734