Run
503097

Run 503097

Task 1728 (Learning Curve) credit-approval Uploaded 22-12-2015 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.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9165 ± 0.0374
Per class
F measure
0.8582 ± 0.0354
Per class
Kappa
0.7136 ± 0.0714
KB relative information score
432.9702 ± 4.3094
Mean absolute error
0.1929 ± 0.0296
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.859 ± 0.0346
Per class
Predictive accuracy
0.858 ± 0.0354
Prior entropy
0.9913
Recall
0.858 ± 0.0354
Per class
Relative absolute error
0.3904 ± 0.06
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3268 ± 0.0441
Root relative squared error
0.6576 ± 0.0889
SciMark benchmark
1676.5109
UserCPU time millis
920
UserCPU time millis testing
50
UserCPU time millis training
870