Run
503098

Run 503098

Task 1730 (Learning Curve) credit-g 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
0.7762 ± 0.0369
Per class
F measure
0.7411 ± 0.0328
Per class
Kappa
0.3693 ± 0.0817
KB relative information score
236.6951 ± 4.1779
Mean absolute error
0.3134 ± 0.014
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7381 ± 0.0353
Per class
Predictive accuracy
0.749 ± 0.0325
Prior entropy
0.8818
Recall
0.749 ± 0.0325
Per class
Relative absolute error
0.746 ± 0.0333
Root mean prior squared error
0.4583
Root mean squared error
0.4126 ± 0.0165
Root relative squared error
0.9004 ± 0.036
SciMark benchmark
1676.5109
UserCPU time millis
2440
UserCPU time millis testing
150
UserCPU time millis training
2290