Run
503108

Run 503108

Task 1742 (Learning Curve) spambase 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
0.9716 ± 0.0081
Per class
F measure
0.9283 ± 0.0129
Per class
Kappa
0.8493 ± 0.0273
KB relative information score
3512.1251 ± 7.8609
Mean absolute error
0.121 ± 0.0074
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9284 ± 0.0131
Per class
Predictive accuracy
0.9285 ± 0.0129
Prior entropy
0.9674
Recall
0.9285 ± 0.0129
Per class
Relative absolute error
0.2533 ± 0.0156
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2426 ± 0.0155
Root relative squared error
0.4964 ± 0.0318
SciMark benchmark
1676.5109
UserCPU time millis
176730
UserCPU time millis testing
2570
UserCPU time millis training
174160