Run
503099

Run 503099

Task 1736 (Learning Curve) diabetes 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
0.8308 ± 0.0426
Per class
F measure
0.7677 ± 0.0521
Per class
Kappa
0.4795 ± 0.1174
KB relative information score
255.7449 ± 3.9181
Mean absolute error
0.3098 ± 0.0196
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7696 ± 0.0529
Per class
Predictive accuracy
0.7747 ± 0.0487
Prior entropy
0.9335
Recall
0.7747 ± 0.0487
Per class
Relative absolute error
0.6816 ± 0.0422
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.3959 ± 0.0279
Root relative squared error
0.8306 ± 0.0576
SciMark benchmark
1676.5109
UserCPU time millis
310
UserCPU time millis testing
10
UserCPU time millis training
300