Run
503109

Run 503109

Task 10049 (Learning Curve) delta_ailerons 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
0.9721 ± 0.0061
Per class
F measure
0.9381 ± 0.0084
Per class
Kappa
0.8756 ± 0.0168
KB relative information score
5733.4152 ± 11.6551
Mean absolute error
0.1074 ± 0.0081
Mean prior absolute error
0.4981 ± 0
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9383 ± 0.0085
Per class
Predictive accuracy
0.9381 ± 0.0084
Prior entropy
0.9973
Recall
0.9381 ± 0.0084
Per class
Relative absolute error
0.2155 ± 0.0162
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.2293 ± 0.0144
Root relative squared error
0.4595 ± 0.0289
SciMark benchmark
1468.374
UserCPU time millis
55140
UserCPU time millis testing
1060
UserCPU time millis training
54080