Run
505065

Run 505065

Task 10056 (Learning Curve) kdd_internet_usage Uploaded 07-01-2016 by Joaquin Vanschoren
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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
0.9367 ± 0.0074
Per class
F measure
0.8831 ± 0.0096
Per class
Kappa
0.7005 ± 0.0256
KB relative information score
6111.0347 ± 20.8335
Mean absolute error
0.1507 ± 0.0066
Mean prior absolute error
0.3929 ± 0.0002
Number of instances
10108
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.8826 ± 0.0096
Per class
Predictive accuracy
0.884 ± 0.0092
Prior entropy
0.8395
Recall
0.884 ± 0.0092
Per class
Relative absolute error
0.3834 ± 0.0169
Root mean prior squared error
0.4432 ± 0.0002
Root mean squared error
0.29 ± 0.012
Root relative squared error
0.6542 ± 0.027
SciMark benchmark
841.4315
UserCPU time millis
36282440
UserCPU time millis testing
117970
UserCPU time millis training
36164470