Run
504525

Run 504525

Task 10042 (Learning Curve) ada_prior Uploaded 02-01-2016 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
0.8882 ± 0.0177
Per class
F measure
0.8365 ± 0.0198
Per class
Kappa
0.55 ± 0.054
KB relative information score
1854.0239 ± 16.9758
Mean absolute error
0.2117 ± 0.011
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8351 ± 0.0205
Per class
Predictive accuracy
0.8417 ± 0.0194
Prior entropy
0.8085
Recall
0.8417 ± 0.0194
Per class
Relative absolute error
0.5673 ± 0.0294
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3319 ± 0.0124
Root relative squared error
0.7684 ± 0.0286
SciMark benchmark
903.7858
UserCPU time millis
372220
UserCPU time millis testing
9990
UserCPU time millis training
362230