Run
506049

Run 506049

Task 10057 (Learning Curve) kdd_ipums_la_97-small Uploaded 15-01-2016 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
0.981 ± 0.0048
Per class
F measure
0.951 ± 0.008
Per class
Kappa
0.8952 ± 0.017
KB relative information score
6232.2845 ± 10.9446
Mean absolute error
0.0513 ± 0.0069
Mean prior absolute error
0.466 ± 0.0002
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9514 ± 0.0079
Per class
Predictive accuracy
0.9508 ± 0.008
Prior entropy
0.9504
Recall
0.9508 ± 0.008
Per class
Relative absolute error
0.1101 ± 0.0148
Root mean prior squared error
0.4827 ± 0.0002
Root mean squared error
0.2115 ± 0.0174
Root relative squared error
0.4382 ± 0.0361
SciMark benchmark
903.7858
UserCPU time millis
68442180
UserCPU time millis testing
117390
UserCPU time millis training
68324790