Run
503147

Run 503147

Task 10059 (Learning Curve) ipums_la_99-small Uploaded 26-12-2015 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
0.8853 ± 0.0189
Per class
F measure
0.9182 ± 0.0075
Per class
Kappa
0.206 ± 0.0815
KB relative information score
-2775.2917 ± 64.6276
Mean absolute error
0.0943 ± 0.004
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.9128 ± 0.0117
Per class
Predictive accuracy
0.9335 ± 0.0056
Prior entropy
0.3444
Recall
0.9335 ± 0.0056
Per class
Relative absolute error
0.7842 ± 0.0327
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.227 ± 0.0065
Root relative squared error
0.9258 ± 0.0263
SciMark benchmark
1024.7385
UserCPU time millis
6676260
UserCPU time millis testing
48940
UserCPU time millis training
6627320