Run
503137

Run 503137

Task 10083 (Learning Curve) pc4 Uploaded 24-12-2015 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
0.9153 ± 0.0266
Per class
F measure
0.9058 ± 0.0205
Per class
Kappa
0.5255 ± 0.1033
KB relative information score
376.1418 ± 12.6513
Mean absolute error
0.1257 ± 0.0115
Mean prior absolute error
0.2148 ± 0.0021
Number of instances
1458
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.9056 ± 0.0234
Per class
Predictive accuracy
0.9143 ± 0.0182
Prior entropy
0.5368
Recall
0.9143 ± 0.0182
Per class
Relative absolute error
0.5852 ± 0.0538
Root mean prior squared error
0.3274 ± 0.0032
Root mean squared error
0.2566 ± 0.0218
Root relative squared error
0.7838 ± 0.0648
SciMark benchmark
1154.5084
UserCPU time millis
8880
UserCPU time millis testing
200
UserCPU time millis training
8680