Run
305488

Run 305488

Task 90 (Learning Curve) credit-g Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.KernelLogisticRegression_RBFKernel(1)Weka implementation of KernelLogisticRegression
weka.KernelLogisticRegression_RBFKernel(1)_S1
weka.KernelLogisticRegression_RBFKernel(1)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.KernelLogisticRegression_RBFKernel(1)_L0.01
weka.KernelLogisticRegression_RBFKernel(1)_P1
weka.KernelLogisticRegression_RBFKernel(1)_E1
weka.RBFKernel(3)_G0.01
weka.RBFKernel(3)_C250007

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
0.7785 ± 0.0501
Per class
F measure
0.7537 ± 0.0406
Per class
Kappa
0.4006 ± 0.0997
KB relative information score
0.2931 ± 0.0722
Mean absolute error
0.2884 ± 0.0255
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7512 ± 0.0429
Per class
Predictive accuracy
0.7608 ± 0.0394
Prior entropy
0.8813
Recall
0.7608 ± 0.0394
Per class
Relative absolute error
0.6863 ± 0.0606
Root mean prior squared error
0.4583
Root mean squared error
0.4146 ± 0.0291
Root relative squared error
0.9047 ± 0.0635
SciMark benchmark
1337.9038
UserCPU time millis
17520
UserCPU time millis testing
380
UserCPU time millis training
17140