Run
305438

Run 305438

Task 88 (Learning Curve) credit-approval 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
0.9173 ± 0.0296
Per class
F measure
0.8574 ± 0.0374
Per class
Kappa
0.7114 ± 0.0755
KB relative information score
0.6245 ± 0.0568
Mean absolute error
0.1951 ± 0.0266
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8575 ± 0.0372
Per class
Predictive accuracy
0.8572 ± 0.0371
Prior entropy
0.9912 ± 0.0021
Recall
0.8572 ± 0.0371
Per class
Relative absolute error
0.3949 ± 0.0539
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3302 ± 0.0361
Root relative squared error
0.6644 ± 0.0728
SciMark benchmark
1335.4611
UserCPU time millis
26140
UserCPU time millis testing
140
UserCPU time millis training
26000