Run
289758

Run 289758

Task 4563 (Supervised Classification) mfeat-zernike Uploaded 16-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.KernelLogisticRegression_PolyKernel(3)Weka implementation of KernelLogisticRegression
weka.PolyKernel(8)_E1.0
weka.PolyKernel(8)_C250007
weka.KernelLogisticRegression_PolyKernel(3)_S1
weka.KernelLogisticRegression_PolyKernel(3)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.KernelLogisticRegression_PolyKernel(3)_L0.01
weka.KernelLogisticRegression_PolyKernel(3)_P1
weka.KernelLogisticRegression_PolyKernel(3)_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
0.9953
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9898
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9434
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
18328.6337
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0108
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9898
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9898
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9898
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0598
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0897
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2989
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1352.2099
UserCPU time millis
28860
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
540
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
28320
Cross-validation details (10 times 10-fold Crossvalidation)