Run
191011

Run 191011

Task 4515 (Supervised Classification) arsenic-male-bladder Uploaded 26-02-2015 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_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
0.8833
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9757
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6692
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
150.7541
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0391
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9784
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9787
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9787
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4672
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1446
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7133
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
926.6704
UserCPU time millis
3480
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
210
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
3270
Cross-validation details (10 times 10-fold Crossvalidation)