OpenML
323422

Run 323422

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 26-03-2015 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_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
0.8103
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8086
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3333
Cross-validation details (10-fold Crossvalidation)
KB relative information score
32.1856
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2062
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3135
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8087
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8308
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.8308
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6576
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3376
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8567
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1347.993
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)