Run
264548

Run 264548

Task 4255 (Supervised Classification) analcatdata_asbestos Uploaded 05-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.7641
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.769
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5314
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
441.4202
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2301
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4943
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
830
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
0.7693
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7699
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9919
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7699
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4656
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4971
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4797
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9651
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1346.3935