Run
459777

Run 459777

Task 3576 (Supervised Classification) sleuth_ex2015 Uploaded 03-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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
0.7311
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4667
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.1495
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3509
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.7344
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7019
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4693
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9386
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
974.2014