Run
371886

Run 371886

Task 2979 (Supervised Classification) meta_instanceincremental.arff Uploaded 29-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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
0.9282
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8751
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.71
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
483.8977
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.067
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2277
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.8776
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.877
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.3146
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.877
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2945
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3317
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2328
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7018
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1313.8988
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)