Run
104483

Run 104483

Task 1787 (Supervised Classification) cmc Uploaded 08-12-2014 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(2)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(2)_F1
weka.A1DE(2)_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.

21 Evaluation measures

Area under ROC curve
0.6954
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0019
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
134319371.5802
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.5106
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.2497
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1620.8764
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.368
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
7365
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5243
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.5054
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.5054
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.8542
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4401
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9482
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
943.7068