Run
378770

Run 378770

Task 3742 (Supervised Classification) fri_c4_100_10 Uploaded 30-03-2015 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
0.7156
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6978
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3934
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29.216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3639
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7007
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4767
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9552
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.6704