OpenML
99435

Run 99435

Task 2274 (Supervised Classification) meta_ensembles.arff 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.NaiveBayes(2)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.6787
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0011
Cross-validation details (10-fold Crossvalidation)
Build memory
1043138051.7838
Cross-validation details (10-fold Crossvalidation)
F measure
0.5337
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17.1536
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.241
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2904
Cross-validation details (10-fold Crossvalidation)
Number of instances
74
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
0.5715
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5135
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10-fold Crossvalidation)
Recall
0.5135
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8301
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3782
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.481
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.272
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.5639