Run
98895

Run 98895

Task 278 (Supervised Classification) heart-c 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
0.9359
Per class
Cross-validation details (33% Holdout set)
Build memory
137298752
Cross-validation details (33% Holdout set)
F measure
0.8687
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7373
Cross-validation details (33% Holdout set)
KB relative information score
64.9728
Cross-validation details (33% Holdout set)
Mean absolute error
0.0646
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2021
Cross-validation details (33% Holdout set)
Number of instances
99
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8688
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8687
Cross-validation details (33% Holdout set)
Prior entropy
1.0792
Cross-validation details (33% Holdout set)
Recall
0.8687
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3195
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3177
Cross-validation details (33% Holdout set)
Root mean squared error
0.2035
Cross-validation details (33% Holdout set)
Root relative squared error
0.6405
Cross-validation details (33% Holdout set)
SciMark benchmark
946.5