Run
472049

Run 472049

Task 7395 (Supervised Classification) physionet_bradycardia Uploaded 24-07-2015 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

0.9132
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8567
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7133
Cross-validation details (10 times 10-fold Crossvalidation)
617.006
Cross-validation details (10 times 10-fold Crossvalidation)
0.1613
Cross-validation details (10 times 10-fold Crossvalidation)
0.4998
Cross-validation details (10 times 10-fold Crossvalidation)
900
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.857
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8567
Cross-validation details (10 times 10-fold Crossvalidation)
0.9997
Cross-validation details (10 times 10-fold Crossvalidation)
0.8567
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3228
Cross-validation details (10 times 10-fold Crossvalidation)
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
0.3483
Cross-validation details (10 times 10-fold Crossvalidation)
0.6967
Cross-validation details (10 times 10-fold Crossvalidation)
944.1067
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)