Run
104458

Run 104458

Task 284 (Supervised Classification) hepatitis 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
0.7895
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.001
Cross-validation details (33% Holdout set)
Build memory
438677536
Cross-validation details (33% Holdout set)
F measure
0.8039
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4838
Cross-validation details (33% Holdout set)
KB relative information score
20.1376
Cross-validation details (33% Holdout set)
Mean absolute error
0.2152
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3579
Cross-validation details (33% Holdout set)
Number of instances
51
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
0.8039
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8039
Cross-validation details (33% Holdout set)
Prior entropy
0.7418
Cross-validation details (33% Holdout set)
Recall
0.8039
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6013
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4381
Cross-validation details (33% Holdout set)
Root mean squared error
0.411
Cross-validation details (33% Holdout set)
Root relative squared error
0.9381
Cross-validation details (33% Holdout set)
SciMark benchmark
942.4411