Run
314657

Run 314657

Task 287 (Supervised Classification) ionosphere Uploaded 21-03-2015 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
0.9799
Per class
Cross-validation details (33% Holdout set)
F measure
0.9471
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8806
Cross-validation details (33% Holdout set)
KB relative information score
97.3036
Cross-validation details (33% Holdout set)
Mean absolute error
0.0612
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
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
0.949
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9478
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9478
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1346
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2265
Cross-validation details (33% Holdout set)
Root relative squared error
0.478
Cross-validation details (33% Holdout set)
SciMark benchmark
918.0213
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)