Run
458298

Run 458298

Task 269 (Supervised Classification) sonar Uploaded 02-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.7232
Per class
Cross-validation details (33% Holdout set)
F measure
0.6183
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2373
Cross-validation details (33% Holdout set)
KB relative information score
18.8948
Cross-validation details (33% Holdout set)
Mean absolute error
0.3565
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4971
Cross-validation details (33% Holdout set)
Number of instances
68
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
0.6232
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6176
Cross-validation details (33% Holdout set)
Prior entropy
0.9968
Cross-validation details (33% Holdout set)
Recall
0.6176
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7172
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4982
Cross-validation details (33% Holdout set)
Root mean squared error
0.544
Cross-validation details (33% Holdout set)
Root relative squared error
1.0921
Cross-validation details (33% Holdout set)
SciMark benchmark
943.1009
UserCPU time millis
1350
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
1340
Cross-validation details (33% Holdout set)