Run
441918

Run 441918

Task 4437 (Supervised Classification) fri_c4_100_25 Uploaded 16-05-2015 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
0.8012
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7495
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4952
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
445.6825
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2817
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4969
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7496
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.75
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9956
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.75
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.567
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4984
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4462
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8953
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
936.9595
UserCPU time millis
80
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10 times 10-fold Crossvalidation)