Run
387356

Run 387356

Task 3653 (Supervised Classification) triazines Uploaded 06-04-2015 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
0.782
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7437
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
73.0291
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4854
Cross-validation details (10-fold Crossvalidation)
Number of instances
186
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7455
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7473
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.979
Cross-validation details (10-fold Crossvalidation)
Recall
0.7473
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6229
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4327
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8785
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
952.4682
UserCPU time millis
2290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2290
Cross-validation details (10-fold Crossvalidation)