Run
341722

Run 341722

Task 4484 (Supervised Classification) fri_c3_100_5 Uploaded 27-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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
0.7959
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7628
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5183
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
437.1692
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2871
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.7626
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.99
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5825
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.43
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8663
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1313.11
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)