Run
441084

Run 441084

Task 26 (Supervised Classification) nursery 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
0.9975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9736
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9623
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12035.16
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0248
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9743
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0909
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0994
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2691
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
730.6551
UserCPU time millis
5880
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
370
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
5510
Cross-validation details (10-fold Crossvalidation)