Run
327038

Run 327038

Task 2938 (Supervised Classification) yeast Uploaded 26-03-2015 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
0.8108
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5678
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.45
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
6455.9832
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1108
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
14840
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5671
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5768
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5768
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7126
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2374
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8517
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1397.3209
UserCPU time millis
490
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
150
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
340
Cross-validation details (10 times 10-fold Crossvalidation)