OpenML
321053

Run 321053

Task 4518 (Supervised Classification) arsenic-female-lung Uploaded 25-03-2015 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
0.8268
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9883
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8072
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3950.2013
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0142
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.0672
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
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
0.9894
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9893
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.222
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9893
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2114
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.1812
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1033
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5701
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1297.2338
UserCPU time millis
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10 times 10-fold Crossvalidation)