Run
341502

Run 341502

Task 4261 (Supervised Classification) analcatdata_cyyoung8092 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
0.7734
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7836
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4068
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
252.0625
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2616
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
970
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
0.7803
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7887
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8153
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7887
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6977
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4315
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4078
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9449
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1338.5214
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)