OpenML
377654

Run 377654

Task 3727 (Supervised Classification) fri_c4_250_10 Uploaded 30-03-2015 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
0.8615
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7996
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5971
Cross-validation details (10-fold Crossvalidation)
KB relative information score
130.2049
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2483
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.498
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8001
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9971
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4986
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3966
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7948
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1318.6467
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
130
Cross-validation details (10-fold Crossvalidation)