Run
578847

Run 578847

Task 219 (Supervised Classification) electricity Uploaded 04-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(6)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
0.9116
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8491
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6904
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27646.4519
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1984
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8496
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8496
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4061
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3401
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.688
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1382.1259
UserCPU time millis
14860
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
230
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
14630
Cross-validation details (10-fold Crossvalidation)