Run
458433

Run 458433

Task 1938 (Supervised Classification) waveform-5000 Uploaded 03-07-2015 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
0.9356
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8004
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7016
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
34795.1759
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1551
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
50000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8013
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.801
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.801
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.349
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3162
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6707
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
947.1781
UserCPU time millis
11870
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
90
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
11780
Cross-validation details (10 times 10-fold Crossvalidation)