DEVELOPMENT... OpenML
Run
26163

Run 26163

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
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Flow

weka.NBTree(2)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.

21 Evaluation measures

Area under ROC curve
0.9829
Per class
Build CPU time
0.0344
Build memory
121700384.8
F measure
0.96
Per class
Kappa
0.94
KB relative information score
137.3919
Mean absolute error
0.0463
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.96
Per class
Predictive accuracy
0.96
Prior entropy
1.585
Recall
0.96
Per class
Relative absolute error
0.1041
Root mean prior squared error
0.4714
Root mean squared error
0.1566
Root relative squared error
0.3322
SciMark benchmark
1691.1193[1021.51722370945521236.813252197729662.80359311080621360.7266485329124173.735665565586]