DEVELOPMENT... OpenML
Run
186849

Run 186849

Task 289 (Supervised Classification) iris Uploaded 25-02-2015 by Felicia West
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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
0.8912
Per class
F measure
0.8584
Per class
Kappa
0.7852
KB relative information score
35.6536
Mean absolute error
0.143
Mean prior absolute error
0.4444
Number of instances
49
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8626
Per class
Predictive accuracy
0.8571
Prior entropy
1.585
Recall
0.8571
Per class
Relative absolute error
0.3218
Root mean prior squared error
0.4714
Root mean squared error
0.3019
Root relative squared error
0.6405
SciMark benchmark
1066.7184
UserCPU time millis
40
UserCPU time millis training
40