DEVELOPMENT... OpenML
Run
23333

Run 23333

Task 41 (Supervised Classification) soybean Uploaded 24-06-2014 by Felicia West
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Flow

weka.NBTree(1)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.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9894
Per class
F measure
0.9297
Per class
Kappa
0.923
KB relative information score
634.3878
Mean absolute error
0.0096
Mean prior absolute error
0.0961
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9346
Per class
Predictive accuracy
0.9297
Prior entropy
3.8572
Recall
0.9297
Per class
Relative absolute error
0.0994
Root mean prior squared error
0.2191
Root mean squared error
0.0815
Root relative squared error
0.3718
SciMark benchmark
903.2223[556.9095328849074947.3722143031966428.2975018231362854.16747967168921729.364580914293]