DEVELOPMENT... OpenML
Run
186797

Run 186797

Task 41 (Supervised Classification) soybean 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
0.9894
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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
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
1327.8711
UserCPU time millis
17440
UserCPU time millis testing
1300
UserCPU time millis training
16140