DEVELOPMENT... OpenML
Run
187471

Run 187471

Task 3809 (Supervised Classification) visualizing_ethanol 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
0.4044
Per class
F measure
0.4098
Per class
Kappa
-0.1464
KB relative information score
-4.578
Mean absolute error
0.5211
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4157
Per class
Predictive accuracy
0.4318
Prior entropy
0.9996
Recall
0.4318
Per class
Relative absolute error
1.0427
Root mean prior squared error
0.4999
Root mean squared error
0.5313
Root relative squared error
1.0629
SciMark benchmark
932.0534
UserCPU time millis
50
UserCPU time millis training
50