DEVELOPMENT... OpenML
Run
187350

Run 187350

Task 3716 (Supervised Classification) tecator 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
0.9481
Per class
F measure
0.9208
Per class
Kappa
0.8378
KB relative information score
191.5762
Mean absolute error
0.1027
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9208
Per class
Predictive accuracy
0.9208
Prior entropy
0.984
Recall
0.9208
Per class
Relative absolute error
0.2101
Root mean prior squared error
0.4943
Root mean squared error
0.2647
Root relative squared error
0.5356
SciMark benchmark
1250.8301
UserCPU time millis
5220
UserCPU time millis testing
20
UserCPU time millis training
5200