DEVELOPMENT... OpenML
Run
50476

Run 50476

Task 1723 (Learning Curve) mushroom Uploaded 06-11-2014 by Felicia West
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Flow

weka.NBTree(2)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.

21 Evaluation measures

Area under ROC curve
1
Per class
Build CPU time
0.7095
Build memory
242093703.8933
F measure
1
Per class
Kappa
1
KB relative information score
0.9998 ± 0.0002
Mean absolute error
0.0001 ± 0.0001
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
1
Per class
Predictive accuracy
1
Prior entropy
0.9991 ± 0.0001
Recall
1
Per class
Relative absolute error
0.0003 ± 0.0002
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0021 ± 0.0012
Root relative squared error
0.0043 ± 0.0025
SciMark benchmark
942.4911