Run
54262

Run 54262

Task 1723 (Learning Curve) mushroom Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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
0.9847 ± 0.0049
Per class
Build CPU time
0.002
Build memory
2154093267.0933
F measure
0.9852 ± 0.0047
Per class
Kappa
0.9704 ± 0.0094
KB relative information score
0.9704 ± 0.0094
Mean absolute error
0.0148 ± 0.0047
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9856 ± 0.0044
Per class
Predictive accuracy
0.9852 ± 0.0047
Prior entropy
0.9991 ± 0.0001
Recall
0.9852 ± 0.0047
Per class
Relative absolute error
0.0296 ± 0.0094
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1215 ± 0.0198
Root relative squared error
0.2432 ± 0.0397
SciMark benchmark
1615.5755