DEVELOPMENT... OpenML
Run
50543

Run 50543

Task 1723 (Learning Curve) mushroom Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.ADTree(2)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1

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
0.9999 ± 0
Per class
Build CPU time
0.0092
Build memory
528452128.0533
F measure
0.999 ± 0.001
Per class
Kappa
0.998 ± 0.0019
KB relative information score
0.9675 ± 0.0037
Mean absolute error
0.021 ± 0.0022
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
0.999 ± 0.001
Per class
Predictive accuracy
0.999 ± 0.001
Prior entropy
0.9991 ± 0.0001
Recall
0.999 ± 0.001
Per class
Relative absolute error
0.042 ± 0.0044
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0526 ± 0.0071
Root relative squared error
0.1052 ± 0.0141
SciMark benchmark
1633.1623