DEVELOPMENT... OpenML
Run
50567

Run 50567

Task 1730 (Learning Curve) credit-g 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
0.727 ± 0.0462
Per class
Build CPU time
0.0112
Build memory
259173943.8222
F measure
0.6824 ± 0.062
Per class
Kappa
0.2173 ± 0.1563
KB relative information score
0.0355 ± 0.0389
Mean absolute error
0.3918 ± 0.013
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6773 ± 0.0696
Per class
Predictive accuracy
0.701 ± 0.0547
Prior entropy
0.8813
Recall
0.701 ± 0.0547
Per class
Relative absolute error
0.9324 ± 0.0308
Root mean prior squared error
0.4583
Root mean squared error
0.4329 ± 0.0111
Root relative squared error
0.9447 ± 0.0243
SciMark benchmark
1651.8608