DEVELOPMENT... OpenML
Run
50565

Run 50565

Task 1728 (Learning Curve) credit-approval 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
0.9222 ± 0.036
Per class
Build CPU time
0.0063
Build memory
115035749
F measure
0.8624 ± 0.039
Per class
Kappa
0.7215 ± 0.0794
KB relative information score
0.5288 ± 0.0517
Mean absolute error
0.2519 ± 0.024
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8625 ± 0.0362
Per class
Predictive accuracy
0.8623 ± 0.0382
Prior entropy
0.9912 ± 0.0022
Recall
0.8623 ± 0.0382
Per class
Relative absolute error
0.5099 ± 0.0487
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3309 ± 0.0283
Root relative squared error
0.6659 ± 0.0573
SciMark benchmark
1624.8488