DEVELOPMENT... OpenML
Run
117392

Run 117392

Task 29 (Supervised Classification) credit-approval Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9191
Per class
Build CPU time
5.0076
Build memory
401669492.8
F measure
0.8536
Per class
Kappa
0.7037
KB relative information score
473.8019
Mean absolute error
0.1552
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8537
Per class
Predictive accuracy
0.8536
Prior entropy
0.9913
Recall
0.8536
Per class
Relative absolute error
0.3142
Root mean prior squared error
0.497
Root mean squared error
0.3605
Root relative squared error
0.7254
SciMark benchmark
924.6733