DEVELOPMENT... OpenML
Run
116412

Run 116412

Task 259 (Supervised Classification) credit-approval Uploaded 09-12-2014 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)_I160
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
0.9054
Per class
Build CPU time
17.936
Build memory
328138000
F measure
0.8767
Per class
Kappa
0.7534
KB relative information score
171.0306
Mean absolute error
0.1275
Mean prior absolute error
0.4978
Number of instances
227
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.878
Per class
Predictive accuracy
0.8767
Prior entropy
0.9913
Recall
0.8767
Per class
Relative absolute error
0.2562
Root mean prior squared error
0.5008
Root mean squared error
0.3522
Root relative squared error
0.7033
SciMark benchmark
920.7965