DEVELOPMENT... OpenML
Run
118456

Run 118456

Task 259 (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)_I10
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
0.9268
Per class
Build CPU time
1.065
Build memory
135048768
F measure
0.8811
Per class
Kappa
0.7623
KB relative information score
166.5887
Mean absolute error
0.1405
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
0.8828
Per class
Predictive accuracy
0.8811
Prior entropy
0.9913
Recall
0.8811
Per class
Relative absolute error
0.2822
Root mean prior squared error
0.5008
Root mean squared error
0.3233
Root relative squared error
0.6456
SciMark benchmark
913.3372