DEVELOPMENT... OpenML
Run
120666

Run 120666

Task 259 (Supervised Classification) credit-approval Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8673
Per class
Build CPU time
29.392
Build memory
123185176
F measure
0.8459
Per class
Kappa
0.6915
KB relative information score
159.3935
Mean absolute error
0.1517
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
0.8462
Per class
Predictive accuracy
0.8458
Prior entropy
0.9913
Recall
0.8458
Per class
Relative absolute error
0.3048
Root mean prior squared error
0.5008
Root mean squared error
0.3876
Root relative squared error
0.7739
SciMark benchmark
941.4057