DEVELOPMENT... OpenML
Run
134702

Run 134702

Task 259 (Supervised Classification) credit-approval Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8677
Per class
Build CPU time
0.063
Build memory
902369896
F measure
0.8497
Per class
Kappa
0.6989
KB relative information score
156.9918
Mean absolute error
0.1577
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
0.8525
Per class
Predictive accuracy
0.8502
Prior entropy
0.9913
Recall
0.8502
Per class
Relative absolute error
0.3169
Root mean prior squared error
0.5008
Root mean squared error
0.3883
Root relative squared error
0.7753
SciMark benchmark
946.9091