DEVELOPMENT... OpenML
Run
136877

Run 136877

Task 3765 (Supervised Classification) sleuth_case2002 Uploaded 31-12-2014 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)_I160
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
0.6227
Per class
Build CPU time
0.0981
Build memory
1130380420.898
F measure
0.6057
Per class
Kappa
0.2092
KB relative information score
28.3753
Mean absolute error
0.4022
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6062
Per class
Predictive accuracy
0.6054
Prior entropy
0.9974
Recall
0.6054
Per class
Relative absolute error
0.8075
Root mean prior squared error
0.4991
Root mean squared error
0.6162
Root relative squared error
1.2347
SciMark benchmark
923.564