DEVELOPMENT... OpenML
Run
135077

Run 135077

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6232
Per class
Build CPU time
0.0146
Build memory
1902558455.6735
F measure
0.6116
Per class
Kappa
0.2196
KB relative information score
29.669
Mean absolute error
0.3985
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
0.6115
Per class
Predictive accuracy
0.6122
Prior entropy
0.9974
Recall
0.6122
Per class
Relative absolute error
0.8
Root mean prior squared error
0.4991
Root mean squared error
0.6112
Root relative squared error
1.2246
SciMark benchmark
939.084