DEVELOPMENT... OpenML
Run
136393

Run 136393

Task 3905 (Supervised Classification) mc2 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)_I80
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
0.6723
Per class
Build CPU time
0.1142
Build memory
300766640.4472
F measure
0.6609
Per class
Kappa
0.2173
KB relative information score
31.1421
Mean absolute error
0.3341
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.658
Per class
Predictive accuracy
0.6646
Prior entropy
0.9099
Recall
0.6646
Per class
Relative absolute error
0.7625
Root mean prior squared error
0.4676
Root mean squared error
0.5627
Root relative squared error
1.2034
SciMark benchmark
926.507