DEVELOPMENT... OpenML
Run
135204

Run 135204

Task 3909 (Supervised Classification) ar1 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
0.6334
Per class
Build CPU time
0.0147
Build memory
3026655157.0909
F measure
0.8815
Per class
Kappa
-0.0278
KB relative information score
7.2043
Mean absolute error
0.0948
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8556
Per class
Predictive accuracy
0.9091
Prior entropy
0.4067
Recall
0.9091
Per class
Relative absolute error
0.6603
Root mean prior squared error
0.2625
Root mean squared error
0.3002
Root relative squared error
1.1436
SciMark benchmark
939.084