DEVELOPMENT... OpenML
Run
133239

Run 133239

Task 3724 (Supervised Classification) vinnie Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8948
Per class
Build CPU time
1.2722
Build memory
1227732064.8
F measure
0.8421
Per class
Kappa
0.6843
KB relative information score
222.8239
Mean absolute error
0.2164
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8429
Per class
Predictive accuracy
0.8421
Prior entropy
0.9995
Recall
0.8421
Per class
Relative absolute error
0.4332
Root mean prior squared error
0.4998
Root mean squared error
0.3482
Root relative squared error
0.6965
SciMark benchmark
943.8094