DEVELOPMENT... OpenML
Run
131836

Run 131836

Task 3054 (Supervised Classification) monks-problems-2 Uploaded 26-12-2014 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)_I80
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
0.7257
Per class
Build CPU time
0.109
Build memory
2127711200
F measure
0.6224
Per class
Kappa
0.1775
KB relative information score
34.6724
Mean absolute error
0.3681
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6189
Per class
Predictive accuracy
0.6313
Prior entropy
0.9279
Recall
0.6313
Per class
Relative absolute error
0.8023
Root mean prior squared error
0.4831
Root mean squared error
0.4535
Root relative squared error
0.9387
SciMark benchmark
942.3945