DEVELOPMENT... OpenML
Run
134835

Run 134835

Task 3054 (Supervised Classification) monks-problems-2 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
0.6899
Per class
Build CPU time
0.002
Build memory
816545840
F measure
0.6724
Per class
Kappa
0.2894
KB relative information score
60.6723
Mean absolute error
0.3104
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
0.6703
Per class
Predictive accuracy
0.6768
Prior entropy
0.9279
Recall
0.6768
Per class
Relative absolute error
0.6766
Root mean prior squared error
0.4831
Root mean squared error
0.5328
Root relative squared error
1.1029
SciMark benchmark
946.9091