DEVELOPMENT... OpenML
Run
135755

Run 135755

Task 3852 (Supervised Classification) anneal 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)_I40
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
0.9683
Per class
Build CPU time
0.2816
Build memory
1950042974.2361
F measure
0.9443
Per class
Kappa
0.8466
KB relative information score
740.6452
Mean absolute error
0.0556
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9443
Per class
Predictive accuracy
0.9443
Prior entropy
0.7932
Recall
0.9443
Per class
Relative absolute error
0.1531
Root mean prior squared error
0.426
Root mean squared error
0.2294
Root relative squared error
0.5384
SciMark benchmark
934.6076