DEVELOPMENT... OpenML
Run
136269

Run 136269

Task 3761 (Supervised Classification) hip Uploaded 31-12-2014 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)_I80
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
0.7431
Per class
Build CPU time
0.0111
Build memory
690786697.1852
F measure
0.7223
Per class
Kappa
0.4444
KB relative information score
23.4943
Mean absolute error
0.2828
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7229
Per class
Predictive accuracy
0.7222
Prior entropy
0.9991
Recall
0.7222
Per class
Relative absolute error
0.5663
Root mean prior squared error
0.4997
Root mean squared error
0.5183
Root relative squared error
1.0374
SciMark benchmark
915.3856