DEVELOPMENT... OpenML
Run
137005

Run 137005

Task 3921 (Supervised Classification) jEdit_4.0_4.2 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)_I160
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
0.7189
Per class
Build CPU time
0.0063
Build memory
727126753.5766
F measure
0.719
Per class
Kappa
0.4378
KB relative information score
119.8936
Mean absolute error
0.281
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.719
Per class
Predictive accuracy
0.719
Prior entropy
0.9997
Recall
0.719
Per class
Relative absolute error
0.5623
Root mean prior squared error
0.4999
Root mean squared error
0.5301
Root relative squared error
1.0605
SciMark benchmark
926.507