DEVELOPMENT... OpenML
Run
132200

Run 132200

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.7338
Per class
Build CPU time
0.1523
Build memory
1570883632.0217
F measure
0.6765
Per class
Kappa
0.3443
KB relative information score
87.7163
Mean absolute error
0.3861
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6762
Per class
Predictive accuracy
0.6775
Prior entropy
0.992
Recall
0.6775
Per class
Relative absolute error
0.7809
Root mean prior squared error
0.4972
Root mean squared error
0.4607
Root relative squared error
0.9266
SciMark benchmark
940.5537