DEVELOPMENT... OpenML
Run
118908

Run 118908

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.6796
Per class
Build CPU time
0.2636
Build memory
1205638186.9052
F measure
0.651
Per class
Kappa
0.2958
KB relative information score
80.5006
Mean absolute error
0.3894
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
0.652
Per class
Predictive accuracy
0.6504
Prior entropy
0.992
Recall
0.6504
Per class
Relative absolute error
0.7875
Root mean prior squared error
0.4972
Root mean squared error
0.5138
Root relative squared error
1.0334
SciMark benchmark
906.6607

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