DEVELOPMENT... OpenML
Run
118550

Run 118550

Task 2079 (Supervised Classification) eucalyptus 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
0.8796
Per class
Build CPU time
5.7783
Build memory
521414061.163
F measure
0.6468
Per class
Kappa
0.5462
KB relative information score
248.3195
Mean absolute error
0.247
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6599
Per class
Predictive accuracy
0.6495
Prior entropy
2.2629
Recall
0.6495
Per class
Relative absolute error
0.7886
Root mean prior squared error
0.3957
Root mean squared error
0.3292
Root relative squared error
0.8319
SciMark benchmark
923.9118