DEVELOPMENT... OpenML
Run
117386

Run 117386

Task 23 (Supervised Classification) cmc 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)_I40
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
0.7054
Per class
Build CPU time
1.4847
Build memory
1134716103.3428
F measure
0.5561
Per class
Kappa
0.3141
KB relative information score
128.9574
Mean absolute error
0.4194
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5721
Per class
Predictive accuracy
0.5621
Prior entropy
1.5392
Recall
0.5621
Per class
Relative absolute error
0.9734
Root mean prior squared error
0.4641
Root mean squared error
0.4496
Root relative squared error
0.9687
SciMark benchmark
914.1182