DEVELOPMENT... OpenML
Run
117428

Run 117428

Task 244 (Supervised Classification) mfeat-fourier 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
0.9588
Per class
Build CPU time
56.405
Build memory
214664072
F measure
0.7711
Per class
Kappa
0.7473
KB relative information score
405.7665
Mean absolute error
0.1013
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7733
Per class
Predictive accuracy
0.7727
Prior entropy
3.3219
Recall
0.7727
Per class
Relative absolute error
0.563
Root mean prior squared error
0.3
Root mean squared error
0.1964
Root relative squared error
0.6548
SciMark benchmark
902.712