DEVELOPMENT... OpenML
Run
116910

Run 116910

Task 55 (Supervised Classification) vote 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)_I80
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
0.977
Per class
Build CPU time
0.1514
Build memory
110400721.5264
F measure
0.9495
Per class
Kappa
0.8936
KB relative information score
382.3828
Mean absolute error
0.0575
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9496
Per class
Predictive accuracy
0.9494
Prior entropy
0.9627
Recall
0.9494
Per class
Relative absolute error
0.1212
Root mean prior squared error
0.4869
Root mean squared error
0.2012
Root relative squared error
0.4132
SciMark benchmark
925.481