DEVELOPMENT... OpenML
Run
118164

Run 118164

Task 3647 (Supervised Classification) rabe_266 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)_I20
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
0.9663
Per class
Build CPU time
0.0442
Build memory
295429340
F measure
0.9583
Per class
Kappa
0.9165
KB relative information score
109.9946
Mean absolute error
0.0415
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9585
Per class
Predictive accuracy
0.9583
Prior entropy
0.9983
Recall
0.9583
Per class
Relative absolute error
0.0831
Root mean prior squared error
0.4994
Root mean squared error
0.2031
Root relative squared error
0.4067
SciMark benchmark
916.1588