DEVELOPMENT... OpenML
Run
118307

Run 118307

Task 3837 (Supervised Classification) hayes-roth 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
0.9125
Per class
Build CPU time
0.0817
Build memory
949025807.0909
F measure
0.7932
Per class
Kappa
0.5607
KB relative information score
77.0169
Mean absolute error
0.1915
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7934
Per class
Predictive accuracy
0.7955
Prior entropy
0.9635
Recall
0.7955
Per class
Relative absolute error
0.4036
Root mean prior squared error
0.4869
Root mean squared error
0.3747
Root relative squared error
0.7696
SciMark benchmark
916.8516