DEVELOPMENT... OpenML
Run
118856

Run 118856

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)_I10
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
0.9104
Per class
Build CPU time
0.0378
Build memory
584550547.9394
F measure
0.7951
Per class
Kappa
0.5671
KB relative information score
77.3771
Mean absolute error
0.1917
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
0.7948
Per class
Predictive accuracy
0.7955
Prior entropy
0.9635
Recall
0.7955
Per class
Relative absolute error
0.4039
Root mean prior squared error
0.4869
Root mean squared error
0.3699
Root relative squared error
0.7597
SciMark benchmark
924.2473