DEVELOPMENT... OpenML
Run
117217

Run 117217

Task 3705 (Supervised Classification) autoHorse 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
0.9818
Per class
Build CPU time
5.179
Build memory
666251327.922
F measure
0.9804
Per class
Kappa
0.9594
KB relative information score
196.6753
Mean absolute error
0.0189
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9806
Per class
Predictive accuracy
0.9805
Prior entropy
0.9742
Recall
0.9805
Per class
Relative absolute error
0.0392
Root mean prior squared error
0.4909
Root mean squared error
0.1354
Root relative squared error
0.2757
SciMark benchmark
919.5971