DEVELOPMENT... OpenML
Run
118753

Run 118753

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)_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
0.9871
Per class
Build CPU time
0.6659
Build memory
895721122.6537
F measure
0.9853
Per class
Kappa
0.9695
KB relative information score
196.7585
Mean absolute error
0.019
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
0.9857
Per class
Predictive accuracy
0.9854
Prior entropy
0.9742
Recall
0.9854
Per class
Relative absolute error
0.0395
Root mean prior squared error
0.4909
Root mean squared error
0.1286
Root relative squared error
0.2621
SciMark benchmark
923.3659