DEVELOPMENT... OpenML
Run
117700

Run 117700

Task 3665 (Supervised Classification) pyrim 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)_I40
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
0.925
Per class
Build CPU time
0.4695
Build memory
1635964352.2162
F measure
0.9052
Per class
Kappa
0.8048
KB relative information score
59.5002
Mean absolute error
0.0938
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9053
Per class
Predictive accuracy
0.9054
Prior entropy
0.9819
Recall
0.9054
Per class
Relative absolute error
0.1925
Root mean prior squared error
0.4934
Root mean squared error
0.305
Root relative squared error
0.6181
SciMark benchmark
874.7324