DEVELOPMENT... OpenML
Run
118274

Run 118274

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.9183
Per class
Build CPU time
2.2926
Build memory
965182540.8
F measure
0.826
Per class
Kappa
0.6519
KB relative information score
321.2738
Mean absolute error
0.1795
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.826
Per class
Predictive accuracy
0.826
Prior entropy
0.9997
Recall
0.826
Per class
Relative absolute error
0.3592
Root mean prior squared error
0.4999
Root mean squared error
0.3867
Root relative squared error
0.7735
SciMark benchmark
874.7324