DEVELOPMENT... OpenML
Run
118833

Run 118833

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.9593
Per class
Build CPU time
0.4435
Build memory
1360780347.2
F measure
0.8957
Per class
Kappa
0.7895
KB relative information score
386.1649
Mean absolute error
0.114
Mean prior absolute error
0.4961
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
0.8965
Per class
Predictive accuracy
0.896
Prior entropy
0.9945
Recall
0.896
Per class
Relative absolute error
0.2299
Root mean prior squared error
0.4981
Root mean squared error
0.2976
Root relative squared error
0.5975
SciMark benchmark
923.3659