DEVELOPMENT... OpenML
Run
118279

Run 118279

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)_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
0.961
Per class
Build CPU time
0.8327
Build memory
186182858.4
F measure
0.896
Per class
Kappa
0.7902
KB relative information score
391.7937
Mean absolute error
0.108
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
0.896
Per class
Predictive accuracy
0.896
Prior entropy
0.9945
Recall
0.896
Per class
Relative absolute error
0.2176
Root mean prior squared error
0.4981
Root mean squared error
0.3049
Root relative squared error
0.6122
SciMark benchmark
944.4197