DEVELOPMENT... OpenML
Run
118189

Run 118189

Task 3670 (Supervised Classification) fri_c4_500_50 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
0.9048
Per class
Build CPU time
4.3752
Build memory
77205712
F measure
0.83
Per class
Kappa
0.6589
KB relative information score
321.0998
Mean absolute error
0.1796
Mean prior absolute error
0.4984
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
0.83
Per class
Predictive accuracy
0.83
Prior entropy
0.9978
Recall
0.83
Per class
Relative absolute error
0.3603
Root mean prior squared error
0.4992
Root mean squared error
0.3915
Root relative squared error
0.7843
SciMark benchmark
916.1588