DEVELOPMENT... OpenML
Run
118229

Run 118229

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.9507
Per class
Build CPU time
0.4273
Build memory
713660285.6
F measure
0.874
Per class
Kappa
0.7468
KB relative information score
375.1062
Mean absolute error
0.124
Mean prior absolute error
0.4977
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
0.874
Per class
Predictive accuracy
0.874
Prior entropy
0.9967
Recall
0.874
Per class
Relative absolute error
0.2491
Root mean prior squared error
0.4988
Root mean squared error
0.3308
Root relative squared error
0.663
SciMark benchmark
874.7324