DEVELOPMENT... OpenML
Run
117195

Run 117195

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)_I80
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
0.9204
Per class
Build CPU time
17.2224
Build memory
1511545799.2
F measure
0.868
Per class
Kappa
0.7351
KB relative information score
367.7803
Mean absolute error
0.1318
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
0.868
Per class
Predictive accuracy
0.868
Prior entropy
0.9978
Recall
0.868
Per class
Relative absolute error
0.2644
Root mean prior squared error
0.4992
Root mean squared error
0.3526
Root relative squared error
0.7063
SciMark benchmark
917.4547