DEVELOPMENT... OpenML
Run
116483

Run 116483

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 09-12-2014 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)_I160
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
0.8006
Per class
Build CPU time
5.949
Build memory
515244240
F measure
0.7787
Per class
Kappa
0.4828
KB relative information score
8.3355
Mean absolute error
0.1053
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7987
Per class
Predictive accuracy
0.7917
Prior entropy
1.3842
Recall
0.7917
Per class
Relative absolute error
0.4682
Root mean prior squared error
0.3095
Root mean squared error
0.3228
Root relative squared error
1.0431
SciMark benchmark
924.2473