DEVELOPMENT... OpenML
Run
118441

Run 118441

Task 241 (Supervised Classification) balance-scale 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)_I10
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
0.9433
Per class
Build CPU time
0.366
Build memory
221799440
F measure
0.7963
Per class
Kappa
0.6811
KB relative information score
125.1372
Mean absolute error
0.1515
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7858
Per class
Predictive accuracy
0.8204
Prior entropy
1.3212
Recall
0.8204
Per class
Relative absolute error
0.3927
Root mean prior squared error
0.4424
Root mean squared error
0.2928
Root relative squared error
0.6618
SciMark benchmark
945.0532

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