DEVELOPMENT... OpenML
Run
118487

Run 118487

Task 1768 (Supervised Classification) labor 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
0.9042
Per class
Build CPU time
0.0482
Build memory
312369012.9965
F measure
0.8703
Per class
Kappa
0.7157
KB relative information score
193.0888
Mean absolute error
0.1433
Mean prior absolute error
0.457
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8705
Per class
Predictive accuracy
0.8702
Prior entropy
0.9393
Recall
0.8702
Per class
Relative absolute error
0.3136
Root mean prior squared error
0.4773
Root mean squared error
0.3498
Root relative squared error
0.733
SciMark benchmark
945.0532