DEVELOPMENT... OpenML
Run
117255

Run 117255

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8299
Per class
Build CPU time
0.4649
Build memory
405034354.5806
F measure
0.8294
Per class
Kappa
0.6447
KB relative information score
58.461
Mean absolute error
0.1721
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8338
Per class
Predictive accuracy
0.828
Prior entropy
0.9645
Recall
0.828
Per class
Relative absolute error
0.3623
Root mean prior squared error
0.4871
Root mean squared error
0.4141
Root relative squared error
0.8501
SciMark benchmark
920.7965