DEVELOPMENT... OpenML
Run
118264

Run 118264

Task 3784 (Supervised Classification) analcatdata_seropositive 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)_I20
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
0.9664
Per class
Build CPU time
0.0856
Build memory
193403965.7576
F measure
0.9697
Per class
Kappa
0.9333
KB relative information score
122.1386
Mean absolute error
0.0322
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9697
Per class
Predictive accuracy
0.9697
Prior entropy
0.9347
Recall
0.9697
Per class
Relative absolute error
0.0708
Root mean prior squared error
0.4765
Root mean squared error
0.1754
Root relative squared error
0.3682
SciMark benchmark
942.5053

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