DEVELOPMENT... OpenML
Run
116901

Run 116901

Task 42 (Supervised Classification) haberman 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
0.6387
Per class
Build CPU time
1.535
Build memory
698592452.3137
F measure
0.6609
Per class
Kappa
0.1038
KB relative information score
19.3346
Mean absolute error
0.3304
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.652
Per class
Predictive accuracy
0.6732
Prior entropy
0.836
Recall
0.6732
Per class
Relative absolute error
0.8472
Root mean prior squared error
0.4412
Root mean squared error
0.5333
Root relative squared error
1.2089
SciMark benchmark
937.9603