DEVELOPMENT... OpenML
Run
116386

Run 116386

Task 42 (Supervised Classification) haberman Uploaded 09-12-2014 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)_I160
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
0.6365
Per class
Build CPU time
3.503
Build memory
274110703.3203
F measure
0.6498
Per class
Kappa
0.0731
KB relative information score
16.1192
Mean absolute error
0.3332
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
0.6398
Per class
Predictive accuracy
0.6634
Prior entropy
0.836
Recall
0.6634
Per class
Relative absolute error
0.8543
Root mean prior squared error
0.4412
Root mean squared error
0.5458
Root relative squared error
1.2372
SciMark benchmark
920.7965