DEVELOPMENT... OpenML
Run
116973

Run 116973

Task 1766 (Supervised Classification) anneal 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
0.9887
Per class
Build CPU time
15.2463
Build memory
217815723.2
F measure
0.9903
Per class
Kappa
0.9765
KB relative information score
4257.5397
Mean absolute error
0.0031
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9906
Per class
Predictive accuracy
0.9906
Prior entropy
1.2149
Recall
0.9906
Per class
Relative absolute error
0.0228
Root mean prior squared error
0.2582
Root mean squared error
0.0544
Root relative squared error
0.2109
SciMark benchmark
939.6298