DEVELOPMENT... OpenML
Run
117388

Run 117388

Task 3841 (Supervised Classification) mfeat-factors 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
0.985
Per class
Build CPU time
336.7627
Build memory
641581214.4
F measure
0.997
Per class
Kappa
0.9831
KB relative information score
1950.3654
Mean absolute error
0.003
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.997
Per class
Predictive accuracy
0.997
Prior entropy
0.4703
Recall
0.997
Per class
Relative absolute error
0.0166
Root mean prior squared error
0.3
Root mean squared error
0.0548
Root relative squared error
0.1826
SciMark benchmark
937.279