DEVELOPMENT... OpenML
Run
118112

Run 118112

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9994
Per class
Build CPU time
5.3115
Build memory
1734100024.8529
F measure
0.9938
Per class
Kappa
0.983
KB relative information score
3959.1874
Mean absolute error
0.0077
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9938
Per class
Predictive accuracy
0.9938
Prior entropy
0.7946
Recall
0.9938
Per class
Relative absolute error
0.0212
Root mean prior squared error
0.4269
Root mean squared error
0.0744
Root relative squared error
0.1743
SciMark benchmark
916.8516