DEVELOPMENT... OpenML
Run
117877

Run 117877

Task 3877 (Supervised Classification) analcatdata_dmft 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)_I40
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
0.4836
Per class
Build CPU time
2.2074
Build memory
791443185.2949
F measure
0.7102
Per class
Kappa
-0.0324
KB relative information score
-141.7593
Mean absolute error
0.315
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6563
Per class
Predictive accuracy
0.7842
Prior entropy
0.7123
Recall
0.7842
Per class
Relative absolute error
1.0039
Root mean prior squared error
0.3958
Root mean squared error
0.4219
Root relative squared error
1.0659
SciMark benchmark
924.6733