DEVELOPMENT... OpenML
Run
117337

Run 117337

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)_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
0.493
Per class
Build CPU time
4.4954
Build memory
821458155.1016
F measure
0.7087
Per class
Kappa
-0.0378
KB relative information score
-132.2649
Mean absolute error
0.3106
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
0.6457
Per class
Predictive accuracy
0.7854
Prior entropy
0.7123
Recall
0.7854
Per class
Relative absolute error
0.99
Root mean prior squared error
0.3958
Root mean squared error
0.423
Root relative squared error
1.0688
SciMark benchmark
943.7751