DEVELOPMENT... OpenML
Run
119512

Run 119512

Task 3891 (Supervised Classification) gina_agnostic 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
0.9705
Per class
Build CPU time
643.0597
Build memory
238575540.692
F measure
0.9167
Per class
Kappa
0.8333
KB relative information score
2827.9967
Mean absolute error
0.0944
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9167
Per class
Predictive accuracy
0.9167
Prior entropy
0.9998
Recall
0.9167
Per class
Relative absolute error
0.1888
Root mean prior squared error
0.4999
Root mean squared error
0.2619
Root relative squared error
0.5238
SciMark benchmark
885.5309