DEVELOPMENT... OpenML
Run
105671

Run 105671

Task 3913 (Supervised Classification) kc2 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7452
Per class
Build CPU time
0.4932
Build memory
1055677367.1111
F measure
0.7891
Per class
Kappa
0.3366
KB relative information score
139.5672
Mean absolute error
0.2103
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7847
Per class
Predictive accuracy
0.795
Prior entropy
0.734
Recall
0.795
Per class
Relative absolute error
0.6439
Root mean prior squared error
0.4037
Root mean squared error
0.3918
Root relative squared error
0.9705
SciMark benchmark
944.3832