DEVELOPMENT... OpenML
Run
105496

Run 105496

Task 3722 (Supervised Classification) hungarian 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
0.8577
Per class
Build CPU time
0.1391
Build memory
375792841.3061
F measure
0.7803
Per class
Kappa
0.52
KB relative information score
151.0235
Mean absolute error
0.2176
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7795
Per class
Predictive accuracy
0.7823
Prior entropy
0.9439
Recall
0.7823
Per class
Relative absolute error
0.4717
Root mean prior squared error
0.4802
Root mean squared error
0.4249
Root relative squared error
0.8849
SciMark benchmark
945.7844