DEVELOPMENT... OpenML
Run
105472

Run 105472

Task 3670 (Supervised Classification) fri_c4_500_50 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
0.9357
Per class
Build CPU time
1.3735
Build memory
752423805.6
F measure
0.87
Per class
Kappa
0.7394
KB relative information score
359.0617
Mean absolute error
0.142
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8701
Per class
Predictive accuracy
0.87
Prior entropy
0.9978
Recall
0.87
Per class
Relative absolute error
0.2848
Root mean prior squared error
0.4992
Root mean squared error
0.3348
Root relative squared error
0.6706
SciMark benchmark
920.2722