DEVELOPMENT... OpenML
Run
105566

Run 105566

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.9593
Per class
Build CPU time
0.344
Build memory
125367459.2
F measure
0.8878
Per class
Kappa
0.7736
KB relative information score
381.4283
Mean absolute error
0.1183
Mean prior absolute error
0.4961
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
0.8881
Per class
Predictive accuracy
0.888
Prior entropy
0.9945
Recall
0.888
Per class
Relative absolute error
0.2384
Root mean prior squared error
0.4981
Root mean squared error
0.3016
Root relative squared error
0.6055
SciMark benchmark
902.0906