DEVELOPMENT... OpenML
Run
105546

Run 105546

Task 3774 (Supervised Classification) fri_c2_250_5 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
0.952
Per class
Build CPU time
0.097
Build memory
1260141221.6
F measure
0.8955
Per class
Kappa
0.7873
KB relative information score
196.1972
Mean absolute error
0.1063
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8969
Per class
Predictive accuracy
0.896
Prior entropy
0.9898
Recall
0.896
Per class
Relative absolute error
0.2157
Root mean prior squared error
0.4964
Root mean squared error
0.3035
Root relative squared error
0.6113
SciMark benchmark
944.3832