DEVELOPMENT... OpenML
Run
95102

Run 95102

Task 3599 (Supervised Classification) machine_cpu Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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.AdaBoostM1_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9692
Per class
Build CPU time
0.0053
Build memory
106073876.8612
F measure
0.9288
Per class
Kappa
0.8201
KB relative information score
163.547
Mean absolute error
0.0777
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9298
Per class
Predictive accuracy
0.9282
Prior entropy
0.8417
Recall
0.9282
Per class
Relative absolute error
0.1976
Root mean prior squared error
0.4429
Root mean squared error
0.2203
Root relative squared error
0.4975
SciMark benchmark
930.1524