DEVELOPMENT... OpenML
Run
95445

Run 95445

Task 3743 (Supervised Classification) fri_c2_500_25 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
0.8968
Per class
Build CPU time
0.0628
Build memory
83367467.2
F measure
0.8252
Per class
Kappa
0.632
KB relative information score
224.1314
Mean absolute error
0.2782
Mean prior absolute error
0.4768
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
0.825
Per class
Predictive accuracy
0.826
Prior entropy
0.9664
Recall
0.826
Per class
Relative absolute error
0.5835
Root mean prior squared error
0.4882
Root mean squared error
0.3537
Root relative squared error
0.7246
SciMark benchmark
945.4151