DEVELOPMENT... OpenML
Run
109061

Run 109061

Task 3743 (Supervised Classification) fri_c2_500_25 Uploaded 09-12-2014 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)_I80
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
0.9548
Per class
Build CPU time
0.3297
Build memory
120702419.2
F measure
0.8973
Per class
Kappa
0.7835
KB relative information score
347.8033
Mean absolute error
0.1521
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
0.8979
Per class
Predictive accuracy
0.898
Prior entropy
0.9664
Recall
0.898
Per class
Relative absolute error
0.319
Root mean prior squared error
0.4882
Root mean squared error
0.2829
Root relative squared error
0.5795
SciMark benchmark
934.2858