DEVELOPMENT... OpenML
Run
95494

Run 95494

Task 3759 (Supervised Classification) fri_c3_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
0.8868
Per class
Build CPU time
0.0654
Build memory
705881668.8
F measure
0.819
Per class
Kappa
0.6315
KB relative information score
221.5587
Mean absolute error
0.2917
Mean prior absolute error
0.4928
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
0.8201
Per class
Predictive accuracy
0.82
Prior entropy
0.9897
Recall
0.82
Per class
Relative absolute error
0.5918
Root mean prior squared error
0.4964
Root mean squared error
0.3692
Root relative squared error
0.7437
SciMark benchmark
933.4176