DEVELOPMENT... OpenML
Run
108807

Run 108807

Task 3783 (Supervised Classification) fri_c2_500_50 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)_I160
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
0.9572
Per class
Build CPU time
1.4263
Build memory
732242404
F measure
0.8813
Per class
Kappa
0.7537
KB relative information score
368.3232
Mean absolute error
0.1289
Mean prior absolute error
0.4839
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
0.8819
Per class
Predictive accuracy
0.882
Prior entropy
0.9767
Recall
0.882
Per class
Relative absolute error
0.2664
Root mean prior squared error
0.4918
Root mean squared error
0.2912
Root relative squared error
0.592
SciMark benchmark
916.8903