DEVELOPMENT... OpenML
Run
108764

Run 108764

Task 3759 (Supervised Classification) fri_c3_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)_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
0.9617
Per class
Build CPU time
0.6394
Build memory
440623578.4
F measure
0.89
Per class
Kappa
0.7767
KB relative information score
368.6107
Mean absolute error
0.1345
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
0.89
Per class
Predictive accuracy
0.89
Prior entropy
0.9897
Recall
0.89
Per class
Relative absolute error
0.2729
Root mean prior squared error
0.4964
Root mean squared error
0.2798
Root relative squared error
0.5637
SciMark benchmark
939.0159