DEVELOPMENT... OpenML
Run
95416

Run 95416

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7778
Per class
Build CPU time
0.004
Build memory
78987322.2989
F measure
0.6777
Per class
Kappa
0.3545
KB relative information score
29.8425
Mean absolute error
0.3299
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.678
Per class
Predictive accuracy
0.6782
Prior entropy
0.9992
Recall
0.6782
Per class
Relative absolute error
0.6606
Root mean prior squared error
0.4997
Root mean squared error
0.4596
Root relative squared error
0.9197
SciMark benchmark
945.1122