DEVELOPMENT... OpenML
Run
95539

Run 95539

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9751
Per class
Build CPU time
0.003
Build memory
564161978.9091
F measure
0.9465
Per class
Kappa
0.8814
KB relative information score
107.2551
Mean absolute error
0.0886
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9472
Per class
Predictive accuracy
0.947
Prior entropy
0.9347
Recall
0.947
Per class
Relative absolute error
0.1948
Root mean prior squared error
0.4765
Root mean squared error
0.217
Root relative squared error
0.4553
SciMark benchmark
945.4151