DEVELOPMENT... OpenML
Run
108632

Run 108632

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9979
Per class
Build CPU time
0.8218
Build memory
66157334.5548
F measure
0.9921
Per class
Kappa
0.9782
KB relative information score
3926.4727
Mean absolute error
0.0106
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9921
Per class
Predictive accuracy
0.9921
Prior entropy
0.7946
Recall
0.9921
Per class
Relative absolute error
0.029
Root mean prior squared error
0.4269
Root mean squared error
0.0827
Root relative squared error
0.1938
SciMark benchmark
926.7725