DEVELOPMENT... OpenML
Run
95376

Run 95376

Task 3916 (Supervised Classification) kc1-binary 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
0.746
Per class
Build CPU time
0.0416
Build memory
288759183.5034
F measure
0.6429
Per class
Kappa
0.2586
KB relative information score
41.3156
Mean absolute error
0.3444
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6425
Per class
Predictive accuracy
0.6483
Prior entropy
0.979
Recall
0.6483
Per class
Relative absolute error
0.7096
Root mean prior squared error
0.4925
Root mean squared error
0.4639
Root relative squared error
0.942
SciMark benchmark
943.0033