DEVELOPMENT... OpenML
Run
95465

Run 95465

Task 3494 (Supervised Classification) monks-problems-3 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
0.9833
Per class
Build CPU time
0.007
Build memory
872001173.5307
F measure
0.9567
Per class
Kappa
0.9132
KB relative information score
451.5305
Mean absolute error
0.1058
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9567
Per class
Predictive accuracy
0.9567
Prior entropy
0.9989
Recall
0.9567
Per class
Relative absolute error
0.212
Root mean prior squared error
0.4996
Root mean squared error
0.1928
Root relative squared error
0.3859
SciMark benchmark
934.4754