DEVELOPMENT... OpenML
Run
108560

Run 108560

Task 3494 (Supervised Classification) monks-problems-3 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
0.9832
Per class
Build CPU time
0.0842
Build memory
921417908.7798
F measure
0.9548
Per class
Kappa
0.9095
KB relative information score
466.4219
Mean absolute error
0.089
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
0.9551
Per class
Predictive accuracy
0.9549
Prior entropy
0.9989
Recall
0.9549
Per class
Relative absolute error
0.1784
Root mean prior squared error
0.4996
Root mean squared error
0.187
Root relative squared error
0.3744
SciMark benchmark
919.8064