DEVELOPMENT... OpenML
Run
95615

Run 95615

Task 3559 (Supervised Classification) confidence 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
0.7611
Per class
Build CPU time
0.001
Build memory
696697144
F measure
0.2
Per class
Kappa
0.1333
KB relative information score
27.4752
Mean absolute error
0.2232
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1786
Per class
Predictive accuracy
0.2778
Prior entropy
2.585
Recall
0.2778
Per class
Relative absolute error
0.8035
Root mean prior squared error
0.3727
Root mean squared error
0.3349
Root relative squared error
0.8986
SciMark benchmark
945.1122