DEVELOPMENT... OpenML
Run
108941

Run 108941

Task 241 (Supervised Classification) balance-scale 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)_I80
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
0.8757
Per class
Build CPU time
0.005
Build memory
239600104
F measure
0.6982
Per class
Kappa
0.5231
KB relative information score
56.1051
Mean absolute error
0.3093
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6627
Per class
Predictive accuracy
0.7379
Prior entropy
1.3212
Recall
0.7379
Per class
Relative absolute error
0.8019
Root mean prior squared error
0.4424
Root mean squared error
0.3649
Root relative squared error
0.825
SciMark benchmark
937.279