DEVELOPMENT... OpenML
Run
109066

Run 109066

Task 3923 (Supervised Classification) datatrieve 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
0.7384
Per class
Build CPU time
0.0318
Build memory
23751050.4
F measure
0.8688
Per class
Kappa
0.0616
KB relative information score
-1.6166
Mean absolute error
0.1165
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8557
Per class
Predictive accuracy
0.8846
Prior entropy
0.4395
Recall
0.8846
Per class
Relative absolute error
0.7278
Root mean prior squared error
0.2784
Root mean squared error
0.3288
Root relative squared error
1.1812
SciMark benchmark
945.5885