DEVELOPMENT... OpenML
Run
108862

Run 108862

Task 3909 (Supervised Classification) ar1 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
0.7817
Per class
Build CPU time
0.1005
Build memory
264541981.0909
F measure
0.8978
Per class
Kappa
0.1345
KB relative information score
9.7097
Mean absolute error
0.0897
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8877
Per class
Predictive accuracy
0.9174
Prior entropy
0.4067
Recall
0.9174
Per class
Relative absolute error
0.6249
Root mean prior squared error
0.2625
Root mean squared error
0.2894
Root relative squared error
1.1024
SciMark benchmark
934.2858