DEVELOPMENT... OpenML
Run
108525

Run 108525

Task 2125 (Supervised Classification) eucalyptus 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
0.7542
Per class
Build CPU time
0.012
Build memory
49016128
F measure
0.3377
Per class
Kappa
0.2912
KB relative information score
78.1447
Mean absolute error
0.247
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2608
Per class
Predictive accuracy
0.4835
Prior entropy
2.2629
Recall
0.4835
Per class
Relative absolute error
0.7883
Root mean prior squared error
0.3959
Root mean squared error
0.3521
Root relative squared error
0.8893
SciMark benchmark
937.5625

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