DEVELOPMENT... OpenML
Run
108622

Run 108622

Task 3602 (Supervised Classification) visualizing_environmental 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
0.7428
Per class
Build CPU time
0.0273
Build memory
139608297.7297
F measure
0.6657
Per class
Kappa
0.3368
KB relative information score
34.6022
Mean absolute error
0.3483
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6736
Per class
Predictive accuracy
0.6667
Prior entropy
0.9986
Recall
0.6667
Per class
Relative absolute error
0.698
Root mean prior squared error
0.4995
Root mean squared error
0.4725
Root relative squared error
0.9459
SciMark benchmark
942.3919