DEVELOPMENT... OpenML
Run
108630

Run 108630

Task 3620 (Supervised Classification) fri_c0_100_5 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
0.9312
Per class
Build CPU time
0.0412
Build memory
250909540.8
F measure
0.8185
Per class
Kappa
0.6341
KB relative information score
64.9254
Mean absolute error
0.1731
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.823
Per class
Predictive accuracy
0.82
Prior entropy
0.9956
Recall
0.82
Per class
Relative absolute error
0.3485
Root mean prior squared error
0.4984
Root mean squared error
0.3954
Root relative squared error
0.7934
SciMark benchmark
942.3919