DEVELOPMENT... OpenML
Run
95357

Run 95357

Task 3648 (Supervised Classification) fri_c3_100_10 Uploaded 08-12-2014 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)_I10
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
0.7406
Per class
Build CPU time
0.0061
Build memory
171669696.8
F measure
0.7264
Per class
Kappa
0.4255
KB relative information score
23.8041
Mean absolute error
0.3715
Mean prior absolute error
0.4804
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
0.7266
Per class
Predictive accuracy
0.73
Prior entropy
0.9721
Recall
0.73
Per class
Relative absolute error
0.7733
Root mean prior squared error
0.4899
Root mean squared error
0.4499
Root relative squared error
0.9183
SciMark benchmark
933.0871