DEVELOPMENT... OpenML
Run
95452

Run 95452

Task 4001 (Supervised Classification) pc1_req 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
0.612
Per class
Build CPU time
0.0076
Build memory
223394260
F measure
0.5874
Per class
Kappa
0.0828
KB relative information score
6.3601
Mean absolute error
0.4313
Mean prior absolute error
0.4455
Number of instances
320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6622
Per class
Predictive accuracy
0.6781
Prior entropy
0.9204
Recall
0.6781
Per class
Relative absolute error
0.9681
Root mean prior squared error
0.4718
Root mean squared error
0.462
Root relative squared error
0.9792
SciMark benchmark
943.0033