DEVELOPMENT... OpenML
Run
95190

Run 95190

Task 1819 (Supervised Classification) vote 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
0.9847
Per class
Build CPU time
0.0068
Build memory
86661240.868
F measure
0.9482
Per class
Kappa
0.8909
KB relative information score
1913.0794
Mean absolute error
0.0578
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9485
Per class
Predictive accuracy
0.948
Prior entropy
0.9627
Recall
0.948
Per class
Relative absolute error
0.1219
Root mean prior squared error
0.4869
Root mean squared error
0.1976
Root relative squared error
0.4059
SciMark benchmark
945.1122