DEVELOPMENT... OpenML
Run
108503

Run 108503

Task 1819 (Supervised Classification) vote 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
0.9766
Per class
Build CPU time
0.066
Build memory
55739690.9241
F measure
0.9504
Per class
Kappa
0.8956
KB relative information score
1928.7349
Mean absolute error
0.0529
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
0.9506
Per class
Predictive accuracy
0.9503
Prior entropy
0.9627
Recall
0.9503
Per class
Relative absolute error
0.1116
Root mean prior squared error
0.4869
Root mean squared error
0.2186
Root relative squared error
0.4489
SciMark benchmark
937.5625