DEVELOPMENT... OpenML
Run
108868

Run 108868

Task 3913 (Supervised Classification) kc2 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
0.7871
Per class
Build CPU time
0.3257
Build memory
24447300.7356
F measure
0.8215
Per class
Kappa
0.4315
KB relative information score
155.8805
Mean absolute error
0.2066
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8178
Per class
Predictive accuracy
0.8295
Prior entropy
0.734
Recall
0.8295
Per class
Relative absolute error
0.6327
Root mean prior squared error
0.4037
Root mean squared error
0.3479
Root relative squared error
0.8617
SciMark benchmark
920.7965