DEVELOPMENT... OpenML
Run
95208

Run 95208

Task 3613 (Supervised Classification) servo 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
0.9649
Per class
Build CPU time
0.0035
Build memory
124285931.2575
F measure
0.9313
Per class
Kappa
0.8161
KB relative information score
117.6114
Mean absolute error
0.099
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9454
Per class
Predictive accuracy
0.9281
Prior entropy
0.7794
Recall
0.9281
Per class
Relative absolute error
0.2804
Root mean prior squared error
0.4193
Root mean squared error
0.2335
Root relative squared error
0.557
SciMark benchmark
933.0871