DEVELOPMENT... OpenML
Run
123009

Run 123009

Task 3561 (Supervised Classification) profb Uploaded 16-12-2014 by Felicia West
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weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I80
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.6601
Per class
Build CPU time
88.6237
Build memory
696633556.6429
F measure
0.6555
Per class
Kappa
0.2267
KB relative information score
116.3465
Mean absolute error
0.3499
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6563
Per class
Predictive accuracy
0.6548
Prior entropy
0.9188
Recall
0.6548
Per class
Relative absolute error
0.7871
Root mean prior squared error
0.4714
Root mean squared error
0.5519
Root relative squared error
1.1707
SciMark benchmark
943.2074