DEVELOPMENT... OpenML
Run
124467

Run 124467

Task 47 (Supervised Classification) tae Uploaded 24-12-2014 by Felicia West
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Flow

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)_I10
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
0.715
Per class
Build CPU time
0.334
Build memory
60679594.755
F measure
0.5386
Per class
Kappa
0.3053
KB relative information score
36.3058
Mean absolute error
0.3723
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.5518
Per class
Predictive accuracy
0.5364
Prior entropy
1.5845
Recall
0.5364
Per class
Relative absolute error
0.8379
Root mean prior squared error
0.4713
Root mean squared error
0.4391
Root relative squared error
0.9315
SciMark benchmark
872.1114