DEVELOPMENT... OpenML
Run
142565

Run 142565

Task 3891 (Supervised Classification) gina_agnostic Uploaded 21-01-2015 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)_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
0.9771
Per class
Build CPU time
254561.2281
Build memory
463873204.9827
F measure
0.9337
Per class
Kappa
0.8673
KB relative information score
3010.6485
Mean absolute error
0.066
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9338
Per class
Predictive accuracy
0.9337
Prior entropy
0.9998
Recall
0.9337
Per class
Relative absolute error
0.132
Root mean prior squared error
0.4999
Root mean squared error
0.2412
Root relative squared error
0.4826
SciMark benchmark
864.1117