DEVELOPMENT... OpenML
Run
124421

Run 124421

Task 3923 (Supervised Classification) datatrieve Uploaded 23-12-2014 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)_I20
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
0.7204
Per class
Build CPU time
1.1873
Build memory
85286477.6
F measure
0.8812
Per class
Kappa
0.1674
KB relative information score
2.7969
Mean absolute error
0.113
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8726
Per class
Predictive accuracy
0.8923
Prior entropy
0.4395
Recall
0.8923
Per class
Relative absolute error
0.7054
Root mean prior squared error
0.2784
Root mean squared error
0.3251
Root relative squared error
1.1679
SciMark benchmark
872.1114