DEVELOPMENT... OpenML
Run
124739

Run 124739

Task 3610 (Supervised Classification) fri_c3_250_5 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
0.935
Per class
Build CPU time
1.917
Build memory
566484387.2
F measure
0.8596
Per class
Kappa
0.7138
KB relative information score
167.8721
Mean absolute error
0.1656
Mean prior absolute error
0.4919
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8599
Per class
Predictive accuracy
0.86
Prior entropy
0.9883
Recall
0.86
Per class
Relative absolute error
0.3366
Root mean prior squared error
0.4959
Root mean squared error
0.3277
Root relative squared error
0.6609
SciMark benchmark
872.1114