DEVELOPMENT... OpenML
Run
123116

Run 123116

Task 3726 (Supervised Classification) sleuth_ex2016 Uploaded 17-12-2014 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)_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
0.6786
Per class
Build CPU time
2.5571
Build memory
732914725.0575
F measure
0.6435
Per class
Kappa
0.2859
KB relative information score
24.9001
Mean absolute error
0.3566
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6435
Per class
Predictive accuracy
0.6437
Prior entropy
0.9992
Recall
0.6437
Per class
Relative absolute error
0.7141
Root mean prior squared error
0.4997
Root mean squared error
0.5856
Root relative squared error
1.1719
SciMark benchmark
943.8134