DEVELOPMENT... OpenML
Run
123464

Run 123464

Task 3500 (Supervised Classification) squash-unstored Uploaded 20-12-2014 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)_I40
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
0.759
Per class
Build CPU time
1.4615
Build memory
331805124.3077
F measure
0.6902
Per class
Kappa
0.4583
KB relative information score
25.881
Mean absolute error
0.1926
Mean prior absolute error
0.3823
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6904
Per class
Predictive accuracy
0.6923
Prior entropy
1.3486
Recall
0.6923
Per class
Relative absolute error
0.5039
Root mean prior squared error
0.4353
Root mean squared error
0.4283
Root relative squared error
0.984
SciMark benchmark
945.0532