DEVELOPMENT... OpenML
Run
122861

Run 122861

Task 285 (Supervised Classification) vote Uploaded 15-12-2014 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
0.9807
Per class
Build CPU time
14.731
Build memory
1312681584
F measure
0.9582
Per class
Kappa
0.912
KB relative information score
130.5197
Mean absolute error
0.0396
Mean prior absolute error
0.4739
Number of instances
143
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9587
Per class
Predictive accuracy
0.958
Prior entropy
0.9627
Recall
0.958
Per class
Relative absolute error
0.0835
Root mean prior squared error
0.4865
Root mean squared error
0.1937
Root relative squared error
0.3982
SciMark benchmark
942.7834