DEVELOPMENT... OpenML
Run
63711

Run 63711

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 17-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I80
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
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
0.4899
Per class
Build CPU time
0.0141
Build memory
2630522045.6364
F measure
0.4884
Per class
Kappa
-0.0217
KB relative information score
-0.8651
Mean absolute error
0.5043
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4894
Per class
Predictive accuracy
0.4886
Prior entropy
0.9996
Recall
0.4886
Per class
Relative absolute error
1.0091
Root mean prior squared error
0.4999
Root mean squared error
0.5176
Root relative squared error
1.0354
SciMark benchmark
942.9616