DEVELOPMENT... OpenML
Run
60528

Run 60528

Task 1817 (Supervised Classification) vehicle Uploaded 16-11-2014 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)_I10
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
0.8014
Per class
Build CPU time
0.0024
Build memory
1190637299.2
F measure
0.4881
Per class
Kappa
0.3491
KB relative information score
1085.8097
Mean absolute error
0.3214
Mean prior absolute error
0.3748
Number of instances
4230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5686
Per class
Predictive accuracy
0.5087
Prior entropy
1.9991
Recall
0.5087
Per class
Relative absolute error
0.8574
Root mean prior squared error
0.4329
Root mean squared error
0.3913
Root relative squared error
0.9039
SciMark benchmark
944.3501