DEVELOPMENT... OpenML
Run
64433

Run 64433

Task 3676 (Supervised Classification) rmftsa_ctoarrivals 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)_I160
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
0.9695
Per class
Build CPU time
0.0231
Build memory
517892757.7879
F measure
0.9508
Per class
Kappa
0.896
KB relative information score
172.5069
Mean absolute error
0.1844
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9509
Per class
Predictive accuracy
0.9508
Prior entropy
0.9604
Recall
0.9508
Per class
Relative absolute error
0.3902
Root mean prior squared error
0.486
Root mean squared error
0.2607
Root relative squared error
0.5364
SciMark benchmark
939.0518