DEVELOPMENT... OpenML
Run
30631

Run 30631

Task 3917 (Supervised Classification) kc1 Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I80
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8344
Per class
Build CPU time
4.4564
Build memory
895326576.4286
F measure
0.846
Per class
Kappa
0.3527
KB relative information score
285.4128
Mean absolute error
0.1923
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8461
Per class
Predictive accuracy
0.8658
Prior entropy
0.622
Recall
0.8658
Per class
Relative absolute error
0.7352
Root mean prior squared error
0.3615
Root mean squared error
0.3175
Root relative squared error
0.8783
SciMark benchmark
943.1156