DEVELOPMENT... OpenML
Run
27434

Run 27434

Task 4437 (Supervised Classification) fri_c4_100_25 Uploaded 08-10-2014 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)_I20
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
0.8682
Per class
Build CPU time
0.0292
Build memory
1631117878.24
F measure
0.7834
Per class
Kappa
0.5634
KB relative information score
378.8969
Mean absolute error
0.3256
Mean prior absolute error
0.4969
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7866
Per class
Predictive accuracy
0.785
Prior entropy
0.9956
Recall
0.785
Per class
Relative absolute error
0.6552
Root mean prior squared error
0.4984
Root mean squared error
0.3881
Root relative squared error
0.7788
SciMark benchmark
950.1453