DEVELOPMENT... OpenML
Run
32705

Run 32705

Task 2273 (Supervised Classification) meta_batchincremental.arff 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)_I160
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
0.6573
Per class
Build CPU time
0.5224
Build memory
712548854.9189
F measure
0.5931
Per class
Kappa
0.1388
KB relative information score
5.6368
Mean absolute error
0.2266
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5569
Per class
Predictive accuracy
0.6351
Prior entropy
1.3842
Recall
0.6351
Per class
Relative absolute error
0.8994
Root mean prior squared error
0.3504
Root mean squared error
0.3561
Root relative squared error
1.0163
SciMark benchmark
947.3799