DEVELOPMENT... OpenML
Run
29824

Run 29824

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)_I40
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
0.6205
Per class
Build CPU time
0.1525
Build memory
1028444208.3243
F measure
0.5735
Per class
Kappa
0.1013
KB relative information score
2.5797
Mean absolute error
0.2367
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
0.5427
Per class
Predictive accuracy
0.6081
Prior entropy
1.3842
Recall
0.6081
Per class
Relative absolute error
0.9395
Root mean prior squared error
0.3504
Root mean squared error
0.365
Root relative squared error
1.0417
SciMark benchmark
943.1417