DEVELOPMENT... OpenML
Run
31597

Run 31597

Task 11 (Supervised Classification) balance-scale 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
0.9448
Per class
Build CPU time
0.5527
Build memory
178258390.5664
F measure
0.8189
Per class
Kappa
0.7031
KB relative information score
347.0587
Mean absolute error
0.1608
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8031
Per class
Predictive accuracy
0.8352
Prior entropy
1.3212
Recall
0.8352
Per class
Relative absolute error
0.4234
Root mean prior squared error
0.4356
Root mean squared error
0.2723
Root relative squared error
0.6251
SciMark benchmark
945.3663