DEVELOPMENT... OpenML
Run
26782

Run 26782

Task 9 (Supervised Classification) autos 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
0.9538
Per class
Build CPU time
0.0586
Build memory
151085688.1171
F measure
0.8207
Per class
Kappa
0.7637
KB relative information score
140.8825
Mean absolute error
0.0907
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8309
Per class
Predictive accuracy
0.8195
Prior entropy
2.3268
Recall
0.8195
Per class
Relative absolute error
0.4104
Root mean prior squared error
0.3318
Root mean squared error
0.1983
Root relative squared error
0.5978
SciMark benchmark
945.209