DEVELOPMENT... OpenML
Run
29381

Run 29381

Task 3705 (Supervised Classification) autoHorse Uploaded 11-10-2014 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
0.9967
Per class
Build CPU time
0.112
Build memory
4365264459.0439
F measure
0.9556
Per class
Kappa
0.9073
KB relative information score
173.4128
Mean absolute error
0.0825
Mean prior absolute error
0.4821
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
0.9591
Per class
Predictive accuracy
0.9561
Prior entropy
0.9742
Recall
0.9561
Per class
Relative absolute error
0.1712
Root mean prior squared error
0.4909
Root mean squared error
0.1732
Root relative squared error
0.3528
SciMark benchmark
907.711