DEVELOPMENT... OpenML
Run
29102

Run 29102

Task 3913 (Supervised Classification) kc2 Uploaded 10-10-2014 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
0.8237
Per class
Build CPU time
0.4856
Build memory
362216186.1609
F measure
0.8229
Per class
Kappa
0.4269
KB relative information score
145.6014
Mean absolute error
0.2137
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8208
Per class
Predictive accuracy
0.8352
Prior entropy
0.734
Recall
0.8352
Per class
Relative absolute error
0.6543
Root mean prior squared error
0.4037
Root mean squared error
0.3386
Root relative squared error
0.8388
SciMark benchmark
909.091