DEVELOPMENT... OpenML
Run
30201

Run 30201

Task 270 (Supervised Classification) glass 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)_I80
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
0.898
Per class
Build CPU time
0.215
Build memory
78502568
F measure
0.7594
Per class
Kappa
0.6719
KB relative information score
42.8079
Mean absolute error
0.1141
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7749
Per class
Predictive accuracy
0.7571
Prior entropy
2.2315
Recall
0.7571
Per class
Relative absolute error
0.5365
Root mean prior squared error
0.3261
Root mean squared error
0.2376
Root relative squared error
0.7285
SciMark benchmark
941.0097