DEVELOPMENT... OpenML
Run
31100

Run 31100

Task 3762 (Supervised Classification) analcatdata_negotiation 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
0.8829
Per class
Build CPU time
0.0309
Build memory
2293157956.3478
F measure
0.8379
Per class
Kappa
0.6025
KB relative information score
45.6385
Mean absolute error
0.2006
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.839
Per class
Predictive accuracy
0.837
Prior entropy
0.8651
Recall
0.837
Per class
Relative absolute error
0.4923
Root mean prior squared error
0.4503
Root mean squared error
0.3299
Root relative squared error
0.7327
SciMark benchmark
945.2315