DEVELOPMENT... OpenML
Run
32139

Run 32139

Task 4200 (Supervised Classification) SPECT 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)_I160
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
0.8097
Per class
Build CPU time
0.2357
Build memory
146365605.8697
F measure
0.8156
Per class
Kappa
0.4081
KB relative information score
571.9474
Mean absolute error
0.2378
Mean prior absolute error
0.3284
Number of instances
2670
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8121
Per class
Predictive accuracy
0.827
Prior entropy
0.738
Recall
0.827
Per class
Relative absolute error
0.724
Root mean prior squared error
0.4044
Root mean squared error
0.3529
Root relative squared error
0.8726
SciMark benchmark
927.8052