DEVELOPMENT... OpenML
Run
28149

Run 28149

Task 4300 (Supervised Classification) visualizing_slope Uploaded 09-10-2014 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)_I20
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
0.9117
Per class
Build CPU time
0.0044
Build memory
51261442.2545
F measure
0.8662
Per class
Kappa
0.7152
KB relative information score
274.3473
Mean absolute error
0.1846
Mean prior absolute error
0.4753
Number of instances
440
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.869
Per class
Predictive accuracy
0.8682
Prior entropy
0.9656
Recall
0.8682
Per class
Relative absolute error
0.3883
Root mean prior squared error
0.4869
Root mean squared error
0.3165
Root relative squared error
0.65
SciMark benchmark
940.177