DEVELOPMENT... OpenML
Run
29317

Run 29317

Task 3695 (Supervised Classification) fri_c2_250_10 Uploaded 11-10-2014 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
0.9479
Per class
Build CPU time
0.0571
Build memory
2706534836.8
F measure
0.8988
Per class
Kappa
0.7794
KB relative information score
174.2454
Mean absolute error
0.1487
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9001
Per class
Predictive accuracy
0.9
Prior entropy
0.9468
Recall
0.9
Per class
Relative absolute error
0.3209
Root mean prior squared error
0.4812
Root mean squared error
0.2781
Root relative squared error
0.5779
SciMark benchmark
939.9212