DEVELOPMENT... OpenML
Run
28837

Run 28837

Task 3612 (Supervised Classification) fri_c1_250_25 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)_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
0.9464
Per class
Build CPU time
0.2274
Build memory
1895601358.4
F measure
0.9078
Per class
Kappa
0.8114
KB relative information score
158.5972
Mean absolute error
0.1964
Mean prior absolute error
0.4897
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
0.9079
Per class
Predictive accuracy
0.908
Prior entropy
0.9852
Recall
0.908
Per class
Relative absolute error
0.4011
Root mean prior squared error
0.4948
Root mean squared error
0.29
Root relative squared error
0.5862
SciMark benchmark
897.1209