DEVELOPMENT... OpenML
Run
29796

Run 29796

Task 4561 (Supervised Classification) kdd_ipums_la_97-small Uploaded 12-10-2014 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
0.9693
Per class
Build CPU time
81.8318
Build memory
406146519.9095
F measure
0.9623
Per class
Kappa
0.9201
KB relative information score
60824.2657
Mean absolute error
0.069
Mean prior absolute error
0.466
Number of instances
70190
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9655
Per class
Predictive accuracy
0.962
Prior entropy
0.9504
Recall
0.962
Per class
Relative absolute error
0.148
Root mean prior squared error
0.4827
Root mean squared error
0.1857
Root relative squared error
0.3847
SciMark benchmark
943.9539