DEVELOPMENT... OpenML
Run
58646

Run 58646

Task 3917 (Supervised Classification) kc1 Uploaded 15-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I20
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8235
Per class
Build CPU time
44.7772
Build memory
801139118.1034
F measure
0.8507
Per class
Kappa
0.382
KB relative information score
276.864
Mean absolute error
0.1878
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.848
Per class
Predictive accuracy
0.8658
Prior entropy
0.622
Recall
0.8658
Per class
Relative absolute error
0.718
Root mean prior squared error
0.3615
Root mean squared error
0.3202
Root relative squared error
0.8857
SciMark benchmark
942.9616