DEVELOPMENT... OpenML
Run
46612

Run 46612

Task 3917 (Supervised Classification) kc1 Uploaded 03-11-2014 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)_I160
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
0.8356
Per class
Build CPU time
399.3677
Build memory
580994294.513
F measure
0.8461
Per class
Kappa
0.3593
KB relative information score
268.4016
Mean absolute error
0.1892
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
0.8434
Per class
Predictive accuracy
0.863
Prior entropy
0.622
Recall
0.863
Per class
Relative absolute error
0.7234
Root mean prior squared error
0.3615
Root mean squared error
0.3158
Root relative squared error
0.8736
SciMark benchmark
944.2424