DEVELOPMENT... OpenML
Run
55767

Run 55767

Task 3561 (Supervised Classification) profb Uploaded 12-11-2014 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)_I80
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
0.6839
Per class
Build CPU time
98.7163
Build memory
912869779.881
F measure
0.6775
Per class
Kappa
0.2554
KB relative information score
96.4972
Mean absolute error
0.3749
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6759
Per class
Predictive accuracy
0.6935
Prior entropy
0.9188
Recall
0.6935
Per class
Relative absolute error
0.8432
Root mean prior squared error
0.4714
Root mean squared error
0.4564
Root relative squared error
0.9682
SciMark benchmark
941.4059