DEVELOPMENT... OpenML
Run
59611

Run 59611

Task 3612 (Supervised Classification) fri_c1_250_25 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)_I10
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
0.932
Per class
Build CPU time
1.5775
Build memory
466197906.4
F measure
0.8679
Per class
Kappa
0.7301
KB relative information score
141.7461
Mean absolute error
0.2282
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
0.8679
Per class
Predictive accuracy
0.868
Prior entropy
0.9852
Recall
0.868
Per class
Relative absolute error
0.4659
Root mean prior squared error
0.4948
Root mean squared error
0.3186
Root relative squared error
0.6439
SciMark benchmark
938.259