DEVELOPMENT... OpenML
Run
147379

Run 147379

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 02-02-2015 by Felicia West
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Flow

weka.Bagging_IBk(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(2)_I40
weka.Bagging_IBk(2)_P100
weka.Bagging_IBk(2)_S1
weka.Bagging_IBk(2)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(2)_num-slots1
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

22 Evaluation measures

Area under ROC curve
0.9798
Per class
F measure
0.9764
Per class
Kappa
0.7985
KB relative information score
9791.3846
Mean absolute error
0.025
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9768
Per class
Predictive accuracy
0.9762
Prior entropy
0.3338
Recall
0.9762
Per class
Relative absolute error
0.2161
Root mean prior squared error
0.2403
Root mean squared error
0.1279
Root relative squared error
0.5322
SciMark benchmark
932.3943
UserCPU time millis
8047440
UserCPU time millis testing
8047280
UserCPU time millis training
160