DEVELOPMENT... OpenML
Run
147359

Run 147359

Task 3809 (Supervised Classification) visualizing_ethanol 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)_I10
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
0.4687
Per class
F measure
0.4312
Per class
Kappa
-0.1346
KB relative information score
-5.281
Mean absolute error
0.5255
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4324
Per class
Predictive accuracy
0.4318
Prior entropy
0.9996
Recall
0.4318
Per class
Relative absolute error
1.0516
Root mean prior squared error
0.4999
Root mean squared error
0.6331
Root relative squared error
1.2665
SciMark benchmark
945.6434
UserCPU time millis
10
UserCPU time millis testing
10