Run
26774

Run 26774

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 08-10-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I20
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

17 Evaluation measures

Area under ROC curve
0.5006
Per class
Cross-validation details (33% Holdout set)
F measure
0.6356
Per class
Cross-validation details (33% Holdout set)
Kappa
0.0369
Cross-validation details (33% Holdout set)
KB relative information score
-0.9585
Cross-validation details (33% Holdout set)
Mean absolute error
0.2816
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2798
Cross-validation details (33% Holdout set)
Number of instances
29
Per class
Cross-validation details (33% Holdout set)
Precision
0.6211
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6897
Cross-validation details (33% Holdout set)
Prior entropy
1.0305
Cross-validation details (33% Holdout set)
Recall
0.6897
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0062
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3657
Cross-validation details (33% Holdout set)
Root mean squared error
0.3878
Cross-validation details (33% Holdout set)
Root relative squared error
1.0603
Cross-validation details (33% Holdout set)