Run
385658

Run 385658

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 04-04-2015 by Joaquin Vanschoren
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Flow

weka.A2DE(3)Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.
weka.A2DE(3)_F1
weka.A2DE(3)_M1.0

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.

22 Evaluation measures

Area under ROC curve
0.4702
Per class
Cross-validation details (33% Holdout set)
F measure
0.5352
Per class
Cross-validation details (33% Holdout set)
Kappa
-0.2254
Cross-validation details (33% Holdout set)
KB relative information score
-1.4395
Cross-validation details (33% Holdout set)
Mean absolute error
0.2804
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)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4924
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5862
Cross-validation details (33% Holdout set)
Prior entropy
1.0305
Cross-validation details (33% Holdout set)
Recall
0.5862
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.002
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3657
Cross-validation details (33% Holdout set)
Root mean squared error
0.4053
Cross-validation details (33% Holdout set)
Root relative squared error
1.1082
Cross-validation details (33% Holdout set)
SciMark benchmark
926.8585
UserCPU time millis
10
UserCPU time millis training
10