Run
254393

Run 254393

Task 1767 (Supervised Classification) kr-vs-kp Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.HNB(6)H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.

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
0.9808
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9202
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8399
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
11112.2608
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1675
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
15980
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9216
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9203
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9203
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.3357
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2534
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.5073
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1315.933
UserCPU time millis
110
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (5 times 2-fold Crossvalidation)