Run
327195

Run 327195

Task 3705 (Supervised Classification) autoHorse Uploaded 26-03-2015 by Joaquin Vanschoren
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8972
Cross-validation details (10-fold Crossvalidation)
KB relative information score
183.6122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0502
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9512
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10-fold Crossvalidation)
Recall
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4096
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1365.0842
UserCPU time millis
600
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
600
Cross-validation details (10-fold Crossvalidation)