DEVELOPMENT... OpenML
Run
187326

Run 187326

Task 3700 (Supervised Classification) analcatdata_vehicle Uploaded 25-02-2015 by Felicia West
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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
0.9198
Per class
F measure
0.8754
Per class
Kappa
0.7487
KB relative information score
26.658
Mean absolute error
0.2344
Mean prior absolute error
0.4925
Number of instances
48
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8789
Per class
Predictive accuracy
0.875
Prior entropy
0.9896
Recall
0.875
Per class
Relative absolute error
0.476
Root mean prior squared error
0.4961
Root mean squared error
0.3295
Root relative squared error
0.6642
SciMark benchmark
1350.9691
UserCPU time millis
20
UserCPU time millis training
20