DEVELOPMENT... OpenML
Run
187334

Run 187334

Task 3705 (Supervised Classification) autoHorse 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
0.9845
Per class
F measure
0.9508
Per class
Kappa
0.8972
KB relative information score
183.6122
Mean absolute error
0.0502
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9534
Per class
Predictive accuracy
0.9512
Prior entropy
0.9742
Recall
0.9512
Per class
Relative absolute error
0.1042
Root mean prior squared error
0.4909
Root mean squared error
0.201
Root relative squared error
0.4096
SciMark benchmark
1372.2145
UserCPU time millis
560
UserCPU time millis training
560