DEVELOPMENT... OpenML
Run
155454

Run 155454

Task 1752 (Learning Curve) vehicle Uploaded 11-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.8807 ± 0.024
Per class
F measure
0.6896 ± 0.0399
Per class
Kappa
0.5838 ± 0.0507
KB relative information score
0.6022 ± 0.0363
Mean absolute error
0.1751 ± 0.0137
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.692 ± 0.0395
Per class
Predictive accuracy
0.6879 ± 0.0378
Prior entropy
1.9991 ± 0.0005
Recall
0.6879 ± 0.0378
Per class
Relative absolute error
0.4673 ± 0.0365
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3251 ± 0.0206
Root relative squared error
0.7509 ± 0.0475
SciMark benchmark
646.4525
UserCPU time millis
5350
UserCPU time millis testing
50
UserCPU time millis training
5300