DEVELOPMENT... OpenML
Run
155339

Run 155339

Task 1720 (Learning Curve) car Uploaded 10-02-2015 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
0.9871 ± 0.0059
Per class
F measure
0.9345 ± 0.0179
Per class
Kappa
0.8576 ± 0.0388
KB relative information score
0.767 ± 0.0258
Mean absolute error
0.0693 ± 0.0055
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9354 ± 0.0178
Per class
Predictive accuracy
0.934 ± 0.0179
Prior entropy
1.2058 ± 0.0093
Recall
0.934 ± 0.0179
Per class
Relative absolute error
0.3025 ± 0.0245
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1643 ± 0.0127
Root relative squared error
0.4858 ± 0.038
SciMark benchmark
642.8724
UserCPU time millis
1000
UserCPU time millis testing
40
UserCPU time millis training
960