DEVELOPMENT... OpenML
Run
155775

Run 155775

Task 2094 (Learning Curve) adult 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
0.8965 ± 0.0049
Per class
F measure
0.8461 ± 0.0048
Per class
Kappa
0.5681 ± 0.0139
KB relative information score
0.4805 ± 0.0184
Mean absolute error
0.1743 ± 0.0059
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8445 ± 0.005
Per class
Predictive accuracy
0.8499 ± 0.0046
Prior entropy
0.7938 ± 0.0002
Recall
0.8499 ± 0.0046
Per class
Relative absolute error
0.4787 ± 0.0163
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.335 ± 0.0037
Root relative squared error
0.7853 ± 0.0087
SciMark benchmark
642.8724
UserCPU time millis
52510
UserCPU time millis testing
910
UserCPU time millis training
51600