DEVELOPMENT... OpenML
Run
54900

Run 54900

Task 2098 (Learning Curve) abalone Uploaded 10-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.NBTree(2)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.

19 Evaluation measures

Area under ROC curve
0.7104 ± 0.0102
Per class
Build CPU time
0.1764
Build memory
677197485.6615
Kappa
0.1471 ± 0.0158
KB relative information score
0.2389 ± 0.0151
Mean absolute error
0.0541 ± 0.0007
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2483 ± 0.0143
Prior entropy
3.6031 ± 0.0188
Recall
0.2483 ± 0.0143
Per class
Relative absolute error
0.875 ± 0.0113
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1857 ± 0.0024
Root relative squared error
1.057 ± 0.0139
SciMark benchmark
1606.2579