DEVELOPMENT... OpenML
Run
156868

Run 156868

Task 1711 (Learning Curve) mfeat-factors 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
0.9574 ± 0.0081
Per class
F measure
0.879 ± 0.0238
Per class
Kappa
0.8644 ± 0.0257
KB relative information score
0.8571 ± 0.0218
Mean absolute error
0.0308 ± 0.0043
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8827 ± 0.0213
Per class
Predictive accuracy
0.878 ± 0.0231
Prior entropy
3.3219
Recall
0.878 ± 0.0231
Per class
Relative absolute error
0.1711 ± 0.0237
Root mean prior squared error
0.3
Root mean squared error
0.1424 ± 0.0122
Root relative squared error
0.4746 ± 0.0408
SciMark benchmark
639.2945
UserCPU time millis
2198050
UserCPU time millis testing
8770
UserCPU time millis training
2189280