DEVELOPMENT... OpenML
Run
187172

Run 187172

Task 3544 (Supervised Classification) analcatdata_broadwaymult Uploaded 25-02-2015 by Felicia West
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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
0.765
Per class
F measure
0.4517
Per class
Kappa
0.3102
KB relative information score
76.8754
Mean absolute error
0.1849
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4535
Per class
Predictive accuracy
0.5018
Prior entropy
2.4897
Recall
0.5018
Per class
Relative absolute error
0.8394
Root mean prior squared error
0.3314
Root mean squared error
0.3048
Root relative squared error
0.9195
SciMark benchmark
1319.6463
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30