DEVELOPMENT... OpenML
Run
187201

Run 187201

Task 3574 (Supervised Classification) rmftsa_sleepdata 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
0.6706
Per class
F measure
0.4174
Per class
Kappa
0.2397
KB relative information score
171.9175
Mean absolute error
0.3138
Mean prior absolute error
0.3514
Number of instances
1024
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4062
Per class
Predictive accuracy
0.5
Prior entropy
1.8507
Recall
0.5
Per class
Relative absolute error
0.8928
Root mean prior squared error
0.4191
Root mean squared error
0.3976
Root relative squared error
0.9487
SciMark benchmark
1250.8301
UserCPU time millis
60
UserCPU time millis training
60