DEVELOPMENT... OpenML
Run
187348

Run 187348

Task 3711 (Supervised Classification) elevators 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
0.8126
Per class
F measure
0.7779
Per class
Kappa
0.4764
KB relative information score
6977.612
Mean absolute error
0.2355
Mean prior absolute error
0.4271
Number of instances
16599
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7767
Per class
Predictive accuracy
0.7796
Prior entropy
0.8921
Recall
0.7796
Per class
Relative absolute error
0.5515
Root mean prior squared error
0.4621
Root mean squared error
0.4311
Root relative squared error
0.9329
SciMark benchmark
1372.2145
UserCPU time millis
9660
UserCPU time millis testing
180
UserCPU time millis training
9480