DEVELOPMENT... OpenML
Run
175888

Run 175888

Task 43 (Supervised Classification) spambase Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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
0.9583
Per class
F measure
0.9372
Per class
Kappa
0.8685
KB relative information score
3881.6038
Mean absolute error
0.0765
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9372
Per class
Predictive accuracy
0.9372
Prior entropy
0.9674
Recall
0.9372
Per class
Relative absolute error
0.1602
Root mean prior squared error
0.4886
Root mean squared error
0.2362
Root relative squared error
0.4833
SciMark benchmark
1341.2341
UserCPU time millis
1140
UserCPU time millis testing
10
UserCPU time millis training
1130