DEVELOPMENT... OpenML
Run
48854

Run 48854

Task 1742 (Learning Curve) spambase Uploaded 06-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.DecisionStump(2)Weka implementation of DecisionStump

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.

21 Evaluation measures

Area under ROC curve
0.7669 ± 0.0236
Per class
Build CPU time
0.0102
Build memory
2636988896.6286
F measure
0.7779 ± 0.0187
Per class
Kappa
0.5296 ± 0.0383
KB relative information score
0.3534 ± 0.0232
Mean absolute error
0.3267 ± 0.0093
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.788 ± 0.018
Per class
Predictive accuracy
0.7853 ± 0.017
Prior entropy
0.9674 ± 0.0006
Recall
0.7853 ± 0.017
Per class
Relative absolute error
0.6842 ± 0.0196
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.4074 ± 0.0108
Root relative squared error
0.8338 ± 0.0223
SciMark benchmark
1445.6628