Run
159094

Run 159094

Task 2102 (Learning Curve) eucalyptus Uploaded 12-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

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
0.83 ± 0.0275
Per class
F measure
0.5859 ± 0.0638
Per class
Kappa
0.4737 ± 0.0626
KB relative information score
0.4387 ± 0.0496
Mean absolute error
0.1998 ± 0.0135
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.605 ± 0.079
Per class
Predictive accuracy
0.5978 ± 0.0446
Prior entropy
2.2621 ± 0.0043
Recall
0.5978 ± 0.0446
Per class
Relative absolute error
0.6377 ± 0.0427
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3292 ± 0.0159
Root relative squared error
0.8318 ± 0.0398
SciMark benchmark
642.8724
UserCPU time millis
240
UserCPU time millis training
240