DEVELOPMENT... OpenML
Run
54680

Run 54680

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 09-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.PART(2)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(2)_C0.25
weka.PART(2)_M2
weka.PART(2)_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.

21 Evaluation measures

Area under ROC curve
0.9205 ± 0.0149
Per class
Build CPU time
0.1219
Build memory
180920172.4364
F measure
0.848 ± 0.0237
Per class
Kappa
0.8311 ± 0.0265
KB relative information score
0.8384 ± 0.0252
Mean absolute error
0.0318 ± 0.0048
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8484 ± 0.0216
Per class
Predictive accuracy
0.848 ± 0.0238
Prior entropy
3.3219
Recall
0.848 ± 0.0238
Per class
Relative absolute error
0.1767 ± 0.0264
Root mean prior squared error
0.3
Root mean squared error
0.1723 ± 0.014
Root relative squared error
0.5744 ± 0.0466
SciMark benchmark
1637.2716