DEVELOPMENT... OpenML
Run
53683

Run 53683

Task 1730 (Learning Curve) credit-g Uploaded 08-11-2014 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.LibSVM(1)Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
weka.LibSVM(1)_S0
weka.LibSVM(1)_K2
weka.LibSVM(1)_D3
weka.LibSVM(1)_G0.0
weka.LibSVM(1)_R0.0
weka.LibSVM(1)_C1.0
weka.LibSVM(1)_N0.5
weka.LibSVM(1)_P0.1
weka.LibSVM(1)_M40.0
weka.LibSVM(1)_E0.001
weka.LibSVM(1)_model/Users/joa/Code/OpenML
weka.LibSVM(1)_seed1

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
0.4936 ± 0.0053
Per class
Build CPU time
0.1476
Build memory
947724521.4222
F measure
0.5721 ± 0.0024
Per class
Kappa
-0.0178 ± 0.0144
KB relative information score
0.2109 ± 0.0188
Mean absolute error
0.309 ± 0.0074
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.4881 ± 0.0011
Per class
Predictive accuracy
0.691 ± 0.0074
Prior entropy
0.8813
Recall
0.691 ± 0.0074
Per class
Relative absolute error
0.7354 ± 0.0176
Root mean prior squared error
0.4583
Root mean squared error
0.5559 ± 0.0066
Root relative squared error
1.213 ± 0.0145
SciMark benchmark
1914.93