Run
437024

Run 437024

Task 91 (Learning Curve) pendigits Uploaded 13-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FURIA(1)Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
weka.FURIA(1)_F3
weka.FURIA(1)_N2.0
weka.FURIA(1)_O2
weka.FURIA(1)_S1
weka.FURIA(1)_s0
weka.FURIA(1)_p0

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
0.996 ± 0.0013
Per class
F measure
0.9815 ± 0.0039
Per class
Kappa
0.9794 ± 0.0044
KB relative information score
0.9782 ± 0.0037
Mean absolute error
0.0058 ± 0.0008
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9815 ± 0.0039
Per class
Predictive accuracy
0.9815 ± 0.0039
Prior entropy
3.3208 ± 0.0002
Recall
0.9815 ± 0.0039
Per class
Relative absolute error
0.0324 ± 0.0046
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0567 ± 0.0052
Root relative squared error
0.1891 ± 0.0174
SciMark benchmark
902.4456
UserCPU time millis
52640
UserCPU time millis testing
260
UserCPU time millis training
52380