Run
436825

Run 436825

Task 79 (Learning Curve) mfeat-pixel Uploaded 13-05-2015 by Joaquin Vanschoren
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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
0.98 ± 0.0073
Per class
F measure
0.9133 ± 0.0193
Per class
Kappa
0.9038 ± 0.0213
KB relative information score
0.8988 ± 0.0169
Mean absolute error
0.0246 ± 0.0037
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9137 ± 0.0187
Per class
Predictive accuracy
0.9134 ± 0.0191
Prior entropy
3.3219
Recall
0.9134 ± 0.0191
Per class
Relative absolute error
0.1366 ± 0.0205
Root mean prior squared error
0.3
Root mean squared error
0.1184 ± 0.0114
Root relative squared error
0.3947 ± 0.038
SciMark benchmark
942.1241
UserCPU time millis
9640
UserCPU time millis testing
20
UserCPU time millis training
9620