Run
50358

Run 50358

Task 1721 (Learning Curve) mfeat-zernike Uploaded 06-11-2014 by Jan van Rijn
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.LWL_J48(2)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.LWL_J48(2)_Atrue
weka.LWL_J48(2)_K-1
weka.LWL_J48(2)_U0
weka.LWL_J48(2)_Wweka.classifiers.trees.J48

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
0.868 ± 0.0177
Per class
Build CPU time
0.0001
Build memory
294676801.0909
F measure
0.6928 ± 0.0216
Per class
Kappa
0.6594 ± 0.027
KB relative information score
0.7216 ± 0.0252
Mean absolute error
0.0606 ± 0.0049
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
0.6945 ± 0.0186
Per class
Predictive accuracy
0.6935 ± 0.0243
Prior entropy
3.3219
Recall
0.6935 ± 0.0243
Per class
Relative absolute error
0.3365 ± 0.0271
Root mean prior squared error
0.3
Root mean squared error
0.2193 ± 0.0104
Root relative squared error
0.731 ± 0.0345
SciMark benchmark
1508.8083