Run
65447

Run 65447

Task 1764 (Learning Curve) electricity Uploaded 21-11-2014 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
0.9053 ± 0.0043
Per class
Build CPU time
0.001
Build memory
1858932705.64
F measure
0.9128 ± 0.0032
Per class
Kappa
0.8214 ± 0.0064
KB relative information score
0.8048 ± 0.0062
Mean absolute error
0.097 ± 0.0029
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9127 ± 0.0031
Per class
Predictive accuracy
0.9128 ± 0.0032
Prior entropy
0.9835 ± 0
Recall
0.9128 ± 0.0032
Per class
Relative absolute error
0.1986 ± 0.006
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2887 ± 0.005
Root relative squared error
0.5842 ± 0.0101
SciMark benchmark
1674.9325