Run
50497

Run 50497

Task 1702 (Learning Curve) kr-vs-kp Uploaded 06-11-2014 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_RandomTree(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.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.LWL_RandomTree(2)_Atrue
weka.LWL_RandomTree(2)_K-1
weka.LWL_RandomTree(2)_U0
weka.LWL_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9587 ± 0.01
Per class
Build CPU time
0.0002
Build memory
298830938.1333
F measure
0.9584 ± 0.0099
Per class
Kappa
0.9166 ± 0.0198
KB relative information score
0.9166 ± 0.0195
Mean absolute error
0.0416 ± 0.0097
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9584 ± 0.0099
Per class
Predictive accuracy
0.9584 ± 0.0099
Prior entropy
0.9986 ± 0.0002
Recall
0.9584 ± 0.0099
Per class
Relative absolute error
0.0833 ± 0.0194
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.2036 ± 0.0248
Root relative squared error
0.4075 ± 0.0496
SciMark benchmark
1708.8151