Run
50511

Run 50511

Task 1740 (Learning Curve) soybean Uploaded 06-11-2014 by Jan van Rijn
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  • curves 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
0.9146 ± 0.0264
Per class
Build CPU time
0.0003
Build memory
459597334.4
F measure
0.8347 ± 0.0191
Per class
Kappa
0.8187 ± 0.055
KB relative information score
0.8235 ± 0.0554
Mean absolute error
0.0189 ± 0.0054
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.846 ± 0.0234
Per class
Predictive accuracy
0.8346 ± 0.0499
Prior entropy
3.8358 ± 0.0227
Recall
0.8346 ± 0.0499
Per class
Relative absolute error
0.1963 ± 0.0561
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.1305 ± 0.0192
Root relative squared error
0.5958 ± 0.0879
SciMark benchmark
1462.4645