Run
58587

Run 58587

Task 1731 (Learning Curve) pendigits Uploaded 15-11-2014 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
0.9766 ± 0.0029
Per class
Build CPU time
0.0001
Build memory
812356420.15
F measure
0.958 ± 0.0052
Per class
Kappa
0.9533 ± 0.0058
KB relative information score
0.956 ± 0.0054
Mean absolute error
0.0084 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.958 ± 0.0051
Per class
Predictive accuracy
0.958 ± 0.0052
Prior entropy
3.3208 ± 0.0002
Recall
0.958 ± 0.0052
Per class
Relative absolute error
0.0467 ± 0.0058
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0917 ± 0.006
Root relative squared error
0.3056 ± 0.02
SciMark benchmark
1091.0812