DEVELOPMENT... OpenML
Run
59898

Run 59898

Task 1731 (Learning Curve) pendigits Uploaded 15-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_RandomForest(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.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1
weka.LWL_RandomForest(2)_Atrue
weka.LWL_RandomForest(2)_K-1
weka.LWL_RandomForest(2)_U0
weka.LWL_RandomForest(2)_Wweka.classifiers.trees.RandomForest

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
0.9997 ± 0.0004
Per class
Build CPU time
0.0002
Build memory
6124548189.8
F measure
0.9925 ± 0.0031
Per class
Kappa
0.9916 ± 0.0034
KB relative information score
0.9765 ± 0.0019
Mean absolute error
0.0087 ± 0.0005
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
0.9925 ± 0.003
Per class
Predictive accuracy
0.9924 ± 0.0031
Prior entropy
3.3208 ± 0.0002
Recall
0.9924 ± 0.0031
Per class
Relative absolute error
0.0483 ± 0.003
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0451 ± 0.0033
Root relative squared error
0.1504 ± 0.0111
SciMark benchmark
1066.2818