DEVELOPMENT... OpenML
Run
53954

Run 53954

Task 1757 (Learning Curve) waveform-5000 Uploaded 08-11-2014 by Felicia West
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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
0.9675 ± 0.0051
Per class
Build CPU time
0.0003
Build memory
420782109.2
F measure
0.8501 ± 0.0092
Per class
Kappa
0.776 ± 0.0137
KB relative information score
0.6648 ± 0.0135
Mean absolute error
0.1868 ± 0.0064
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8516 ± 0.0096
Per class
Predictive accuracy
0.8506 ± 0.0091
Prior entropy
1.5849 ± 0
Recall
0.8506 ± 0.0091
Per class
Relative absolute error
0.4204 ± 0.0144
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.2745 ± 0.008
Root relative squared error
0.5823 ± 0.0169
SciMark benchmark
942.4911