DEVELOPMENT... OpenML
Run
50464

Run 50464

Task 1711 (Learning Curve) mfeat-factors Uploaded 06-11-2014 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
0.9982 ± 0.0021
Per class
Build CPU time
0.0003
Build memory
143844027.6364
F measure
0.968 ± 0.0136
Per class
Kappa
0.9644 ± 0.0151
KB relative information score
0.9104 ± 0.0088
Mean absolute error
0.0302 ± 0.0022
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9683 ± 0.0128
Per class
Predictive accuracy
0.968 ± 0.0136
Prior entropy
3.3219
Recall
0.968 ± 0.0136
Per class
Relative absolute error
0.168 ± 0.0123
Root mean prior squared error
0.3
Root mean squared error
0.0899 ± 0.0063
Root relative squared error
0.2997 ± 0.0211
SciMark benchmark
946.5422