DEVELOPMENT... OpenML
Run
53722

Run 53722

Task 2098 (Learning Curve) abalone Uploaded 08-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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.

19 Evaluation measures

Area under ROC curve
0.7334 ± 0.0101
Per class
Build CPU time
0.0001
Build memory
2216123018.7077
Kappa
0.135 ± 0.013
KB relative information score
0.2509 ± 0.0105
Mean absolute error
0.0554 ± 0.0003
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2341 ± 0.0111
Prior entropy
3.6031 ± 0.0188
Recall
0.2341 ± 0.0111
Per class
Relative absolute error
0.8961 ± 0.0049
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1734 ± 0.001
Root relative squared error
0.9868 ± 0.0054
SciMark benchmark
1624.8488