DEVELOPMENT... OpenML
Run
50450

Run 50450

Task 1717 (Learning Curve) mfeat-morphological Uploaded 06-11-2014 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.

21 Evaluation measures

Area under ROC curve
0.9505 ± 0.0052
Per class
Build CPU time
0.0001
Build memory
609496893.0182
F measure
0.6978 ± 0.0179
Per class
Kappa
0.6656 ± 0.0208
KB relative information score
0.706 ± 0.0187
Mean absolute error
0.0689 ± 0.0034
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6976 ± 0.0198
Per class
Predictive accuracy
0.699 ± 0.0187
Prior entropy
3.3219
Recall
0.699 ± 0.0187
Per class
Relative absolute error
0.3829 ± 0.0189
Root mean prior squared error
0.3
Root mean squared error
0.2125 ± 0.0066
Root relative squared error
0.7085 ± 0.0221
SciMark benchmark
1652.2022