DEVELOPMENT... OpenML
Run
50455

Run 50455

Task 1702 (Learning Curve) kr-vs-kp Uploaded 06-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
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
0.999 ± 0.0016
Per class
Build CPU time
0.0002
Build memory
147226979.9333
F measure
0.9928 ± 0.0044
Per class
Kappa
0.9856 ± 0.0089
KB relative information score
0.9312 ± 0.0053
Mean absolute error
0.0421 ± 0.0028
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9928 ± 0.0043
Per class
Predictive accuracy
0.9928 ± 0.0044
Prior entropy
0.9986 ± 0.0002
Recall
0.9928 ± 0.0044
Per class
Relative absolute error
0.0844 ± 0.0055
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0953 ± 0.01
Root relative squared error
0.1908 ± 0.02
SciMark benchmark
943.0474