DEVELOPMENT... OpenML
Run
47769

Run 47769

Task 81 (Learning Curve) mfeat-zernike Uploaded 05-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9622 ± 0.0071
Per class
Build CPU time
0.1811
Build memory
1967614622.2327
F measure
0.731 ± 0.0284
Per class
Kappa
0.7044 ± 0.0319
KB relative information score
0.7284 ± 0.0188
Mean absolute error
0.0732 ± 0.0036
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7299 ± 0.0278
Per class
Predictive accuracy
0.734 ± 0.0287
Prior entropy
3.3219
Recall
0.734 ± 0.0287
Per class
Relative absolute error
0.4067 ± 0.0202
Root mean prior squared error
0.3
Root mean squared error
0.185 ± 0.0073
Root relative squared error
0.6165 ± 0.0243
SciMark benchmark
1747.5082