DEVELOPMENT... OpenML
Run
64611

Run 64611

Task 3799 (Supervised Classification) fri_c3_500_10 Uploaded 18-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I160
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8076
Per class
Build CPU time
0.0324
Build memory
155901944.8
F measure
0.7024
Per class
Kappa
0.4013
KB relative information score
111.5535
Mean absolute error
0.4016
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7032
Per class
Predictive accuracy
0.702
Prior entropy
0.9945
Recall
0.702
Per class
Relative absolute error
0.8095
Root mean prior squared error
0.4981
Root mean squared error
0.4435
Root relative squared error
0.8905
SciMark benchmark
1212.2248