OpenML
60708

Run 60708

Task 3920 (Supervised Classification) mw1 Uploaded 16-11-2014 by Joaquin Vanschoren
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)_I10
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
0.7449
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0017
Cross-validation details (10-fold Crossvalidation)
Build memory
111710780.4467
Cross-validation details (10-fold Crossvalidation)
F measure
0.9002
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2142
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-80.3193
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1278
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1438
Cross-validation details (10-fold Crossvalidation)
Number of instances
403
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8923
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9132
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3987
Cross-validation details (10-fold Crossvalidation)
Recall
0.9132
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8888
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2665
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2509
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9417
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1228.4184