Run
60759

Run 60759

Task 3716 (Supervised Classification) tecator 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
0.9443
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0012
Cross-validation details (10-fold Crossvalidation)
Build memory
526857811.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.8716
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7413
Cross-validation details (10-fold Crossvalidation)
KB relative information score
157.0831
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1811
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4888
Cross-validation details (10-fold Crossvalidation)
Number of instances
240
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
0.881
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.984
Cross-validation details (10-fold Crossvalidation)
Recall
0.8708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3704
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2968
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6003
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
813.0234