Run
1842205

Run 1842205

Task 125966 (Supervised Classification) SpeedDating Uploaded 04-12-2016 by Johann Slabber
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LogitBoost_DecisionStump(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LogitBoost_DecisionStump(1)_P100
weka.Bagging_LogitBoost_DecisionStump(1)_S1
weka.Bagging_LogitBoost_DecisionStump(1)_num-slots1
weka.Bagging_LogitBoost_DecisionStump(1)_I20
weka.Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_DecisionStump(6)_P100
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z3.0
weka.LogitBoost_DecisionStump(6)_O1
weka.LogitBoost_DecisionStump(6)_E1
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I20
weka.LogitBoost_DecisionStump(6)_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.

17 Evaluation measures

Area under ROC curve
0.8545
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8473
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3958
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1377.7612
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8483
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8649
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7311
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3146
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8481
Cross-validation details (10-fold Crossvalidation)