Run
1841389

Run 1841389

Task 125966 (Supervised Classification) SpeedDating Uploaded 27-11-2016 by J B
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)Weka implementation of IterativeClassifierOptimizer
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_L50
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_P6
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_E6
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_R2
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_metricPrecision
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(7)_P100
weka.LogitBoost_DecisionStump(7)_L-Infinity
weka.LogitBoost_DecisionStump(7)_H0.605
weka.LogitBoost_DecisionStump(7)_Z2.8
weka.LogitBoost_DecisionStump(7)_O6
weka.LogitBoost_DecisionStump(7)_E6
weka.LogitBoost_DecisionStump(7)_S1
weka.LogitBoost_DecisionStump(7)_I37
weka.LogitBoost_DecisionStump(7)_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
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8442
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3803
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1301.8453
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2039
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
0.8465
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8637
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8637
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7408
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3157
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8512
Cross-validation details (10-fold Crossvalidation)