Run
17801

Run 17801

Task 53 (Supervised Classification) vehicle Uploaded 09-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I40
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4098
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2856
Cross-validation details (10-fold Crossvalidation)
KB relative information score
207.9517
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3245
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5909
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4598
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.4598
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3976
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9185
Cross-validation details (10-fold Crossvalidation)