Run
1642221

Run 1642221

Task 9903 (Supervised Classification) autoUniv-au7-500 Uploaded 19-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_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
0.52
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2735
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0563
Cross-validation details (10-fold Crossvalidation)
KB relative information score
32.5413
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2952
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2175
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.372
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.372
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9851
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3854
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9961
Cross-validation details (10-fold Crossvalidation)