Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost.
Ferdinando CicaleseEduardo Sany LaberAline Medeiros SaettlerPublished in: ICML (2014)
Keyphrases
- decision trees
- testing process
- cost sensitive
- cost sensitive learning
- decision tree induction
- naive bayes
- fault diagnosis
- simultaneous optimization
- machine learning
- training data
- feature construction
- total cost
- fault detection
- predictive accuracy
- test cases
- neural network
- minimum cost
- data sets
- classification rules
- cost savings
- attribute selection
- decision tree algorithm
- machine learning algorithms
- multiple faults