A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset.
Toluwalase A. OlukogaYin FengPublished in: CoRR (2022)
Keyphrases
- benchmark datasets
- pattern recognition
- classification accuracy
- support vector machine svm
- classification algorithm
- feature space
- feature vectors
- machine learning
- class imbalance
- uci datasets
- training set
- supervised learning
- support vector
- feature selection
- classification models
- classification method
- machine learning methods
- classification scheme
- cost sensitive
- training dataset
- image classification
- feature set
- decision trees
- neural network
- cost sensitive learning
- data sets
- imbalanced data sets
- benchmark data sets
- class labels
- machine learning algorithms
- model selection
- support vector machine
- case study