Using Artificial Intelligence Techniques for Evidence-Based Decision Making in Government: Random Forest and Deep Neural Network Classification for Predicting Harmful Algal Blooms in New York State.
Yongjin ChoiJosé Ramón Gil-GarcíaOguz AranayG. Brian BurkeDerek WerthmullerPublished in: DG.O (2021)
Keyphrases
- random forest
- decision trees
- neural network
- feature set
- decision making
- fold cross validation
- cancer classification
- pattern recognition
- random forests
- classification accuracy
- decision tree learning algorithms
- water quality
- feature extraction
- feature importance
- ensemble methods
- artificial neural networks
- feature space
- machine learning methods
- multi layer perceptron
- image classification
- machine learning algorithms
- data mining
- support vector
- data sets
- feature ranking
- machine learning
- ensemble classifier
- ensemble learning
- generalization ability
- classification algorithm
- svm classifier
- benchmark datasets
- training set
- feature vectors