Classifying Crowdsourced Citizen Complaints through Data Mining: Accuracy Testing of k-Nearest Neighbors, Random Forest, Support Vector Machine, and AdaBoost.
Evaristus Didik MadyatmadjaCorinthias P. M. SianiparCristofer WijayaDavid Jumpa Malem SembiringPublished in: Informatics (2023)
Keyphrases
- k nearest neighbor
- random forest
- support vector machine
- fold cross validation
- knn
- data mining
- multi class
- ensemble methods
- decision trees
- base classifiers
- nearest neighbor
- support vector
- rotation forest
- random forests
- feature selection
- training data
- text categorization
- prediction accuracy
- ensemble learning
- feature set
- machine learning
- support vector machine svm
- generalization ability
- classification method
- classification algorithm
- decision tree learning algorithms
- svm classifier
- ensemble classifier
- majority voting
- multi label
- neural network
- binary classification
- knn classifier
- learning algorithm
- classification accuracy
- face detection
- decision boundary
- data analysis
- training set
- feature vectors
- feature space
- knowledge discovery
- cost sensitive
- text mining
- kernel function
- logistic regression
- distance function
- test set
- information retrieval
- machine learning algorithms