Valery Ongso Putri
Analisis Perbandingan Metode SMOTE, SMOTE-ENN, dan SMOTE-Tomek Link Dalam Menangani Imbalanced Data pada Klasifikasi = Comparative Analysis of SMOTE, SMOTE-ENN, and SMOTE-Tomek Link Methods in Handling Imbalanced Data in Classification
Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Indonesia, 2023
 UI - Skripsi Membership
Andre Nurrohman
Klasifikasi subtipe penyakit parkinson: aplikasi metode decision tree, regresi logistik, dan logit leaf model = Parkinson's disease subtype classification: application of decision tree, logistic regression, and logit leaf model
2019
 UI - Skripsi Membership
Fahri Alamsyah
Perancangan sistem pengenalan wajah menggunakan Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), dan Convolutional Neural Network (CNN) = Development of face recognition system using Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), and Convolutional Neural Network (CNN)
Fakultas Teknik Universitas Indonesia, 2021
 UI - Skripsi Membership
Martha Christina
Prediksi segmen pelanggan keuangan inklusif menggunakan self organizing map dan c5.0 decision tree = Prediction of financial inclusion customer segments using self-organizing map and c5.0 decision tree
Fakultas Teknik Universitas Indonesia, 2019
 UI - Tesis Membership
Gregorius Vidy Prasetyo
Metode easy ensemble dengan random forest untuk mengatasi masalah klasifikasi pada kelas data tidak seimbang = Easy ensemble with random forest to handle imbalanced data in classification
2019
 UI - Skripsi Membership