Measuring Economic Growth from Space: Predicting GDP Discrepancies with Nighttime Lights

Walk through the full pipeline (data → split → CV → 5 models → compare) on a small simulated dataset where we know the true DGP (5informative features + 25 noise). Easier to see what each line does — and what each method picks. Replication of Muchlinski, Siroky, He & Kocher 2016 (Political Analysis), "Comparing Random Forests with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data

Dataset yang digunakan dalam laporan ini adalah Student Performance Factors yang tersedia secara publik di Kaggle (URL: https://www.kaggle.com/datasets/lainguyn123/student-performance-factors). Dataset ini memuat informasi akademik, perilaku belajar, dan latar belakang sosial-ekonomi siswa. Untuk mereproduksi analisis ini, unduh file StudentPerformanceFactors.csv dari tautan tersebut dan letakkan di direktori kerja R Anda.

Loan Data Modelling in R using logistic regression

Bilan EMB IPI 0526

Competitive Jungle Game