Mapping the Provincial Food Security Conditions in Indonesia Using Cluster Ensemble-Based Mixed Data Clustering-Robust Clustering with Links (CEBMDC-ROCK).
V Ratnasari, ATR Dani - International Journal on Advanced …, 2023 - search.ebscohost.com
Problems related to food are indeed an issue that continues to be discussed by the
government, both imports, self-sufficiency, the issue food security. Food security conditions …
government, both imports, self-sufficiency, the issue food security. Food security conditions …
Rotation Double Random Forest Algorithm to Predict The Food Insecurity Status of Households
The ensemble tree method has been proven to handle classification problems well. The
strength of the ensemble tree technique lies in the diversity and independence between …
strength of the ensemble tree technique lies in the diversity and independence between …
Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model
N Hikmah, IM Sumertajaya… - JTAM (Jurnal Teori dan …, 2023 - journal.ummat.ac.id
Biclustering come in various algorithms, selecting the most suitable biclustering algorithm
can be a challenging task. The performance of algorithms can vary significantly depending …
can be a challenging task. The performance of algorithms can vary significantly depending …
[PDF][PDF] Unifying Variable Importance Scores from Different Machine Learning Models Using Simulated Annealing
Each machine learning algorithm might generate different variable importance even though
the identical loss function is used. The difference in the predictor rank order makes it difficult …
the identical loss function is used. The difference in the predictor rank order makes it difficult …
An optimal variable importance for machine learning classification models using modified simulated annealing algorithm
Each machine learning model will generate a different importance variable even though the
method used is the same. Interpreting the variable significance is confusing. This study …
method used is the same. Interpreting the variable significance is confusing. This study …
Integrating Water Indicators In A Data-Driven Artificial Intelligence Model For Food Security Classification
H Al Azies - TheJournalish: Social and Government, 2023 - thejournalish.com
Penelitian ini menjelaskan integrasi indikator air dalam pengklasifikasian ketahanan
pangan provinsi di Indonesia. Pentingnya topik ini terkait dengan hubungan yang signifikan …
pangan provinsi di Indonesia. Pentingnya topik ini terkait dengan hubungan yang signifikan …
[PDF][PDF] An Optimal Approach to Identify the Importance of Variables in Machine Learning Using Cuckoo Search Algorithm
Different machine learning algorithms may produce different orders of the variable
importance measures even though they use an identical dataset. The measures raise the …
importance measures even though they use an identical dataset. The measures raise the …
[引用][C] Effectiveness of SMOTE-ENN to Reduce Complexity in Classification Model
I Riantika, B Sartono, KA Notodiputro - Indonesian Journal of Statistics and Its …, 2024