Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data. [PDF]
Jiang X, Xu C.
europepmc +1 more source
The Naïve Bayes (NB) algorithm is widely used due to its simplicity and computational efficiency; however, its performance often degrades on real-world data because the assumption of feature independence is frequently violated.
Jejen Jaenudin +2 more
doaj +1 more source
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models. [PDF]
Adnan M +3 more
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A novel LSTM-CNN-grid search-based deep neural network for sentiment analysis. [PDF]
Priyadarshini I, Cotton C.
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Performa Logistic Regression dan Naive Bayes dalam Klasifikasi Berita Hoax di Indonesia
The spread of false information has become a major challenge in Indonesian society, with 2,484 cases recorded in 2022. This highlights the importance of developing a system that can effectively identify and filter out fake news.
Okta Nur Cahyani, Fikri Budiman
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Grid Search for Lowest Root Mean Squared Error in Predicting Optimal Sensor Location in Protected Cultivation Systems. [PDF]
Uyeh DD +6 more
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A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data. [PDF]
Chadha A, Kaushik B.
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Hyperparameter Tuning and Pipeline Optimization via Grid Search Method and Tree-Based AutoML in Breast Cancer Prediction. [PDF]
Radzi SFM +5 more
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Grid search approach to discriminate between old and recent inbreeding using phenotypic, pedigree and genomic information. [PDF]
Sumreddee P +5 more
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Fast Grid Search and Bootstrap-based Inference for Continuous Two-phase Polynomial Regression Models. [PDF]
Son H, Fong Y.
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