Search Results - (( model evaluation bayes algorithm ) OR ( model selection based algorithm ))
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1
Airline flight delay prediction using Naïve Bayes algorithm / Ahmad Adib Baihaqi Shukri
Published 2024“…This study aims to study the Naïve Bayes algorithm for flight delay prediction. The objective is to develop a reliable flight delay prediction model using the Naïve Bayes algorithm and evaluate its performance. …”
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2
Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing
Published 2017“…The performance of the proposed algorithms are evaluated with simulated data and real images and it is shown to perform much better than existing Gaussian mixture model based algorithms in reproducing images with higher structural similarity index.…”
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3
Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection
Published 2024“…This study examines the optimization of Indonesian text sentiment analysis through the integration of feature selection using a genetic algorithm (GA) with deep learning models. …”
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4
Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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5
Performance evaluation of intrusion detection system using selected features and machine learning classifiers
Published 2021“…The two sets of selected features are based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) approach respectively. …”
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6
Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
7
A stylometry approach for blind linguistic steganalysis model against translation-based steganography
Published 2023“…The performance of the stylometry-based blind steganalysis model is then evaluated based on all false rate, missing rate and accuracy rate and compared against three other standard classifiers in steganalysis; Naive Bayes (NB), k-Nearest Neighbor (k-NN), and Decision Tree (J48). …”
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8
Prediction of employee promotion using hybrid sampling method with machine learning architecture / Shahidan Shafie, Soek Peng Ooi and Khai Wah Khaw
Published 2023“…The first 5, 8, and 12 features are selected based on the RFI-ECT to train the machine learning algorithms. …”
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Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman
Published 2022“…Plus, to analyse the efficiency of a detection model on keylogger dataset by evaluating a selection of attributes. …”
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Student Project -
10
Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms
Published 2023“…The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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Final Year Project Report / IMRAD -
11
An Automated System For Classifying Conference Papers
Published 2021“…The project is also aimed to select the best classification model for the system, based on an empirical study. …”
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Final Year Project / Dissertation / Thesis -
12
Enhancing fairness and efficiency in teacher placement based on staff placement model: an intelligent teacher placement selection model for Ministry of Education Malaysia
Published 2025“…The effectiveness of ITPS was evaluated using five machine learning algorithms: J48, Decision Tree, Naïve Bayes, Random Forest, and K-Nearest Neighbors. …”
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13
A COMPARATIVE STUDY OF MACHINE LEARNING MODELS FOR PREDICTION OF AUTISM SPECTRUM DISORDER USING SCREENING DATA
Published 2023“…The steps include domain understanding, data selection, data pre-processing, data transformation, data mining/modelling and model evaluation. …”
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Final Year Project Report / IMRAD -
14
Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…Furthermore, the efficacy of different models based on heuristic hyperparameter tuning is evaluated in which the different kernel function for Support Vector Machine, various distance metrics of k-Nearest Neighbors. …”
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15
Identifying and predicting Muslim’s community funeral funding protocols
Published 2024“…Exploratory data analysis, 4. Selecting the feature, 5. Modelling, 6. Evaluation. …”
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16
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
Published 2021“…The common spatial pattern (CSP) has been applied to extract the features from the MI response, and the effectiveness of random forest (RF)-based feature selection algorithm has also been investigated. …”
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17
Evolving fuzzy grammar for crime texts categorization
Published 2015“…In this method, the learning model is built based on a set of selected text fragments which are then transformed into their underlying structure called fuzzy grammars. …”
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18
Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…The proposed EBrC-Net model is based on deep learning (DL) based approach. …”
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19
An enhanced gated recurrent unit with auto-encoder for solving text classification problems
Published 2020“…Based on various types of performance evaluation parameters, a considerable amount of improvement has been observed in the performance of the proposed model as compared to other standard classification techniques, and showed better effectiveness and efficiency of the developed model.…”
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20
Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates
Published 2017“…Based on the results obtained, the KBX distribution has provided a better fit compared to the BKBX, the baseline BX, and non-nested models based on the model selection criteria using the MLE.…”
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