Search Results - (( java implication based algorithm ) OR ( cross validation study algorithm ))
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A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation
Published 2023“…Grid search cross validation (CV) is applied for hyperparameter tuning of the algorithms. …”
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Phylogenetic tree classification system using machine learning algorithm
Published 2015“…In addition to that, 10-fold cross-validation is also conducted in the evaluation. …”
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Final Year Project Report / IMRAD -
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…In the implementation phase, Bubble Sort, Euclidean Distance, 10-Fold Cross validation, and K Nearest Neighbor algorithm are developed. …”
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Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
Published 2022“…This study presents machine learning algorithms for life expectancy based on the Asian population dataset. …”
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Regression study for thyroid disease prediction Comparison of crossing-over approaches and multivariate analysis
Published 2022“…For the multivariate analysis, we found that the number of variable is not the key element to determine the performance of a model, rather than a suitable combination of strong predictors. Future studies could explore the effects of cross-validation and multivariate analysis on other machine learning algorithms.…”
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Conference or Workshop Item -
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A comparative study of the classification of skin burn depth in human
Published 2017“…The dataset was evaluated using both a supplied test set and 10-fold cross validation methods. Empirical results showed that the best classification algorithms that were able to classify most of the burn depths using a supplied test set were Logistic, Simple Logistic, MultiClassClassifier, OneR, and LMT, with an average accuracy of 68.9% whereas for 10-fold cross validation evaluation, the best result was obtained through the Simple Logistic algorithm with an average accuracy of 73.2%. …”
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A Comparison Study On Pca_Modular Pca And Lda For Face Recognition
Published 2017“…The performance of these face recognition algorithms will be evaluated by 10-fold cross validation using ORL database. …”
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Monograph -
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Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis
Published 2021“…This manuscript attempted to shed more light on the effect of a resampling method (ROS or RUS) on the performance of LDA based on true positive rate and true negative rate through five validation strategies, i.e. leave-one-out cross-validation, k-fold cross-validation, repeated k-fold cross-validation, naive bootstrap, and .632+ bootstrap. 100 twogroup bivariate normally distributed simulated and four real data sets with severe class imbalance ratio were utilised. …”
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Validation assessments on Resampling Method in Imbalanced Binary Classification for Linear Discriminant Analysis
Published 2021“…This manuscript attempted to shed more light on the effect of a resampling method (ROS or RUS) on the performance of LDA based on true positive rate and true negative rate through five validation strategies, i.e. leave-one-out cross-validation, k-fold cross-validation, repeated k-fold cross-validation, naive bootstrap, and .632+ bootstrap. 100 two-group bivariate normally distributed simulated and four real data sets with severe class imbalance ratio were utilised. …”
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Development of a syncope classification algorithm from physiological signals acquired in tilt-table test
Published 2023“…Additionally, stratified 5-fold cross-validation was performed to evaluate the performance of proposed model. …”
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Final Year Project / Dissertation / Thesis -
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A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…The Performance Of The Combined Techniques Is Validated By Using Leave-One-Out Cross Validation (Loocv) Technique And Receiver Operating Characteristic (Roc) Is Used To Analyze The Results. …”
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An improved design for cellular manufacturing system associating scheduling decisions
Published 2019“…A comparison with the mathematical solution reveals that the proposed HH is capable of providing solutions closer to optimal in a computationally efficient manner. The model is validated by studying the effect of integrated decisions, machine duplications, and association of scheduling and cross-flow. …”
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Evaluation of K-fold value in breast cancer diagnosis technique using SVM and bio-inspired optimization algorithm (JA-ABC5)
Published 2023“…Classification techniques can be used to improve the accuracy of breast cancer diagnosis to get around this limitation. The purpose of this study is to determine how K-fold cross validation affects breast cancer classification performance. …”
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Conference or Workshop Item -
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Activity recognition based on accelerometer sensor using combinational classifiers
Published 2015“…Publicly accelerometer dataset obtained from Wireless Sensor Data Mining (WISDM) lab has been used in this study. The result of classification was validated using 10-fold cross validation algorithm in order to make sure all the experiments perform well.…”
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…This research introduces a new approach to enhancing cybersecurity by integrating Support Vector Machine (SVM) algorithms with penetration testing to develop a recommendation system focused on Cross-Site Scripting (XSS) attack detection. …”
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Prediction of blood-brain barrier permeability of compounds by machine learning algorithms
Published 2024“…In this work, using the KNIME Analytics platform, 4 predictive models were developed with 4 ML algorithms followed by a ten-fold cross-validation approach to predict the external validation set. …”
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HYBRID WATER CYCLE OPTIMIZATION ALGORITHM WITH SIMULATED ANNEALING FOR SPAM EMAIL DETECTION
Published 2022“…For the training and validation datasets, cross-validation was performed, and seven datasets were used to evaluate the suggested spam classification…”
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…The performance of the models was assessed through various established matrices using 10-fold cross-validation. A novel methodology was used to compute simple heart risk scores called non-laboratory based heart risk score (NLHRS). …”
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A comparative analysis of machine learning algorithms for diabetes prediction
Published 2024“…The methodology involves data collection, pre-processing, and training the algorithms using k-fold cross-validation. The results indicate that pre-processing steps and dataset characteristics significantly impact algorithm performance. …”
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