All Relations between Confusion and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Umair Arif, Chunxia Zhang, Muhammad Waqas Chaudhary, Hafiza Hanan Khali. Optimizing lung cancer prediction: leveraging Kernel PCA with dendritic neural models. Computer methods in biomechanics and biomedical engineering. 2024-07-13. PMID:39001715. crucial features are identified, and the proposed method's effectiveness is evaluated using metrics such as accuracy, precision, f1 score, sensitivity, specificity, and confusion matrix against other ml models. 2024-07-13 2024-07-16 Not clear
Muhammad Bisri Musthafa, Samsul Huda, Yuta Kodera, Md Arshad Ali, Shunsuke Araki, Jedidah Mwaura, Yasuyuki Nogam. Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques. Sensors (Basel, Switzerland). vol 24. issue 13. 2024-07-13. PMID:39001072. the results of the performance and the confusion matrix show that the lstm stacking with analysis of variance (anova) feature selection model is a superior model for classifying network attacks. 2024-07-13 2024-07-15 Not clear
Xin Bi, Tian Zhan. Pedagogical sentiment analysis based on the BERT-CNN-BiGRU-attention model in the context of intercultural communication barriers. PeerJ. Computer science. vol 10. 2024-07-10. PMID:38983236. the confusion matrix analysis reveals a minimal classification error rate for this model. 2024-07-10 2024-07-12 Not clear
Aylin Bayındır Gümüş, Murat Açık, Sevinç Eşer Durma. Health Star Rating of Nonalcoholic, Packaged, and Ready-to-Drink Beverages in Türkiye: A Decision Tree Model Study. Preventive nutrition and food science. vol 29. issue 2. 2024-07-08. PMID:38974584. moreover, confusion matrix tests were used to test the model's accuracy. 2024-07-08 2024-07-11 Not clear
Adriel Abraham, Rejath Jose, Nabeel Farooqui, Jonathan Mayer, Jawad Ahmad, Zain Satti, Thomas J Jacob, Faiz Syed, Milan Tom. The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model. Cureus. vol 16. issue 6. 2024-07-02. PMID:38952601. these metrics were generated from a confusion matrix analysis and performance graphs. 2024-07-02 2024-07-04 Not clear
Adriel Abraham, Rejath Jose, Nabeel Farooqui, Jonathan Mayer, Jawad Ahmad, Zain Satti, Thomas J Jacob, Faiz Syed, Milan Tom. The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model. Cureus. vol 16. issue 6. 2024-07-02. PMID:38952601. a confusion matrix is a table that is often used to describe the performance of a classification model. 2024-07-02 2024-07-04 Not clear
Azadeh Alizargar, Yang-Lang Chang, Mohammad Alkhaleefah, Tan-Hsu Ta. Precision Non-Alcoholic Fatty Liver Disease (NAFLD) Diagnosis: Leveraging Ensemble Machine Learning and Gender Insights for Cost-Effective Detection. Bioengineering (Basel, Switzerland). vol 11. issue 6. 2024-06-27. PMID:38927836. various evaluation metrics including the f1 score, precision, accuracy, recall, confusion matrix, the mean absolute error (mae), receiver operating characteristics (roc), and area under the curve (auc) were employed to assess the suitability of each technique for disease prediction. 2024-06-27 2024-06-29 Not clear
Anju Panwar, Geeta Biban, Renu Chugh, Asifa Tassaddiq, Rabab Alharb. An efficient image encryption model based on 6D hyperchaotic system and symmetric matrix for color and gray images. Heliyon. vol 10. issue 11. 2024-06-24. PMID:38912513. we utilize the 6d hyperchaotic map in the confusion stage to change the pixel location and the symmetric matrix is used for changing the pixel value in the diffusion step for each rgb channel extraction from plain or original image. 2024-06-24 2024-06-26 Not clear
Yong Wang, Yaoyao Han, An Luo, Shenghua Xu, Jian Chen, Wangwang Li. Site selection and prediction of urban emergency shelter based on VGAE-RF model. Scientific reports. vol 14. issue 1. 2024-06-22. PMID:38909046. this study takes beijing, china, as the experimental area and evaluates the reliability of different model methods using a confusion matrix, receiver operating characteristic (roc) curve, and imbalance index of spatial distribution as evaluation indicators. 2024-06-22 2024-06-25 Not clear
Muhammet Burak Yavuz, Nichal Sali, Sevda Kurt Bayrakdar, Cemre Ekşi, Büşra Seda İmamoğlu, İbrahim Şevki Bayrakdar, Özer Çelik, Kaan Orha. Classification of Periapical and Bitewing Radiographs as Periodontally Healthy or Diseased by Deep Learning Algorithms. Cureus. vol 16. issue 5. 2024-06-19. PMID:38887333. the success of the developed algorithm was evaluated using the confusion matrix method. 2024-06-19 2024-06-21 Not clear
Dania Daye, Regina Parker, Satvik Tripathi, Meredith Cox, Sebastian Brito Orama, Leonardo Valentin, Christopher P Bridge, Raul N Uppo. CASCADE: Context-Aware Data-Driven AI for Streamlined Multidisciplinary Tumor Board Recommendations in Oncology. Cancers. vol 16. issue 11. 2024-06-19. PMID:38893096. the algorithm's performance was assessed using confusion matrix metrics and the area under the receiver operating characteristics (roc) curve. 2024-06-19 2024-06-21 Not clear
Chu-Kuang Chou, Riya Karmakar, Yu-Ming Tsao, Lim Wei Jie, Arvind Mukundan, Chien-Wei Huang, Tsung-Hsien Chen, Chau-Yuan Ko, Hsiang-Chen Wan. Evaluation of Spectrum-Aided Visual Enhancer (SAVE) in Esophageal Cancer Detection Using YOLO Frameworks. Diagnostics (Basel, Switzerland). vol 14. issue 11. 2024-06-19. PMID:38893655. the model's performance was evaluated using five essential metrics: precision, recall, f1-score, map, and the confusion matrix. 2024-06-19 2024-06-21 Not clear
Elana R Hobkirk, Sean D Twis. Domestication constrains the ability of dogs to convey emotions via facial expressions in comparison to their wolf ancestors. Scientific reports. vol 14. issue 1. 2024-05-07. PMID:38714729. the resulting confusion matrix demonstrates that specific combinations of facial movements predict nine distinct affective states in wolves; the first assessment of this many affective facial expressions in wolves. 2024-05-07 2024-05-27 dog
Tzu-Yun Yen, Chan-Shien Ho, Yu-Cheng Pei, Tzuo-Yau Fan, Szu-Yi Chang, Chang-Fu Kuo, Yueh-Peng Che. Predicting osteoporosis from kidney-ureter-bladder radiographs utilizing deep convolutional neural networks. Bone. 2024-04-27. PMID:38677502. to evaluate the model's performance, we computed a confusion matrix and evaluated the sensitivity, specificity, accuracy, precision, positive predictive value, negative predictive value, f1 score, and area under the receiver operating curve (auroc). 2024-04-27 2024-04-30 Not clear
Bahare Andayeshgar, Fardin Abdali-Mohammadi, Majid Sepahvand, Afshin Almasi, Nader Salar. Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads. BMC medical research methodology. vol 24. issue 1. 2024-04-27. PMID:38678178. to evaluate the performance of the proposed new network, sensitivity, precision, specificity, accuracy, and confusion matrix indices were used. 2024-04-27 2024-04-30 Not clear
Tanzim Hossain, F M Javed Mehedi Shamrat, Xujuan Zhou, Imran Mahmud, Md Sakib Ali Mazumder, Sharmin Sharmin, Raj Gururaja. Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis. PeerJ. Computer science. vol 10. 2024-04-26. PMID:38660192. the findings of the p-r curve analysis and confusion matrix further confirmed the robust classification performance of the mf-cnn. 2024-04-26 2024-04-28 Not clear
Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Won. One- and Five-Ringgit Malaysia banknotes reader with counterfeit detection for visually impaired person using backlight mechanism and image processing techniques. F1000Research. vol 10. 2024-04-15. PMID:38618192. confusion matrix is further employed to study the performance of the banknote reader, in terms of true positive, true negative, false positive and false negative. 2024-04-15 2024-04-17 Not clear
Sébastien J J Guesné, Thierry Hanser, Stéphane Werner, Samuel Boobier, Shaylyn Scot. Mind your prevalence! Journal of cheminformatics. vol 16. issue 1. 2024-04-15. PMID:38622648. therefore, after describing the relevant literature, this manuscript will first formally define a confusion matrix, sensitivity and specificity and then present, with synthetic data, the danger of comparing performance metrics under nonconstant prevalence. 2024-04-15 2024-04-18 Not clear
Sébastien J J Guesné, Thierry Hanser, Stéphane Werner, Samuel Boobier, Shaylyn Scot. Mind your prevalence! Journal of cheminformatics. vol 16. issue 1. 2024-04-15. PMID:38622648. in contrast to prior literature, it introduces the derived confusion matrix to express metrics as functions of sensitivity, specificity and prevalence without needing additional coefficients. 2024-04-15 2024-04-18 Not clear
Piotr Lacki, Anna Derlatka, Wojciech Więckowski, Janina Adamu. Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets. Materials (Basel, Switzerland). vol 17. issue 3. 2024-04-09. PMID:38591539. the quality of the validation set for the regression network was approximately 93.6%, while the errors for the confusion matrix of the test set never exceeded 6%. 2024-04-09 2024-04-11 Not clear