Future of Cricket Coaching: The CNN-SVM Bowling Motion Paradigm

The abstract of the research paper titled “Enhancing Cricket Bowling Motion Using the CNN-SVM Approach: The paper titled “A Five-Class Analysis” provides a detailed analysis of an elaborate machine learning model created to distinguish five patterns in cricket bowling. The model uses a convolutional neural network for robust feature extraction from a dataset of 3400 images, which a support vector machine further follows to obtain an accurate and perfect classification. The results are quantified using precision, recall, and F1-Score for each bowling style, with the following notable outcomes: The Precision, Recall, and F1-Score that were observed in the case of fast bowling calculation was 86.10%; precision for swing bowlers equaled to a percentage value at 93.47%, recall—at around an approximate level of 95%; and percentages received with accuracy regarding the computation involving slow ballers reached figures such as precisely about The accuracy of the model stood at a commendable 92.98457817%. The performance across these classes was further summarized using three types of averages to provide a holistic view of the model's performance: Macro-avg of precision, recall, and F1-Score across the classes was reported as 92.28%, 93.09% and 97%, respectively, representing uniform performance through all class This was calculated as the weighted average, which takes account of each class support and gives 93.12% for precision score, 92.98% recall points, and an F1 score of 0·4~. According to this, we can say that our model is characterised by effectiveness given various counts involving instances from different classes. Finally, the micro average aggregating contributions from all classes was 92.98% for precision-recall and F1Score, indicating the model's balanced classification ability. These findings highlight the effectiveness of the CNN-SVM model in separating cricketing styles with a significant positive turning point toward machine learning and sports analytics.