1. What is Uncertainty in Classification? Uncertainty refers to the model’s confidence or doubt in its predictions. Quantifying uncertainty is important to understand how reliable each prediction is. In multiclass classification , uncertainty estimates provide probabilities over multiple classes, reflecting how sure the model is about each possible class. 2. Methods to Estimate Uncertainty in Multiclass Classification Most multiclass classifiers provide methods such as: predict_proba: Returns a probability distribution across all classes. decision_function: Returns scores or margins for each class (sometimes called raw or uncalibrated confidence scores). The probability distribution from predict_proba captures the uncertainty by assigning a probability to each class. 3. Shape and Interpretation of predict_proba in Multiclass Output shape: (n_samples, n_classes) Each row corresponds to the probabilities of ...
Studying biomechanics is essential for several reasons, as it provides valuable insights into the mechanical aspects of living organisms, particularly the human body. Here are some key reasons why studying biomechanics is important: 1. Understanding Human Movement : Biomechanics helps us understand how the musculoskeletal system functions during various activities such as walking, running, jumping, and sports movements. By analyzing the forces, torques, and motions involved in human movement, researchers can gain insights into optimal performance, injury prevention, and rehabilitation strategies. 2. Injury Prevention and Rehabilitation : By studying biomechanics, researchers can identify risk factors for injuries, assess movement patterns that contribute to overuse injuries, and develop effective rehabilitation programs. Understanding the biomechanical mechanisms of injury can help in designing interventions to prevent injuries and p...