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 ...
The clinical significance of lambda waves is primarily related to their role as indicators of normal brain function, particularly in the context of visual processing and wakefulness. Here are the key points regarding the clinical significance of lambda waves: 1. Normal Phenomenon      Lambda waves are considered a normal EEG       finding in awake individuals, especially during visual exploration. Their       presence indicates that the visual cortex is actively engaged in       processing visual stimuli 28.    2. Asymmetry and Pathology      While lambda waves are typically benign,       marked and consistent asymmetry in their presence can indicate potential       cerebral pathology. This asymmetry may manifest as either an asymmetric       bilateral field or unilateral lambda waves that occur more frequently on       one side. Such findings may suggest underlying neurological issues on the       side lacking lambda waves 28.    3. Association with Visual Proc...