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Uncertainty in Multiclass Classification

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 ...

Ocular Artifacts Compared to Delta Activity

Ocular artifacts and delta activity in EEG recordings can share some similarities but also have key differences that help differentiate between the two.

Comparison:

o   Both isolated monomorphic frontal slow waves seen in ocular artifacts and frontal intermittent rhythmic delta activity (FIRDA) have similar wave duration and field distribution.

o  Ocular artifacts, including those from blinks, eye flutter, lateral gaze, and rapid eye movements, can resemble delta activity in terms of waveform characteristics and frequency range.

o  Repetitive blinks and blepharospasm can produce ocular artifacts that resemble delta activity but may have distinguishing features related to the nature and frequency of eye movements.

2.     Differentiation:

o  Ocular artifacts do not extend into the central region, unlike delta activity, which can be more widespread across the scalp.

o    The field of ocular artifacts is typically limited to the frontal regions, while delta activity may have a broader distribution across the scalp.

o Waveform differences, such as the contour and phase reversals between specific electrode channels, can help differentiate ocular artifacts from delta activity.

Understanding the similarities and differences between ocular artifacts and delta activity is essential for accurate EEG interpretation, as misinterpretation of ocular artifacts as pathological delta activity can lead to incorrect clinical conclusions.

 

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