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 ...
How does the Author analyze the concept of 'possible worlds' in Copenhagen in relation to the idea of a multiverse and alternate history?
The article on Michael Frayn's play "Copenhagen" analyzes the concept of 'possible worlds' in relation to the idea of a multiverse and alternate history by delving into the narrative quantum cosmology presented in the play. Here is how the analysis unfolds: 1. **Possible Worlds Theory**: The article adopts the approach of possible worlds theory to examine how 'possible worlds' are projected in Copenhagen. Possible worlds theory, often used in philosophy and narratology, posits that there are multiple ways the world could have been or could be, representing different scenarios or realities. In the context of the play, these possible worlds are explored as counterfactuals or 'drafts' that present alternate versions of events and interactions between the characters. 2. **Multiverse**: The article draws parallels between the concept of possible worlds in narratology and the idea of a multiverse in physics. Physics has proposed the existence of ...