listing mcq chapter 4
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Catégorie :Category: nCreator TI-Nspire
Auteur Author: SPITZER2001
Type : Classeur 3.0.1
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Mis en ligne Uploaded: 05/05/2025 - 22:36:32
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Téléchargements Downloads: 8
Visibilité Visibility: Archive publique
Shortlink : https://tipla.net/a4621058
Type : Classeur 3.0.1
Page(s) : 1
Taille Size: 2.11 Ko KB
Mis en ligne Uploaded: 05/05/2025 - 22:36:32
Uploadeur Uploader: SPITZER2001 (Profil)
Téléchargements Downloads: 8
Visibilité Visibility: Archive publique
Shortlink : https://tipla.net/a4621058
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Fichier Nspire généré sur TI-Planet.org.
Compatible OS 3.0 et ultérieurs.
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What is the primary use of logistic regression? The sigmoid function always outputs values between which two numbers? Which mathematical function defines the logistic (sigmoid) function? In logistic regression, what value is typically used as the decision threshold? What does the output of logistic regression represent? What type of loss function is used in logistic regression? Which optimization algorithm is commonly used to train logistic regression? Logistic regression assumes what kind of relationship between features and log-odds? What is another name for the log-odds in logistic regression? Which of the following is not a typical assumption of logistic regression? What is overfitting in the context of logistic regression? What technique is used to reduce overfitting in logistic regression? What is another name for L2 regularization? What is the role of a regularization term in logistic regression? What does a zero weight indicate in L1-regularized logistic regression? What is the output of the sigmoid function when z tends to positive infinity? What is the output of the sigmoid function when z tends to negative infinity? Why is gradient descent used in logistic regression? At what value of the sigmoid output is the models prediction most uncertain? Which metric is not suitable for evaluating classification performance? What introduces non-linearity into logistic regression? What is the range of the logit (log-odds) function? What happens when the learning rate in gradient descent is too high? What information does a confusion matrix provide? What does an ROC curve plot? What is the purpose of the AUC metric? What kind of output does logistic regression generate before applying a threshold? Why is feature scaling important in logistic regression? What is class imbalance? Which metric is most appropriate when dealing with class imbalance? What does a high recall value indicate? What is a primary advantage of using L1 regularization? What is a threshold in the context of logistic regression? What is the effect of using an excessively strong regularization? In scikit-learn, which parameter controls regularization strength in logistic regression? What does setting penalty='l1' do in scikit-learn's logistic regression? What is a main drawback of logistic regression? What is the purpose of using cross-validation in logistic regression? What is the purpose of the intercept term in logistic regression? How can logistic regression be extended to multi-class classification? Made with nCreator - tiplanet.org
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Compatible OS 3.0 et ultérieurs.
<<
What is the primary use of logistic regression? The sigmoid function always outputs values between which two numbers? Which mathematical function defines the logistic (sigmoid) function? In logistic regression, what value is typically used as the decision threshold? What does the output of logistic regression represent? What type of loss function is used in logistic regression? Which optimization algorithm is commonly used to train logistic regression? Logistic regression assumes what kind of relationship between features and log-odds? What is another name for the log-odds in logistic regression? Which of the following is not a typical assumption of logistic regression? What is overfitting in the context of logistic regression? What technique is used to reduce overfitting in logistic regression? What is another name for L2 regularization? What is the role of a regularization term in logistic regression? What does a zero weight indicate in L1-regularized logistic regression? What is the output of the sigmoid function when z tends to positive infinity? What is the output of the sigmoid function when z tends to negative infinity? Why is gradient descent used in logistic regression? At what value of the sigmoid output is the models prediction most uncertain? Which metric is not suitable for evaluating classification performance? What introduces non-linearity into logistic regression? What is the range of the logit (log-odds) function? What happens when the learning rate in gradient descent is too high? What information does a confusion matrix provide? What does an ROC curve plot? What is the purpose of the AUC metric? What kind of output does logistic regression generate before applying a threshold? Why is feature scaling important in logistic regression? What is class imbalance? Which metric is most appropriate when dealing with class imbalance? What does a high recall value indicate? What is a primary advantage of using L1 regularization? What is a threshold in the context of logistic regression? What is the effect of using an excessively strong regularization? In scikit-learn, which parameter controls regularization strength in logistic regression? What does setting penalty='l1' do in scikit-learn's logistic regression? What is a main drawback of logistic regression? What is the purpose of using cross-validation in logistic regression? What is the purpose of the intercept term in logistic regression? How can logistic regression be extended to multi-class classification? Made with nCreator - tiplanet.org
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