Question 4
Putting loss=hinge in class sklearn.linear_model.SGDClassifier(loss=’hinge’) dictates which of the following loss functions in SGDClassifier?
hinge but quadratically penalized
logistic regression
linear SVM
None of these
Question 4: Putting loss=hinge in class sklearn.linear_model.SGDClass…
Show answer
Correct answer
linear SVM
Question 4 of 38 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 11 Dec 2022, in the September 2022 term (IIT M DIPLOMA AN1 EXAM ETD1 11 Dec 2022). It carries 2 marks.
More questions from this paper
- We wish to load digit dataset from sklearn. Which of the following will result into an error?
- Which of the following statements is/are incorrect about the AUC?
- Which of the following options represents the correct option to set the regularization rate in RidgeClassifier?
- Which of the following Naive Bayes algorithms can be applied if the data is imbalanced?
- Which of the following options represents the correct output for the following block of code?
- Mention which of the following statement(s) is / are correct?\ Statement 1: Incremental learning is a dynamic technique…
- Which of the following options implements largest measure of regularization, i.e. which of these models will have lowes…
- Consider the following scatter plots of four different input datasets: Which data will be classified better using gauss…
- Consider following statements regarding a decision tree model:\ It is a non-parametric model.\ It has a tendency to und…
- When a node is split in a decision tree (in sklearn):
- Consider following statements:\ The K-means algorithm aims to choose centroids that minimise the inertia.\ The K-Means …
- Hierarchical Clustering can also be called as
- Which of the following options represents the major difference between HashingVectorizer and CountVectorizer?
- The partial_fit in sklearn’s Perceptron model helps to:
- Figure question
- Which of the following are hyper parameters in a decision tree in sklearn?
- Enter the output (up to 2 decimal points) for the following block of code.
- Consider the following code snippet:
- Which of the following is likely to be the correct output of the code given below?
- Which of the following is likely to be the correct output of the code given below?
- The correct code block or blocks to set adaptive learning rate while using SGDRegressor will be:
- Consider following statements:\ Statement 1 : In order to extend ROC curve and ROC area to multi-label classification, …
- Which of the following options represents the correct output for the following block of code?
- Which of the following options represents the correct output for the following block of code?
- Which of the following options represents the correct output of the following block of code?
- You have a regression problem to solve with following information:\ All features are numerical.\ The dataset has size o…
- Consider the following code and select the correct options.\ (Note: Assume necessary imports.)
- Refer the dataframe(df) given below and enter the correct output (up to 2 decimal points) for the following block of co…
- The output of the following block of code will be:
- Enter the output (up to 2 decimal points) for the following block of code.
- What is the correct output of the following block of code?\ [Note: LinearSVC implements “one-vs-the-rest” multi-class s…
- Which of the following options represents all the correct precision, Recall, and accuracy values for the confusion matr…
- Which of the following options represents the correct output of the following block of code?
- Rajesh wants to tune hyper parameters of an AdaBoost model for a classification problem with following specifications:\…
- Asha wants to train a bagging classifier with following specifications:\ Base estimator as k nearest neighbour classifi…
- Based on the given code, select all option which will be considered as input alpha value for our RidgeCV estimator.
- Which of the following could be the possible output of print(results.best_score_)?