Quiz Space

Machine Learning Practice · End Term · 24 Dec 2023 · September 2023 term · Set FDD1

Question 32: Consider the following block of code: In which of the fo…

Question 32

+4 marksOne or more correct options

Consider the following block of code:

python
from sklearn.datasets import load_breast_cancer
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
X,y = load_breast_cancer(as_frame = True,
                         return_X_y = True)
X_train,X_test,y_train,y_test = train_test_split(X,y,
                                                 test_size = 0.2,
                                               random_state = 1)
clf = DecisionTreeClassifier(min_samples_split = 5,
                             min_samples_leaf = 3,
                             random_state = 5)
clf.fit(X_train, y_train)
print(clf.score(X_test, y_test))

In which of the following scenarios, the split will NOT be made at node N?

Select all that apply.

  1. A

    Number of samples at node N = 10. If it is split, it will result in 2 nodes in the left child and 8 nodes in the right child.

  2. B

    Number of samples at node N = 6. If it is split, it will result in 3 nodes in the left child and 3 nodes in the right child.

  3. C

    Number of samples at node N = 12. If it is split, it will result in 5 nodes in the left child and 7 nodes in the right child.

  4. D

    Number of samples at node N = 4. If it is split, it will result in 3 nodes in the left child and 1 node in the right child.

Show answer

Correct answers

  • A

    Number of samples at node N = 10. If it is split, it will result in 2 nodes in the left child and 8 nodes in the right child.

  • D

    Number of samples at node N = 4. If it is split, it will result in 3 nodes in the left child and 1 node in the right child.

See the whole paperTake it as a mock test

Question 32 of 38 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 24 Dec 2023, in the September 2023 term (IIT M DIPLOMA FN EXAM FDD1 24 Dec 2023). It carries 4 marks.

More questions from this paper

  1. Q1Consider the following Python code using Pandas: What does the groupby operation in the code achieve?
  2. Q2Consider the below code: Which of the following option represents the print output :
  3. Q3Which of the following metrics indicate higher their value, better the regression model’s performance?
  4. Q4Which of the following variations of gradient descent can be implemented with SGDClassifier?
  5. Q5Consider the Ridge regression model in scikit-learn, represented by the Ridge class.\ Which of the following statements…
  6. Q6Which of the following method is used to estimate the probabilities in SGD-Classifier with suitable loss?
  7. Q7Figure question
  8. Q8When using CountVectorizer in scikit-learn, what does the max_features parameter control?
  9. Q9Which of these may NOT help in handling overfitting in decision trees?
  10. Q10Which of the following is/are Clustering Method.
  11. Q11You’re working with a large image and want to group similarly coloured segments in the image together. No other informa…
  12. Q12Figure question
  13. Q13Figure question
  14. Q14Consider the following code snippet using scikit-learn: Assume that X_train and y_train are training feature matrix and…
  15. Q15Which of the following code snippets represent correct methods to obtain cross validated performance measure using Leav…
  16. Q16Figure question
  17. Q17You’re building an ‘MLPClassifier‘ for a dataset with a large number of features. The goal is to predict whether a pati…
  18. Q18Which of the following code snippet can correctly plot the elbow graph for feature matrix X (k value is taken from 1 to…
  19. Q19You're working on a binary classification task using the ‘MLPClassifier’ to predict whether a customer will make a purc…
  20. Q20The following code produces an output of 0.9125. How is the output expected to change if we increase the max_depth valu…
  21. Q21Consider the following block of code for the binary classification dataset. Shape of feature matrix is (10000,4) and la…
  22. Q22Given the following code using BaggingClassifier with KNeighborsClassifier as the base estimator: Which of the followin…
  23. Q23Consider a dataset representing various attributes of red wine, loaded into a Pandas DataFrame named data using the fol…
  24. Q24Consider the following Python code snippet that demonstrates the use of SGDClassifier from scikit-learn: Choose the cor…
  25. Q25Which of the following observations warrant use of SGD model?
  26. Q26Figure question
  27. Q27Figure question
  28. Q28consider the below code : keep following symbols in mind: >>>: Represents input code # : Represents comment in a code .…
  29. Q29Consider the following code snippet using scikit-learn: Assume all the necessary imports and X, y to be the training da…
  30. Q30Consider following code: Which of the following options can not be printed?
  31. Q31When using a Support Vector Classifier (SVC) in scikit-learn with different values of the regularization parameter (C),…
  32. Q33Consider the following code and its output: keep following symbols in mind: >>>: Represents input code # : Represents c…
  33. Q34What will be the output of the following code?
  34. Q35Consider the following code snippet: What will be the output of the following code:
  35. Q36Consider the following code. How many DecisionTreeClassifier models will be trained internally?
  36. Q37Please consider the following data and code for a regression problem with following symbols in mind: >>>: Represents in…
  37. Q38Please consider the following data and code for a regression problem with following symbols in mind: >>>: Represents in…