Statistical Methods and Machine Learning PCAD-31 Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   Which scipy.stats function is used to compute the skewness of a dataset?

   • Ascipy.stats.kurtosis()
   • Bscipy.stats.skew()
   • Cscipy.stats.mode()
   • Dscipy.stats.variation()
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   What is the primary purpose of a test dataset in supervised machine learning?

   • ATo tune hyperparameters
   • BTo increase the size of the training data
   • CTo train the model's parameters
   • DTo evaluate the model's performance on unseen data
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   After training a model with model.fit(X_train, y_train), how do you generate predictions on the test set?

   • Amodel.score(X_test)
   • Bmodel.predict(X_test)
   • Cmodel.transform(X_test)
   • Dmodel.fit(X_test)
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   In scikit-learn, which method is used to train a supervised model on the training data?

   • Apredict()
   • Bfit()
   • Ctransform()
   • Dscore()
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   What is the correct order of steps in a typical model evaluation workflow?

   • ASplit data, predict on test set, train model, compute metrics, assess performance
   • BSplit data, train model, predict on test set, compute metrics, assess performance
   • CCompute metrics, split data, train model, predict on test set, assess performance
   • DTrain model, split data, compute metrics, predict on test set, assess performance
   Reveal Solution Discussion Select an answer first