Question 1
Which variant of the Naive Bayes Classifier will be most suitable to predict the Gender in the given dataset?
CategoricalNB
BernoulliNB
MultinomialNB
GaussianNB
Which variant of the Naive Bayes Classifier will be most suitable to predict the Gender in the given dataset?
CategoricalNB
BernoulliNB
MultinomialNB
GaussianNB
Consider the following time series analysis code:
In the above code, what is the primary role of the parameter d=1 in order=(1,1,1)?
It controls the number of lag observations in the model
It represents the number of times the data is differenced
It defines the size of the moving average window
It determines the forecast horizon
In the following question, an Assertion (A) is followed by a Reason (R). Choose the correct option from the choices given below: Assertion (A): In classification problems, precision should always be maximized over recall Reason (R): Recall is independent of false negatives
Both A and R are true, and R is the correct explanation of A
Both A and R are true, but R is not the correct explanation of A
A is true, but R is false
A is false, but R is true
Both A and R are false
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The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 10 May 2026, in the January 2026 term: 26 questions for 101 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | MLP End Term 10 May 2026 at a glance |
|---|---|
| Term | January 2026 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 26 |
| Marks | 101 |
| Duration | 180 min |
| MCQ | 9 |
| Written | 8 |
| MSQ | 9 |
| Official paper | Machine Learning Practice 06 May 26 |
| Negative marking | No negative marking. |
| Updated |