AI in Healthcare
Authored by MYRA ARORA
Computers
10th Grade
Used 1+ times
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6 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of text preprocessing in the disease prediction model?
To increase the size of the dataset.
To convert raw text into a format suitable for machine learning models.
To identify diseases directly from symptoms.
To predict the accuracy of the model.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following steps is NOT part of the text preprocessing pipeline?
Tokenization
Vectorization
Model Training
Stemming
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of CountVectorizer in the model
To preprocess text by stemming and lemmatization.
To convert text data into numerical feature vectors.
To predict diseases based on symptoms.
To split the dataset into training and testing sets.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why do we use the LogisticRegression model in the project?
It is designed for text preprocessing tasks.
It performs well for multiclass classification problems.
It reduces the number of tokens in the dataset.
It is faster than all other machine learning models.
5.
OPEN ENDED QUESTION
3 mins • Ungraded
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6.
OPEN ENDED QUESTION
3 mins • Ungraded
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