Question
In data analytics, which algorithm is commonly used for
predictive modeling when the target variable is categorical?   ÂSolution
A decision tree is a popular algorithm for predictive modeling when the target variable is categorical. It splits the dataset into branches based on feature values, leading to predictions that classify the data into categories. Decision trees are simple to understand, interpret, and can handle both categorical and continuous input features. Why Other Options are Wrong: a) Linear regression is used for continuous target variables, not categorical ones. b) K-means clustering is an unsupervised learning algorithm for grouping data, not for classification. d) PCA is a dimensionality reduction technique, not a predictive modeling algorithm. e) SVD is a matrix factorization technique used in data reduction, not in classification tasks.
Which of the following is an advantage of food processing?
One kilocalorie equals:
This substance in food interferes with thyroxin and can produce goiter. It is called:
EDTA is the example of ……
Maturity index for Avocado is:
Sterilization using irradiation is done by ________
Atomization is a unit operation, which is used for
a)Â Â Â Â Â Â Size-reduction operation
b)Â Â Â Â Â It is used for the Solid food ...
Which of the following refers to the addition of microorganisms to the diet in order to provide health benefits beyond basic nutritive value?
secondary metabolite are produced during --------- of bacterial growth
In controlled atmospheric storage of climacteric fruit which of the following gases are to be controlled
a)Â Â Â Co2
b)Â Â Â O2