In data analytics, which algorithm is commonly used for predictive modeling when the target variable is categorical?   Â
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.
In which state was the new spider species, ‘Steriphopus wangala,’ recently discovered, adding to its biodiversity?
Consider the following statements regarding Pradhan Mantri Kaushal Vikas Yojana (PMKVY) Scheme:
I. It is run under the Digital India Mission.
Which country is partnering with India in the Infrastructure Financing Bridge aimed at reducing the cost of capital for infrastructure projects?
According to the S&P Global Ratings, India is likely to grow at ______ for the next three years, retaining its tag as the fastest-growing major economy.
Which organization imposed a Rs 1.32 crore penalty on Punjab National Bank?
Which organization manages the Maitri Research and Cultural Partnerships Grants?
Tata Projects plans to raise up to _______ through non-convertible debentures (NCDs), a long-term instrument, and Rs 200 crore through commercial paper,...
By what percentage did India’s goods exports decline in August 2024 compared to the previous year?
Recently the PM of India, Shri Narendra Modi inaugurated Terminal 2 in which of the following International Airport?