If machine learning model output doesnot involves target variable then that model is called as

Related MCQs

• If machine learning model output involves target variable then that model is called as
• Which of the following are correct statement(s) about stacking? 1. A machine learning model is trained on predictions of multiple machine learning models 2. A Logistic regression will definitely work better in the second stage as compared to other classification methods 3. First stage models are trained on full / partial feature space of training data
• Which of the following are correct statement(s) about stacking? A machine learning model is trained on predictions of multiple machine learning models A Logistic regression will definitely work better in the second stage as compared to other classification methods First stage models are trained on full / partial feature space of training data
• Machine learning techniques differ from statistical techniques in that machine learning methods
• Machine learning techniques differ from statistical techniques in that machine learning methods
• In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
• In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
• In machine learning, an algorithm (or learning algorithm) is said to be unstable if a small change in training data cause the large change in the learned classifiers. True or False: Bagging of unstable classifiers is a good idea
• A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?
• The output of training process in machine learning is