In relation to machine learning classif‌ication, which two of the following are the correct features of ID3 (Iterative Dischotomiser 3) algorithm?

Which of the following features or algorithms are supported by the Scikit—Learn tool?

You are part of data science team that is working for a national fast-food chain. You create a simple report that shows trend: Customers who visit the store more often and buy smaller meals spend more than customers who visit less frequently and buy larger meals. What is the most likely diagram that your team created?

You work for an organization that sells a spam filtering service to large companies. Your organization wants to transition its product to use machine learning. It currently a list Of 250,00 keywords. If a message contains more than few of these keywords, then it is identified as spam. What would be one advantage of transitioning to machine learning?

You work for a music streaming service and want to use supervised machine learning to classify music into different genres. Your service has collected thousands of songs in each genre, and you used this as your training data. Now you pull out a small random subset of all the songs in your service. What is this subset called?

In traditional computer programming, you input commands. What do you input with machine learning?

Which algorithms has these applications? 1. Scene classification 2. Induction motors fault diagnosis 3. Analog circuit fault diagnosis 4. Corporate financial distress prediction

Which of the following boosting algorithms uses the level-wise tree growth?

With respect to multilayer neural network, what does the neurons in the hidden layer correspond to?

In data mining, which of the following is NOT a data reduction technique?

Which statements is correct? Statement 1: In stochastic simulation environments, machine learning is performed by combining multiple transmutations. Statement 2: Stochastic simulation is used for modelling a system whose operation can be directly captured by deterministic rules.