You are working on a email spam filtering assignment, while working on this you find there is new word e.g. HadoopExam comes in email, and in your solutions you never come across this word before, hence probability of this words is coming in either email could be zero. So which of the following algorithm can help you to avoid zero probability?

RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a______, as it is scale-dependent.

Scenario: Suppose that Bob can decide to go to work by one of three modes of transportation,

car, bus, or commuter train. Because of high traffic, if he decides to go by car. there is a 50% chance he will be late. If he goes by bus, which has special reserved lanes but is sometimes overcrowded, the probability of being late is only 20%. The commuter train is almost never late, with a probability of only 1 %, but is more expensive than the bus.

Suppose that Bob is late one day, and his boss wishes to estimate the probability that he drove to work that day by car. Since he does not know Which mode of transportation Bob usually uses, he gives a prior probability of 1 3 to each of the three possibilities. Which of the following method the boss will use to estimate of the probability that Bob drove to work?

Which of the following true with regards to the K-Means clustering algorithm?

Refer to image below

Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?

A researcher is interested in how variables, such as GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution, effect admission into graduate school. The response variable, admit/don't admit, is a binary variable.

Above is an example of

What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

Select the correct algorithm of unsupervised algorithm

Question-26. There are 5000 different color balls, out of which 1200 are pink color. What is the maximum likelihood estimate for the proportion of "pink" items in the test set of color balls?

In which of the following scenario you should apply the Bay's Theorem

Your customer provided you with 2. 000 unlabeled records three groups. What is the correct analytical method to use?

Select the statement which applies correctly to the Naive Bayes

Find out the classifier which assumes independence among all its features?

Which of the following is a correct example of the target variable in regression (supervised learning)?

You are working on a Data Science project and during the project you have been gibe a responsibility to interview all the stakeholders in the project. In which phase of the project you are?

Refer to the exhibit.

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.

Based on this information, on which attribute would you expect the next split to be in the decision tree?

What is the best way to evaluate the quality of the model found by an unsupervised algorithm like k-means clustering, given metrics for the cost of the clustering (how well it fits the data) and its stability (how similar the clusters are across multiple runs over the same data)?

Clustering is a type of unsupervised learning with the following goals

What describes a true limitation of Logistic Regression method?