Betty is developing a machine learning algorithm that looks at vast amount of data collected over 100 years and checks for relationships between humidity, temperature, and rainfall. what form of machine learning is she developing?

a. regression
b. association
c. big data
d. classification
e. clustering

Betty is developing a machine learning algorithm that looks at a vast amount of data that is collected over 100 years, and She also wants to check the relationship among variables such as humidity, temperature, and rainfall in the given data.

So, the correct answer to this question is b. She is developing an association machine learning algorithm.

Because the association tells the relationship between variables. She used the association to find the relationship among variables such as humidity, temperature, and rainfall.

While the other options are not correct because:

Regression is used to find out the cause and effect relationship between dependent and independent variables. Big data is the biggest field of data analysis, so this option does not best suit this context. Classification is used to classify data, or organizing data into their related group. While clustering is the task of dividing the population into a number of groups such that populations in the same groups are more similar to other populations in the same group than those in other groups. so these are all incorrect options to this question except the "b" option i.e association.