- Logistic regression
- Naive Bayes
- K-Nearest Neighbors
- Decision Tree
- Support Vector Machines
Which classification algorithm is best
Naive Bayes classifier algorithm gives the best type of results as desired compared to other algorithms like classification algorithms like Logistic Regression, Tree-Based Algorithms, Support Vector Machines.
Hence it is preferred in applications like spam filters and sentiment analysis that involves text.
What are the 4ps of customer service
The marketing mix, also known as the four P’s of marketing, refers to the four key elements of a marketing strategy: product, price, place and promotion.
What is cluster technique
Clustering techniques consider data tuples as objects. They partition the objects into groups, or clusters, so that objects within a cluster are “similar” to one another and “dissimilar” to objects in other clusters.
What do you mean by cluster analysis
Cluster analysis is a statistical method used to group similar objects into respective categories.
It can also be referred to as segmentation analysis, taxonomy analysis, or clustering.
Why clustering is used
Clustering is used to identify groups of similar objects in datasets with two or more variable quantities.
In practice, this data may be collected from marketing, biomedical, or geospatial databases, among many other places.
What is the difference between classification and prediction
Classification is the process of identifying which category a new observation belongs to based on a training data set containing observations whose category membership is known.
Predication is the process of identifying the missing or unavailable numerical data for a new observation.
Why do we use clustering
They can cluster different customer types into one group based on different factors, such as purchasing patterns.
The factors analysed through clustering can have a big impact on sales and customer satisfaction, making it an invaluable tool to boost revenue, cut costs, or sometimes even both.
What is an example of clustering
Retail companies often use clustering to identify groups of households that are similar to each other.
For example, a retail company may collect the following information on households: Household income.
Household size.
What is difference between classification and regression
The key distinction between Classification vs Regression algorithms is Regression algorithms are used to determine continuous values such as price, income, age, etc. and Classification algorithms are used to forecast or classify the distinct values such as Real or False, Male or Female, Spam or Not Spam, etc.
Which of the following is not clustering method
Hence, the K – nearest neighbor method is not a clustering method.
References
https://www.educative.io/answers/classification-vs-clustering
https://monkeylearn.com/blog/classification-algorithms/
https://www.qualtrics.com/experience-management/brand/customer-segmentation/
