Table of Contents
What will be the modeling technique used to predict a categorical variable in R?
Which technique is used to predict categorical responses? Classification methods are used to predict binary or multi class target variable.
What do you use for categorical data in R?
Factor in R is also known as a categorical variable that stores both string and integer data values as levels. Factor is mostly used in Statistical Modeling and exploratory data analysis with R.
Which algorithm is best for prediction?
1 — Linear Regression Linear regression is perhaps one of the most well-known and well-understood algorithms in statistics and machine learning. Predictive modeling is primarily concerned with minimizing the error of a model or making the most accurate predictions possible, at the expense of explainability.
Which of the following types of algorithms is used to predict a wide range of numerical values?
Regression algorithms in Machine Learning are an important concept with a lot of use cases. The future values are predicted with the help of regression algorithms in Machine Learning. The input data/historical data is used to predict a wide range of future values using regression.
Does Kmeans work with categorical data?
The k-Means algorithm is not applicable to categorical data, as categorical variables are discrete and do not have any natural origin. So computing euclidean distance for such as space is not meaningful.
Which algorithm can be used for both continuous and binary dependent variables?
You can use these both with continue indipendent variables both with categorial or binary. Use logistic regression for your analysis.
How do you visualize categorical data?
To visualize a small data set containing multiple categorical (or qualitative) variables, you can create either a bar plot, a balloon plot or a mosaic plot….Visualizing Multivariate Categorical Data
- Prerequisites.
- Bar plots of contingency tables.
- Balloon plot.
- Mosaic plot.
- Correspondence analysis.
What does factor () do in R?
The factor function is used to create a factor. The only required argument to factor is a vector of values which will be returned as a vector of factor values. Both numeric and character variables can be made into factors, but a factor’s levels will always be character values.
Which machine learning algorithms are used for prediction?
Naive Bayes is used primarily to predict the probability of different classes based on multiple attributes. It is mostly used in text classification while mining the data. If you look at the applications of Naive Bayes, the projects you always wanted to do can be best done by this family of algorithms.
How many algorithms are there in machine learning?
There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised and reinforcement.