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What are prediction techniques?

This method is performed on a dataset to predict the response variable based on a predictor variable or used to study the relationship between a response and predictor variable, for example, student test scores compared to demographic information such as income, education of parents, etc.

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Introduction

XLMiner supports all facets of the data mining process, including data partition, classification, prediction, and association. The third stage, prediction, is used to predict the response variable value based on a predictor variable. XLMiner functionality features four different prediction methodologies: multiple linear regression, k-nearest neighbors, regression tree, and neural network. Each method has its own unique features and the selection of one is typically determined by the nature of the variables involved.

How to Access Prediction Methods in Excel

Launch Excel. In the toolbar, click XLMINER PLATFORM . In the ribbon's Data Mining section, click Predict . In the drop-down menu, select a prediction method.

Prediction Methods

Multiple Linear Regression

This method is performed on a dataset to predict the response variable based on a predictor variable or used to study the relationship between a response and predictor variable, for example, student test scores compared to demographic information such as income, education of parents, etc.

k-Nearest Neighbors

Like the classification method with the same name above, this prediction method divides a training dataset into groups of k observations using a Euclidean Distance measure to determine similarity between “neighbors”. These groups are used to predict the value of the response for each member of the validation set.

Regression Tree

A Regression tree may be considered a variant of a decision tree, designed to approximate real-valued functions instead of being used for classification methods. As with all regression techniques, XLMiner assumes the existence of a single output (response) variable and one or more input (predictor) variables. The output variable is numerical. The general regression tree building methodology allows input variables to be a mixture of continuous and categorical variables. A decision tree is generated when each decision node in the tree contains a test on some input variable's value. The terminal nodes of the tree contain the predicted output variable values.

Neural Network

Artificial neural networks are based on the operation and structure of the human brain. These networks process one record at a time and “learn” by comparing their prediction of the record (which as the beginning is largely arbitrary) with the known actual value of the response variable. Errors from the initial prediction of the first records are fed back into the network and used to modify the networks algorithm the second time around. This continues for many, many iterations.

Prediction Methods Summary

A technique performed on a database either to predict the response variable value based on a predictor variable or to study the relationship between the response variable and the predictor variables. XLMiner supports the use of four prediction methods: multiple linear regression, k-nearest neighbors, regression tree, and neural network.

Resources

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What does 90% rain mean?

When we say there's a "30% chance of rain," what does it really mean? When we give a percent chance of rain, we as meteorologists know that it will rain at some point that day. The percent is the amount of area coverage or people that will see rain for sure.

When we say there's a "30% chance of rain," what does it really mean?

Example video title will go here for this video

MACON, Ga. — With all of the rain in the forecast and questions on social media from our viewers, we want to give you some insight on weather lingo.

When we say there's a "30% chance of rain," what does it really mean?

When we give a percent chance of rain, we as meteorologists know that it will rain at some point that day. The percent is the amount of area coverage or people that will see rain for sure. For example, Wednesday calls for a 30% chance of rain. We are 100% confident that 30% of Central Georgia will see rain on that day. Our confidence is high when we look at the chance of rain or precipitation one or two days out. Our confidence in the forecast is lower as we look farther in the future. That being said, chances of rain for a specific day in the future can change day-by-day or hour-by-hour. Right now, the chance for rain on Monday is 60%, but that is likely to change as we get closer to the beginning of next week. Confidence in our percent chance of rain can also change with the seasons. In the summertime, our confidence about the chances for rain are higher because we can expect afternoon showers and storms almost every day.

That is what we mean by percent chance of rain or precipitation.

If you want any other weather lingo to be defined, you can email the 13WMAZ Weather Team at WMAZ-WEATHER@13wmaz.com.

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