SMSA

The properties of Standard Metropolitan Statistical Areas (a standard Census Bureau designation of the region around a city) in the United States, collected from a variety of sources. The data include information on the social and economic conditions in these areas, on their climate, and some indices of air pollution potentials. The dataset has 59 observations on 15 variables.

Optimal k Nearest Neighbours Ensemble is an ensemble of base k nearest neighbour models each constructed on a bootstrap sample with a random subset of features. k closest observations are identified for a test point "x" (say), in each base k nearest neighbour model to fit a stepwise regression to predict the output value of "x". The final predicted value of "x" is the mean of estimates given by all the models. The implemented model takes training and test datasets and trains the model on training data to predict the test data. Ali, A., Hamraz, M., Kumam, P., Khan, D.M., Khalil, U., Sulaiman, M. and Khan, Z. (2020) <DOI:10.1109/ACCESS.2020.3010099>.

Amjad Ali

OkNNE

A k-Nearest Neighbours Ensemble via Optimal Model Selection for
Regression

Zardad Khan

Muhammad Hamraz

SMSA function

A data frame with 59 observations on the following 15 variables.<dl>
 <dt><code>JanTemp</code></dt>
<dd>Mean January temperature (in degrees Farenheit)</dd> <dt><code>JulyTemp</code></dt>
<dd>Mean July temperature (in degrees Farenheit)</dd> <dt><code>RelHum</code></dt>
<dd>Relative Humidity</dd> <dt><code>Rain</code></dt>
<dd>Annual rainfall (in inches)</dd> <dt><code>Mortality</code></dt>
<dd>Age adjusted mortality</dd> <dt><code>Education</code></dt>
<dd>Median education</dd> <dt><code>PopDensity</code></dt>
<dd>Population density</dd> <dt><code>PerNonWhite</code></dt>
<dd>Percentage of non whites</dd> <dt><code>PerWC</code></dt>
<dd>Percentage of white collour workers</dd> <dt><code>pop</code></dt>
<dd>Population</dd> <dt><code>popPerhouse</code></dt>
<dd>Population per household</dd> <dt><code>income</code></dt>
<dd>Median income</dd> <dt><code>HCPot</code></dt>
<dd>HC pollution potential</dd> <dt><code>S02Pot</code></dt>
<dd>Sulfur Dioxide pollution potential</dd> <dt><code>NOx</code></dt>
<dd>Nitrous Oxide (target variable)</dd> 
</dl>

Format

Standard Metropolitan Statistical Areas — SMSA

A data frame with 59 observations on the following 15 variables.<dl>
 <dt><code>JanTemp</code></dt>
<dd>Mean January temperature (in degrees Farenheit)</dd>

 <dt><code>JulyTemp</code></dt>
<dd>Mean July temperature (in degrees Farenheit)</dd>

 <dt><code>RelHum</code></dt>
<dd>Relative Humidity</dd>

 <dt><code>Rain</code></dt>
<dd>Annual rainfall (in inches)</dd>

 <dt><code>Mortality</code></dt>
<dd>Age adjusted mortality</dd>

 <dt><code>Education</code></dt>
<dd>Median education</dd>

 <dt><code>PopDensity</code></dt>
<dd>Population density</dd>

 <dt><code>PerNonWhite</code></dt>
<dd>Percentage of non whites</dd>

 <dt><code>PerWC</code></dt>
<dd>Percentage of white collour workers</dd>

 <dt><code>pop</code></dt>
<dd>Population</dd>

 <dt><code>popPerhouse</code></dt>
<dd>Population per household</dd>

 <dt><code>income</code></dt>
<dd>Median income</dd>

 <dt><code>HCPot</code></dt>
<dd>HC pollution potential</dd>

 <dt><code>S02Pot</code></dt>
<dd>Sulfur Dioxide pollution potential</dd>

 <dt><code>NOx</code></dt>
<dd>Nitrous Oxide (target variable)</dd>

 
</dl>

SMSA: Standard Metropolitan Statistical Areas

Description

Usage

Arguments

Format

References

Examples