ICHomes

Characteristics of homes sold in Iowa City, IA from 2005 to 2008 as reported
by the county assessor's office.

datasets

Meta-package for statistical and machine learning with a unified
interface for model fitting, prediction, performance assessment, and
presentation of results.  Approaches for model fitting and prediction of
numerical, categorical, or censored time-to-event outcomes include
traditional regression models, regularization methods, tree-based methods,
support vector machines, neural networks, ensembles, data preprocessing,
filtering, and model tuning and selection.  Performance metrics are provided
for model assessment and can be estimated with independent test sets, split
sampling, cross-validation, or bootstrap resampling.  Resample estimation
can be executed in parallel for faster processing and nested in cases of
model tuning and selection.  Modeling results can be summarized with
descriptive statistics; calibration curves; variable importance; partial
dependence plots; confusion matrices; and ROC, lift, and other performance
curves.

Brian Smith

MachineShop

Machine Learning Models and Tools

ICHomes function

A data frame with 753 observations of 17 variables:<dl>
 <dt>sale_amount</dt>
<dd>sale amount in dollars.</dd> <dt>sale_year</dt>
<dd>sale year.</dd> <dt>sale_month</dt>
<dd>sale month.</dd> <dt>built</dt>
<dd>year in which the home was built.</dd> <dt>style</dt>
<dd>home stlye (Home/Condo)</dd> <dt>construction</dt>
<dd>home construction type.</dd> <dt>base_size</dt>
<dd>base foundation size in sq ft.</dd> <dt>add_size</dt>
<dd>size of additions made to the base foundation in sq ft.</dd> <dt>garage1_size</dt>
<dd>attached garage size in sq ft.</dd> <dt>garage2_size</dt>
<dd>detached garage size in sq ft.</dd> <dt>lot_size</dt>
<dd>total lot size in sq ft.</dd> <dt>bedrooms</dt>
<dd>number of bedrooms.</dd> <dt>basement</dt>
<dd>presence of a basement (No/Yes).</dd> <dt>ac</dt>
<dd>presence of central air conditioning (No/Yes).</dd> <dt>attic</dt>
<dd>presence of a finished attic (No/Yes).</dd> <dt>lon,lat</dt>
<dd>home longitude/latitude coordinates.</dd>
</dl>

Format

Iowa City Home Sales Dataset — ICHomes

A data frame with 753 observations of 17 variables:<dl>
 <dt>sale_amount</dt>
<dd>sale amount in dollars.</dd>

 <dt>sale_year</dt>
<dd>sale year.</dd>

 <dt>sale_month</dt>
<dd>sale month.</dd>

 <dt>built</dt>
<dd>year in which the home was built.</dd>

 <dt>style</dt>
<dd>home stlye (Home/Condo)</dd>

 <dt>construction</dt>
<dd>home construction type.</dd>

 <dt>base_size</dt>
<dd>base foundation size in sq ft.</dd>

 <dt>add_size</dt>
<dd>size of additions made to the base foundation in sq ft.</dd>

 <dt>garage1_size</dt>
<dd>attached garage size in sq ft.</dd>

 <dt>garage2_size</dt>
<dd>detached garage size in sq ft.</dd>

 <dt>lot_size</dt>
<dd>total lot size in sq ft.</dd>

 <dt>bedrooms</dt>
<dd>number of bedrooms.</dd>

 <dt>basement</dt>
<dd>presence of a basement (No/Yes).</dd>

 <dt>ac</dt>
<dd>presence of central air conditioning (No/Yes).</dd>

 <dt>attic</dt>
<dd>presence of a finished attic (No/Yes).</dd>

 <dt>lon,lat</dt>
<dd>home longitude/latitude coordinates.</dd>


</dl>

ICHomes: Iowa City Home Sales Dataset

Description

Usage

Arguments

Format