Ozone

<p>A data frame with 366 observations on 13 variables, each
  observation is one day</p>

datasets

A collection of artificial and real-world machine learning
benchmark problems, including, e.g., several data sets from the
UCI repository.

Friedrich Leisch

mlbench

Machine Learning Benchmark Problems

Ozone function

<p></p><table><tr><td>
   1 </td>
<td> Month: 1 = January, ..., 12 = December</td>
</tr><tr><td>
   2 </td>
<td> Day of month</td>
</tr><tr><td>
   3 </td>
<td> Day of week: 1 = Monday, ..., 7 = Sunday</td>
</tr><tr><td>
   4 </td>
<td> Daily maximum one-hour-average ozone reading</td>
</tr><tr><td>
   5 </td>
<td> 500 millibar pressure height (m) measured at Vandenberg AFB</td>
</tr><tr><td>
   6 </td>
<td> Wind speed (mph) at Los Angeles International Airport (LAX)</td>
</tr><tr><td>
   7 </td>
<td> Humidity (%) at LAX</td>
</tr><tr><td>
   8 </td>
<td> Temperature (degrees F) measured at Sandburg, CA</td>
</tr><tr><td>
   9 </td>
<td> Temperature (degrees F) measured at El Monte, CA</td>
</tr><tr><td>
  10 </td>
<td> Inversion base height (feet) at LAX</td>
</tr><tr><td>
  11 </td>
<td> Pressure gradient (mm Hg) from LAX to Daggett, CA</td>
</tr><tr><td>
  12 </td>
<td> Inversion base temperature (degrees F) at LAX</td>
</tr><tr><td>
  13 </td>
<td> Visibility (miles) measured at LAX</td>
</tr></table>

Ozone: Los Angeles ozone pollution data, 1976

Description

Usage

Arguments

Format

Details

Examples

1	Month: 1 = January, ..., 12 = December
2	Day of month
3	Day of week: 1 = Monday, ..., 7 = Sunday
4	Daily maximum one-hour-average ozone reading
5	500 millibar pressure height (m) measured at Vandenberg AFB
6	Wind speed (mph) at Los Angeles International Airport (LAX)
7	Humidity (%) at LAX
8	Temperature (degrees F) measured at Sandburg, CA
9	Temperature (degrees F) measured at El Monte, CA
10	Inversion base height (feet) at LAX
11	Pressure gradient (mm Hg) from LAX to Daggett, CA
12	Inversion base temperature (degrees F) at LAX
13	Visibility (miles) measured at LAX