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Please note that the first variable is the predicted variable. By using the table below, you can make a guess about "Snow" levels.

Please note, the first row is the earliest (oldest) observation and the last row is the most recent (newest) observation. For example, in the table below, the first day when the observer started recording, there was no snow (0 inch or cm), temperature was 2 degrees Celsius (it is okay if you have Fahrenheit) and cloudiness was at 50%. On the last day, again there was no snow, temperature was -5 degrees Celsius and cloudiness was at 100%.

Snow T_Celsius Clouds_Percent
0 2 50
0 1 80
0 5 50
0 2 80
0 -2 20
10 -2 100
15 2 100
20 -2 100
0 -5 100

Using the Flexible App #1, you can fastPredict what to expect if temperature is 0 degrees Celsius and coudiness is 100% the next day. Access the Flexible App #1

With the Flexible App #2, you can make a prediction for the "Weather" variable in the table below. The prediction will be whether the weather will be sunny, cloudy or snowy. Note that it cannot tell you rainy weather, because there is no past information about that in the dataset. Access the Flexible App #2

Weather T_Celsius Clouds_Percent
Cloudy 2 50
Cloudy 1 80
Cloudy 5 50
Cloudy 2 80
Sunny -2 20
Snow -2 100
Snow 2 100
Snow -2 100
Cloudy -5 100