Page 109 - Data Science Algorithms in a Week

Random Forest

Problems

1. Let us take another example of playing chess from Chapter 2, Naive Bayes. How
would you classify a data sample (warm,strong,spring,?) according to the
random forest algorithm?

Temperature Wind Season Play
Cold Strong Winter No
Warm Strong Autumn No

Warm None Summer Yes
Hot None Spring No

Hot Breeze Autumn Yes
Warm Breeze Spring Yes
Cold Breeze Winter No

Cold None Spring Yes
Hot Strong Summer Yes
Warm None Autumn Yes

Warm Strong Spring ?

2. Would it be a good idea to use only one tree and a random forest? Justify your
answer.
3. Can cross-validation improve the results of the classification by the random
forest? Justify your answer.

Analysis:

1. We run the program to construct the random forest and classify the feature
(Warm, Strong, Spring).

Input:

source_code/4/chess_with_seasons.csv
Temperature,Wind,Season,Play
Cold,Strong,Winter,No
Warm,Strong,Autumn,No
Warm,None,Summer,Yes

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