Computer scienceData scienceMachine learningClassificationDecision tree learning

Decision Trees

Attackers

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Now let's try to solve really important questions.

Here is a table with some of the Game of Thrones battles. There are three columns: number of attackers (attacker_size), number of defenders (defender_size), and an outcome of a battle (attacker_outcome).

Create a decision tree from Games of Thrones battles

Table as a csv file

attacker_outcome,attacker_size,defender_size
win,15000,4000
win,15000,10000
loss,20000,10000
win,100,100
loss,21000,7250
win,3500,3500
loss,100000,1240
win,4500,200

A decision tree was built to predict an outcome of a battle. Here's the final part of the tree and the condition is set to the attacker_size feature:

Predict the outcomes of Game of Thrones battles with attacker_size as final node

You have to go through the table above and predict an outcome of a battle for each sample. Then you compare predictions with actual outcomes, calculate the accuracy of the tree, and enter the answer as a percentage.

Tip: Accuracy is the number of correct predictions divided by the number of all samples.

Enter a number

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