Let's say the following is a database of 20 Cancer (C) and non-cancer (NC) the features height, body weight and heart rate as

summarized in Table-1. Use a decision tree and find out arrange the features in an order of most significant to the least significant for this

classification. Compute the entropies in each step and justify your feature arrangements.

Seconocen Toft Quora Marts for Question 10 A. 100 Upload answer sheets Q5. Let's say the following is a database of 20 Cancer (C) and non-cancer (NC) the features height, body weight and heart rate a summarized in Table-1. Use a decision tree and find out arrange the features in an order of most significant to the least significant for this classification Compute the entropies in each step and justify your feature arrangements. Table-1 Height (in ft) Body weight Heart rate Class (in kg) Tall Very high High NC Short Normal Normal NC Tall High Low Short High Normal NC Tall Normal Normal NC Tall Normal High NC Tall Normal Low C Short High Low C Short Normal High NC Seconocen Toft Quora Marts for Question 10 A. 100 Upload answer sheets Q5. Let's say the following is a database of 20 Cancer (C) and non-cancer (NC) the features height, body weight and heart rate a summarized in Table-1. Use a decision tree and find out arrange the features in an order of most significant to the least significant for this classification Compute the entropies in each step and justify your feature arrangements. Table-1 Height (in ft) Body weight Heart rate Class (in kg) Tall Very high High NC Short Normal Normal NC Tall High Low Short High Normal NC Tall Normal Normal NC Tall Normal High NC Tall Normal Low C Short High Low C Short Normal High NC