) The data in the table 1 was collected from random mobile phone users (subscribers) along University Way, Nairobi. The attributes are, Calls: average daily number of calls made; Length: average...

Use the data provided in the table Table 1. Add one more attribute, that is the average
subscriber total talk time. Discretize each attribute by splitting it into three equal parts e.g.
high; low; mid. The applicable attributes now are Calls, SMS, Average Total talk time. Using
the ID3 decision tree algorithm, establish the root node of your decision tree.

Extracted text: ) The data in the table 1 was collected from random mobile phone users (subscribers) along University Way, Nairobi. The attributes are, Calls: average daily number of calls made; Length: average length of phone calls made in minutes; SMS messages: average daily number of short message service (SMS) sent. No details of received calls and received SMS messages was collected. Subscriber Calls Length SMS Customer Class 1 1.9 0.7 5.1 student 6.5 1.5 7.2 employee 3 1.5 0.9 5.6 student 4 9.2 0.9 4.5 employee 5 5.1 2.2 10.2 employee 1.7 0.6 4.5 student 7 3.5 0.4 5.3 student 8 12.1 0.5 2.5 employee 9 8.2 0.8 4.9 employee 10 6.1 0.4 4.9 student Table 1: subscriber data