LAB1
LAB1
LAB1
Name: ID
Course Section
How many instances are listed in the dataset? How many attributes? What’s the attributes
names? What type of attributes are these? which one is the class?
Instances: 5
Attributes: 7
Type: Nominal
Class : Reg 1 , Reg10 , Reg13
Apply proper preprocessing tasks and remove the instances from 2 to 4.
if (j != i)
result += term;
Add a Nominal attribute status set labels ok and not ok then give values.
Replace all missing Nominal attributes with “x” and Numeric attributes with 200.
(int)interpolate(f, 3, 4
Replace the value of the nominal attribute colour with the following data: white becomes
W and Black becomes B
Replace the data of status with the following:ok->yes and not ok->no