How to collect rules from model to predict class of data?

I am trying to extract rules from a file, to subset a data set:

file1: (3 columns with numeric values,correct class column, empty predicted class column)

For file 2: Line# is to indicate addition of rules (e.g. 3 means add line 3 rule)

file2:(Line#, column, numeric, (less or =) numeric, (more than)numeric) column: is the column number in the original dataset numeric: is the value to compare

The line number indicating the e.g. case of 2: Rule: file1 assign cat if column[3]=<2.04

how to extract rules from a file in this format to assign predicted classes to file1:

  Line# column numeric =<numeric >numeric
   1   3    2.04    cat     2
   2    2   1.5      3      4
   3    3   4.6      5      dog
   4    1   1.2     dog     cat
   5    1   1.88    bird    cat

Expected output e.g.:

e.g. case of until line 5 line tracking (2,3,4, bird or cat)

if (column[3]>2.04)& (column[2]=<1.5)& (column[3]=<4.6) & (column[1]=<1.88) assign bird

if (column[3]>2.04)& (column[2]=<1.5)& (column[3]=<4.6) & (column[1]>1.88) assign cat