Test Data about machinelearning-detecting-twitter-bots HOT 1 CLOSED

This is not a bug in our code, please stop creating redundant issues for your doubts.
Now to answer your question, this is a custom classifier that trains on a set of features available in our input if you do not pass in headers there is no way for the algorithm to identify the feature vs target. Your options at this point are: Change the feature names in the code at your end, keep the headers same and modify the data. You cannot navigate around having non-headers. Also, the header order does not matter, the code should pick it up as long as the name of header is same.

from machinelearning-detecting-twitter-bots.