Submission Guidelines

The given dataset includes two files:

A. train.csv (training file)

There are 40,000 rows for training having 6 attributes:

index
title
text
subject
date
class (target attribute)

The task is to train a model and predict the news categories for row samples given in "test.csv"

B. test.csv (test file)

There are 4000 data samples in test.csv with following attributes:

index
title
text
subject
date

The trained model should output one of the two classes "Fake" or "Real". The given text of news may have non-alphabetic values and some missing data, the participant will have to process the data accordingly.

The final submission must include:

output.csv (single file having results for "test.csv" which contains 4000 samples of data )

For grading, "output.csv" file must be uploaded in the "My Submission" section of this challenge.

The first row should correspond to the column names "index" and "class".

How to convert python dictionary to CSV?

# importing pandas as pd 
import pandas as pd 
   
# list of name, degree, score
nme = ["aparna", "pankaj", "sudhir", "Geeku"]
deg = ["MBA", "BCA", "M.Tech", "MBA"]
   
# dictionary of lists 
dict = {'name': nme, 'degree': deg} 
     
df = pd.DataFrame(dict)
  
# saving the dataframe
df.to_csv('file1.csv', index=False)

How to make a submission?

Click on "My Submission"
On the next page, click on "+ New Submission"
Upload your CSV in the next page and click on "Submit for Review"

Please note:

You must submit your CSV file by uploading the CSV in the "My Submissions" section of this challenge.
Your submission will be auto graded and you will be able to see your results instantly.
If there is any error in the submission, your final score will be marked as 0.

Yerram Varun's Certificate

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