The dataset describes 6439 rows of news from different sources in Tanzania.These news are in 5 different news categories from national news to entertainment news.
Your goal is to accurately classify each swahili news content into five specified categories below:
Kitaifa (National)
Kimataifa (International)
Biashara (Business)
Michezo (Sports)
Burudani (Entertainment)
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Files
Description
Files
Full list of variables and their explanations.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Train contains the target. This is the dataset that you will use to train your model.
This shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the ID must be correct.
'%3e%3cg id='b'%3e%3cpath id='a' d='M0-95V0h50' transform='rotate(18 0 -95)'/%3e%3cuse xlink:href='%23a' transform='scale(-1 1)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(72)'/%3e%3cuse xlink:href='%23b' transform='rotate(144)'/%3e%3cuse xlink:href='%23b' transform='rotate(216)'/%3e%3cuse xlink:href='%23b' transform='rotate(288)'/%3e%3c/g%3e%3c/svg%3e)