# CS725: Assignment 2 — Data

来源：https://www.kaggle.com/competitions/cs725-assignment-2/data

采集时间：2026-10-24T10:02:15Z

File descriptions
train.csv
- the training set
test.csv
- the test set
sample_submission.csv
- a sample submission file in the correct format
Data fields
page_likes
- number of likes the facebook page has (shows user support for a wall posts)
page_checkin
-number of people visited the place (only applicable to places, institutions, hotels, etc. pages )
daily_crowd
- count of users that are engaged with the page ( who frequently comment, share posts of page)
page_category
- defines the category of source of document ( eg: brand, company, artist, etc.)
F1-F8
- These features are aggregated by page, by calculating min, max, average, median and standard deviation of essential features.
c1
- The total number of comments before selected base date/time
c2
- The number of comments in last 24 hours, relative to base date/time.
c3
- The number of comments in last 48 to last 24 hours relative to base date/time.
c4
- The number of comments in the first 24 hours after the publication of post but before base date/time.
c5
- The difference between c2 and c3.
base_time
- Selected time in order to simulate the scenario. ( decimal encoding 0-71)
post_length
- Character count in the
share_count
- This features counts the no of shares of the post, that how many peoples had shared this post on to their timeline.
promotion
- To reach more people with posts in News Feed, individual promote their post and this features tells that whether the post is promoted(1) or not(0).
h_target
- Hours after base_time when target variable is recorded
post_day
- day of week when post was posted
basetime_day
- day of week corresponding to base_time (when data was collected)
target
- volume of comments received after h_target hours of base_time
1: High volume of comments
2: Medium volume of comments
3: Low volume of comments