Primary competition visual

Mtoto News Childline Kenya Call Volume Prediction Challenge

Helping Kenya
2000 Zindi Points
Challenge completed ~6 years ago
Forecast
264 joined
37 active
Starti
Apr 11, 19
Closei
Aug 04, 19
Reveali
Aug 05, 19
About

The data have been split into a test and training set. The training set contains all the calls (over 135,000) that were received from 1 January 2016 to 12 July 2016. You are asked to estimate the number of incoming calls per hour per day from 13 July 2016 to 6 September 2016.

Variables in Train.csv:

Each call contains the following fields

Variable Definition

calldate Date (month-day-year) and time of the call

cc_status Case status

maincat Main category call falls into

subcat1 Subcategory call falls under

casepriority Priority of the case

referal Place case referred to

caller_gender Gender of the caller

caller_age Age of the caller

caller_county Area where the call came from

child_age Age of the child in case

child_gender Gender of the child in case

child_county Area where the child is from

parent_age Age of the parent

parent_gender Gender of the parent

parent_county Area where the child is from

Abuser_Relationship Relationship abuser has with the child in case

Neglector_Relationship Relationship neglector has with the child in case

Physical_abuser_Relationship Relationship physical abuser has with the child in case

Files
Description
Files
School data.
Train contains the target. This is the dataset that you will use to train your model.
Weather data.
Public holiday data.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.