Row 68951

Row ID: 68951 | Dataset Entry | Axioma AXP Content Repository

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Hi All

I am working on a proof of concept to develop mathematical model for compensation of cab drivers. The main objective is that it should enhance customer experience.

I have come up with basic model as below.

C=B+R+P+S+T

B is the Base rate: B=rate×distance or rate×hours

R is the Rating bonus: R=base_bonus×(average_rating−threshold_rating) for ratings above a certain threshold

P is the Peak time incentive: P=peak_rate×hours_worked_during_peak

S is the Safety bonus: S=safety_bonus if no accidents or tickets within a defined period

T is the Tips and other bonuses for extra services (like luggage help, etc.)

Also, we have to plan testing strategy for this model.

Any feedback on above model will be highly appreciated.

What risk you see with this model ?

FieldValue
text Hi All I am working on a proof of concept to develop mathematical model for compensation of cab drivers. The main objective is that it should enhance customer experience. I have come up with basic model as below. C=B+R+P+S+T B is the Base rate: B=rate×distance or rate×hours R is the Rating bonus: R=base_bonus×(average_rating−threshold_rating) for ratings above a certain threshold P is the Peak time incentive: P=peak_rate×hours_worked_during_peak S is the Safety bonus: S=safety_bonus …
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-23
username_encoded Z0FBQUFBQm5Lak1lbHJIaTc0b3dKeEo0RC1sQ2wtNGM0TDhvc0lzbVNmWnFFaG8wT3hvUDFSbGZQUlRmdjl1WkdFQ1dydlFBa1FPZzRqUlFOS2RqMmEwNTBkUnR3T0x5N0VHOTBILTdIQU9aYTBDRUptTGVtUFk9
url_encoded Z0FBQUFBQm5Lak91aUpodmhGbk5SQ3N2RHBKS2ZDcVVSSlVLOFk2RWpxSHF0NXg0cERuZWdIbHpET0VoWEkxNDhxM1R0S3hXOV9xLXA3X2pqWjRNWnJlc0JFbDRnSGdpQkk3WmtXNlNXNGszSFZybTM0bkFvYUFFT2M0REhnT18waU04M3pKZ3VFMVQxVlF2WjM0cVR4c3Q4cnlKYm95N3ZWdHVlUjBBSldCaUNnYzFncTYzcENvVm83LXZMLUU4d01MV2Y5N0xIVC1kYXBpbUFlUWhwLWtva3BINnBZSDlDZz09

Raw Record

{
  "text": "\nHi All\n\nI am working on a proof of concept to develop mathematical model for compensation of cab drivers. The main objective is that it should enhance customer experience.\n\nI have come up with basic model as below. \n\nC=B+R+P+S+T\n\nB is the Base rate: \nB=rate×distance or rate×hours\n\nR is the Rating bonus: \nR=base_bonus×(average_rating−threshold_rating) for ratings above a certain threshold\n\nP is the Peak time incentive: \nP=peak_rate×hours_worked_during_peak\n\nS is the Safety bonus: \nS=safety_bonus if no accidents or tickets within a defined period\n\nT is the Tips and other bonuses for extra services (like luggage help, etc.)\n\n\nAlso, we have to plan testing strategy for this model.\n\nAny feedback on above model will be highly appreciated. \n\nWhat risk you see with this model ?\n\n",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1lbHJIaTc0b3dKeEo0RC1sQ2wtNGM0TDhvc0lzbVNmWnFFaG8wT3hvUDFSbGZQUlRmdjl1WkdFQ1dydlFBa1FPZzRqUlFOS2RqMmEwNTBkUnR3T0x5N0VHOTBILTdIQU9aYTBDRUptTGVtUFk9",
  "url_encoded": "Z0FBQUFBQm5Lak91aUpodmhGbk5SQ3N2RHBKS2ZDcVVSSlVLOFk2RWpxSHF0NXg0cERuZWdIbHpET0VoWEkxNDhxM1R0S3hXOV9xLXA3X2pqWjRNWnJlc0JFbDRnSGdpQkk3WmtXNlNXNGszSFZybTM0bkFvYUFFT2M0REhnT18waU04M3pKZ3VFMVQxVlF2WjM0cVR4c3Q4cnlKYm95N3ZWdHVlUjBBSldCaUNnYzFncTYzcENvVm83LXZMLUU4d01MV2Y5N0xIVC1kYXBpbUFlUWhwLWtva3BINnBZSDlDZz09"
}
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