intTypePromotion=3
Array
(
    [0] => Array
        (
            [banner_id] => 140
            [banner_name] => KM1 - nhân đôi thời gian
            [banner_picture] => 964_1568020473.jpg
            [banner_picture2] => 839_1568020473.jpg
            [banner_picture3] => 620_1568020473.jpg
            [banner_picture4] => 994_1568779877.jpg
            [banner_picture5] => 
            [banner_type] => 8
            [banner_link] => https://tailieu.vn/nang-cap-tai-khoan-vip.html
            [banner_status] => 1
            [banner_priority] => 0
            [banner_lastmodify] => 2019-09-18 11:11:47
            [banner_startdate] => 2019-09-11 00:00:00
            [banner_enddate] => 2019-09-11 23:59:59
            [banner_isauto_active] => 0
            [banner_timeautoactive] => 
            [user_username] => sonpham
        )

)

Predicting attendance at major league soccer matches: A comparison of four techniques

Chia sẻ: Tun Anh | Ngày: | Loại File: PDF | Số trang:8

0
12
lượt xem
0
download

Predicting attendance at major league soccer matches: A comparison of four techniques

Mô tả tài liệu
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

This paper discusses predicting attendance at Major League Soccer events using data from the 2014 and 2015 seasons. Panel data is obtained for each team, season, and weather category. A traditional least squared dummy variable linear regression technique is used along with three machine learning algorithms – random forest, M5 prime, and extreme gradient boosting. Extreme gradient boosting provides superior results with respect to out-of-sample root mean square error statistics. Well-founded technique for working with different methods is presented and the efficacy of contemporary algorithms is offered.

Chủ đề:
Lưu

Nội dung Text: Predicting attendance at major league soccer matches: A comparison of four techniques

CÓ THỂ BẠN MUỐN DOWNLOAD

AMBIENT
Đồng bộ tài khoản