Mobile Money and Financial Inclusion in Tanzania Challenge
Cash and prizes worth $2,250 USD
Who is most likely to use mobile money? And who is most likely to use other financial services?
26 March–30 June 2019 23:59
447 data scientists enrolled, 163 on the leaderboard
Feature selection
published 27 Jun 2019, 09:06

This is an exemple feature selection. so without enrich your data set it very dificult to improve our score. Because all variable are very small contribution.

('Q1', 0.061429050143116733)
('Q2', 0.011806785042619903)
('Q3', 0.022095198979739418)
('Q4', 0.031424206677461951)
('Q5', 0.022997306223697462)
('Q6', 0.0075367235122939993)
('Q7', 0.063292254455874275)
('Q8_1', 0.0037811016699987399)
('Q8_2', 0.012228517973679081)
('Q8_3', 0.0019458127824748478)
('Q8_4', 0.012176487844446207)
('Q8_5', 0.00012773417517041364)
('Q8_6', 6.1050951915491139e-06)
('Q8_7', 3.0306989764214775e-05)
('Q8_8', 0.00074663998878069459)
('Q8_9', 0.0069981937618360975)
('Q8_10', 0.0080571753176474897)
('Q8_11', 3.1520189421350721e-06)
('Q9', 0.0035147251238743398)
('Q10', 0.020690137802578938)
('Q11', 0.0027867219352076316)
('Q12', 0.08675660716409786)
('Q13', 0.093381784338594009)
('Q14', 0.1089953085120534)
('Q15', 0.12481162722766649)
('Q16', 0.094188541036927476)
('Q17', 0.017972099566778598)
('Q18', 0.024868603998472433)
('Q19', 0.019999319770607104)
('Latitude', 0.06599559403683862)
('Longitude', 0.069356176833567679)

what methods are preferable for feature selection