Mobile Money and Financial Inclusion in Tanzania Challenge
Cash and prizes worth $2,250 USD
Predict who is more likely to use mobile money or other financial services
529 data scientists enrolled, 163 on the leaderboard
Financial ServicesPredictionStructured
Tanzania
26 March 2019—1 July 2019
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