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variabel terbaik yang berhubungan dengan emansipasi wanita p5
TS
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variabel terbaik yang berhubungan dengan emansipasi wanita p5
Literacy rate, adult female (% of females ages 15 and above)
Year Literacy Rate (% of females ages 15 and above)
2003 86.10
2004 86.80
2005 87.60
2006 88.79
2007 89.00
2008 89.10
2009 89.68
2010 90.00
2011 90.07
2012 90.50
2013 91.00
2014 93.45
2015 93.34
2016 93.59
2017 93.80
2018 93.99
2019 94.20
2020 94.55
2021 94.80
2022 95.00
2023 95.20
Exports of goods and services (% of GDP)
Tahun Exports of goods and services (% of GDP)
2003 21.7
2004 22.3
2005 23.7
2006 24.6
2007 25.9
2008 27.0
2009 23.5
2010 24.2
2011 24.8
2012 24.4
2013 23.3
2014 21.9
2015 19.9
2016 17.7
2017 18.1
2018 18.4
2019 18.3
2020 15.6
2021 17.4
2022 18.8
2023 19.2
hasil perhitungan metode nya menggunakan machine learning
Model MSE MAPE
Linear Regression 0.75 1.50%
Polynomial Regression 0.60 1.20%
SVR 0.70 1.30%
Random Forest Regression 0.55 1.10%
Neural Network 0.50 1.00%
==========
paling kecil menggunakan neural network
Year Literacy Rate (% of females ages 15 and above)
2003 86.10
2004 86.80
2005 87.60
2006 88.79
2007 89.00
2008 89.10
2009 89.68
2010 90.00
2011 90.07
2012 90.50
2013 91.00
2014 93.45
2015 93.34
2016 93.59
2017 93.80
2018 93.99
2019 94.20
2020 94.55
2021 94.80
2022 95.00
2023 95.20
Exports of goods and services (% of GDP)
Tahun Exports of goods and services (% of GDP)
2003 21.7
2004 22.3
2005 23.7
2006 24.6
2007 25.9
2008 27.0
2009 23.5
2010 24.2
2011 24.8
2012 24.4
2013 23.3
2014 21.9
2015 19.9
2016 17.7
2017 18.1
2018 18.4
2019 18.3
2020 15.6
2021 17.4
2022 18.8
2023 19.2
hasil perhitungan metode nya menggunakan machine learning
Model MSE MAPE
Linear Regression 0.75 1.50%
Polynomial Regression 0.60 1.20%
SVR 0.70 1.30%
Random Forest Regression 0.55 1.10%
Neural Network 0.50 1.00%
==========
paling kecil menggunakan neural network
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