Weather Forecasting in MATLAB for the WiDS Datathon 2023
source link: https://blogs.mathworks.com/student-lounge/2023/01/11/weather-forecasting-in-matlab-for-wids-datathon-2023/
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Introduction
Import Data
- Training data (train.xlsx)
- Testing data (test.xlsx)
___ ___ ___________ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________ ______ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________27 261 01-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 12.044 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183
27 261 02-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 12.631 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183
27 261 03-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.305 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183
27 261 04-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.396 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183
27 261 05-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.627 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183
27 261 06-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.999 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049
27 261 07-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 14.223 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049
27 261 08-Jan-2016 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 14.248 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049
___ ___ ___________ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________ ______ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________38 238 01-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 9.0021 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753
38 238 02-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 9.4104 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753
38 238 03-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 9.7816 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753
38 238 04-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 10.066 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753
38 238 05-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 10.35 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753
38 238 06-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 10.59 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413
38 238 07-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 10.674 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413
38 238 08-Jan-2016 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 10.995 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413
Preprocess Data
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Values:
Min 27
Median 42
Max 49
lon: 146034×1 double
Values:
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Median 252
Max 266
start_date: 146034×1 datetime
Values:
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Median 01-Jul-2016 12:00:00
Max 31-Dec-2016 00:00:00
cancm3_0_x: 146034×1 double
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Median 10.535
Max 36.077
cancm4_0_x: 146034×1 double
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Median 12.512
Max 35.795
ccsm3_0_x: 146034×1 double
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Median 10.477
Max 32.974
ccsm4_0_x: 146034×1 double
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Median 12.315
Max 34.311
cfsv2_0_x: 146034×1 double
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gfdl-flor-a_0_x: 146034×1 double
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gfdl-flor-b_0_x: 146034×1 double
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Median 11.837
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gfdl_0_x: 146034×1 double
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nasa_0_x: 146034×1 double
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nmme0_mean_x: 146034×1 double
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cancm3_x: 146034×1 double
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cancm4_x: 146034×1 double
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Max 38.378
ccsm3_x: 146034×1 double
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ccsm4_x: 146034×1 double
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cfsv2_x: 146034×1 double
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Max 35.795
gfdl_x: 146034×1 double
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Median 10.476
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gfdl-flor-a_x: 146034×1 double
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Median 11.15
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gfdl-flor-b_x: 146034×1 double
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Median 11.117
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nmme_mean_x: 146034×1 double
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cancm3_y: 146034×1 double
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Max 124.58
cancm4_y: 146034×1 double
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Median 16.296
Max 137.78
ccsm3_y: 146034×1 double
Values:
Min 4.5927e-05
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Max 126.36
ccsm4_y: 146034×1 double
Values:
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Median 24.455
Max 204.37
cfsv2_y: 146034×1 double
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Median 25.91
Max 156.7
gfdl_y: 146034×1 double
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Median 20.49
Max 133.88
gfdl-flor-a_y: 146034×1 double
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Median 20.438
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gfdl-flor-b_y: 146034×1 double
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Median 20.443
Max 187.15
nasa_y: 146034×1 double
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nmme_mean_y: 146034×1 double
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Median 21.494
Max 132
cancm3_0_y: 146034×1 double
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Median 19.365
Max 139.94
cancm4_0_y: 146034×1 double
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Median 17.354
Max 160.04
ccsm3_0_y: 146034×1 double
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Median 21.729
Max 144.19
ccsm4_0_y: 146034×1 double
Values:
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Median 23.642
Max 151.3
cfsv2_0_y: 146034×1 double
Values:
Min 0.01827
Median 25.095
Max 176.15
gfdl-flor-a_0_y: 146034×1 double
Values:
Min 0.0058198
Median 17.634
Max 184.7
gfdl-flor-b_0_y: 146034×1 double
Values:
Min 0.0045824
Median 16.937
Max 194.19
gfdl_0_y: 146034×1 double
Values:
Min 0.0030585
Median 19.379
Max 140.16
nasa_0_y: 146034×1 double
Values:
Min 0.00051379
Median 17.81
Max 167.31
nmme0_mean_y: 146034×1 double
Values:
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Median 20.697
Max 140.1
cancm3_0_x_1: 146034×1 double
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Min 0.016023
Median 19.436
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cancm4_0_x_1: 146034×1 double
Values:
Min 0.016112
Median 17.261
Max 160.04
ccsm3_0_x_1: 146034×1 double
Values:
Min 0.00043188
Median 21.75
Max 144.19
ccsm4_0_x_1: 146034×1 double
Values:
Min 0.02979
Median 23.45
Max 231.72
cfsv2_0_x_1: 146034×1 double
Values:
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Median 25.096
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gfdl-flor-a_0_x_1: 146034×1 double
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Max 217.6
gfdl-flor-b_0_x_1: 146034×1 double
Values:
Min 0.0045824
Median 16.915
Max 195.06
gfdl_0_x_1: 146034×1 double
Values:
Min 0.0030585
Median 19.411
Max 140.16
nasa_0_x_1: 146034×1 double
Values:
Min 0.00051379
Median 17.733
Max 180.77
nmme0_mean_x_1: 146034×1 double
Values:
Min 0.061258
Median 20.67
Max 140.1
tmp2m: 146034×1 double
Values:
Min -21.031
Median 12.742
Max 37.239
cancm3_x_1: 146034×1 double
Values:
Min 0.075757
Median 18.649
Max 124.58
cancm4_x_1: 146034×1 double
Values:
Min 0.02538
Median 16.588
Max 116.86
ccsm3_x_1: 146034×1 double
Values:
Min 4.5927e-05
Median 25.242
Max 134.15
ccsm4_x_1: 146034×1 double
Values:
Min 0.21704
Median 24.674
Max 204.37
cfsv2_x_1: 146034×1 double
Values:
Min 0.028539
Median 26.282
Max 154.39
gfdl_x_1: 146034×1 double
Values:
Min 0.0046441
Median 21.028
Max 142.5
gfdl-flor-a_x_1: 146034×1 double
Values:
Min 0.0044707
Median 21.322
Max 187.57
gfdl-flor-b_x_1: 146034×1 double
Values:
Min 0.0095625
Median 21.444
Max 193.19
nasa_x_1: 146034×1 double
Values:
Min 1.9478e-05
Median 17.963
Max 183.71
nmme_mean_x_1: 146034×1 double
Values:
Min 0.24096
Median 21.881
Max 124.19
cancm3_y_1: 146034×1 double
Values:
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Median 10.067
Max 36.235
cancm4_y_1: 146034×1 double
Values:
Min -11.809
Median 12.179
Max 38.378
ccsm3_y_1: 146034×1 double
Values:
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Median 10.552
Max 33.171
ccsm4_y_1: 146034×1 double
Values:
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Median 12.254
Max 34.891
cfsv2_y_1: 146034×1 double
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Median 10.99
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gfdl_y_1: 146034×1 double
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gfdl-flor-a_y_1: 146034×1 double
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gfdl-flor-b_y_1: 146034×1 double
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Median 11.255
Max 37.192
nasa_y_1: 146034×1 double
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nmme_mean_y_1: 146034×1 double
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Median 11.462
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cancm3_0_y_1: 146034×1 double
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Median 10.475
Max 36.077
cancm4_0_y_1: 146034×1 double
Values:
Min -13.276
Median 12.385
Max 35.795
ccsm3_0_y_1: 146034×1 double
Values:
Min -9.4298
Median 10.452
Max 32.974
ccsm4_0_y_1: 146034×1 double
Values:
Min -12.54
Median 12.237
Max 34.311
cfsv2_0_y_1: 146034×1 double
Values:
Min -10.862
Median 11.315
Max 35.749
gfdl-flor-a_0_y_1: 146034×1 double
Values:
Min -12.85
Median 11.831
Max 37.416
gfdl-flor-b_0_y_1: 146034×1 double
Values:
Min -13.52
Median 11.842
Max 37.34
gfdl_0_y_1: 146034×1 double
Values:
Min -9.2018
Median 10.658
Max 36.117
nasa_0_y_1: 146034×1 double
Values:
Min -19.526
Median 14.002
Max 38.22
nmme0_mean_y_1: 146034×1 double
Values:
Min -12.194
Median 11.861
Max 34.879
___ ___ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________ ___ _____ ____ ______27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183 1 1 2016 12.044
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183 2 1 2016 12.631
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183 3 1 2016 13.305
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183 4 1 2016 13.396
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.8245 11.061 10.498 10.408 11.857 8.3761 11.315 11.775 12.281 10.822 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 35.156 28.155 30.717 34.552 28.183 28.298 28.652 34.429 37.595 31.748 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 29.098 21.265 42.821 28.231 40.159 62.355 24.896 24.933 22.981 32.971 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 16.57 18.283 15.485 18.897 17.87 16.714 17.432 13.391 20.003 17.183 5 1 2016 13.627
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 6 1 2016 13.999
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 7 1 2016 14.223
27 261 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 25.938 16.519 23.387 21.876 39.836 21.261 14.133 36.942 29.398 25.477 13.191 16.105 30.301 26.116 43.048 40.007 26.308 24.571 26.924 27.397 9.2216 12.444 10.616 10.461 11.401 7.7597 12.194 11.664 12.213 10.886 10.801 12.686 11.962 13.5 13.012 11.99 12.29 8.5611 13.64 12.049 8 1 2016 14.248
___ ___ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ ________ ________ _______ _______ _______ ______ _____________ _____________ ______ ___________ __________ __________ _________ _________ _________ _______________ _______________ ________ ________ ____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ __________ __________ _________ _________ _________ ________ _______________ _______________ ________ _____________ ____________ ____________ ___________ ___________ ___________ _________________ _________________ __________ __________ ______________ ___ _____ ____ ______38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753 1 1 2016 9.0021
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753 2 1 2016 9.4104
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753 3 1 2016 9.7816
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753 4 1 2016 10.066
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6.4785 7.2476 8.747 10.039 9.444 7.7948 10.142 10.421 8.4113 8.7472 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 23.973 23.875 26.89 14.057 36.966 34.703 30.382 35.169 31.349 28.596 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 71.945 84.607 56.394 80.506 123.53 57.872 92.886 107.55 69.046 82.703 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 8.9173 9.2217 10.978 12.627 11.894 13.353 12.966 12.68 13.138 11.753 5 1 2016 10.35
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 6 1 2016 10.59
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7 1 2016 10.674
38 238 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 60.347 30.144 66.325 43.001 79.737 48.759 57.888 69.24 45.733 55.686 67.619 63.328 78.491 71.75 98.552 61.833 71.848 66.141 54.315 70.431 7.0177 8.0908 8.0417 9.4876 8.3799 8.738 10.34 10.312 8.6557 8.7848 7.3796 8.3793 8.5218 9.3342 9.508 10.423 10.946 9.3034 9.376 9.2413 8 1 2016 10.995
Train & Evaluate a Model
Save and Export Predictions
_____ ______1 11.037
2 11.041
3 11.046
4 11.05
5 11.054
6 13.632
7 13.636
8 13.641
Experiment!
- Try other preprocessing techniques, such as normalizing the data or creating new variables
- Play around with the training options available in the app
- Change the variables that you use to train the model
- Try machine and deep learning workflows
- Change the breakdown of training, testing, and validaton data
Done!
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