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Update README.md
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DebasmitaPal1206 authored Aug 16, 2022
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@@ -59,7 +59,7 @@ The following models predict gcc_90 of next 35 days. For gcc_sd, last years' gcc
* <b>PEG_FUSION_0 (Prediction based on last year gcc_90 values and current weather data using ensemble approach):</b>
- <b>Input:</b> gcc_90/rcc_90 data of 20 days from last year i.e., (t-10)th to (t+9)th day of last year and weather variables of tth day (Max. temp, Min. temp, Radiation, Precipitation). Weather data extracted from Daymet is used to train the model. To forecast gcc_90 for future days, NOAA forecasted weather parameters are being used.

- <b>Output:</b> gcc_90/rcc_90 of next 35 days
- <b>Output:</b> gcc_90/rcc_90 and gcc_sd/rcc_sd of next 35 days

- <b>Model Description:</b> Ensemble machine learning approach is taken to predict gcc90/rcc_90, as part of which four models (Random Forest Regressor (RFR), ElasticNet Regressor, Extreme Gradient Boosting (XgBoost), K-Nearest Neighbor Regressor (KNN)) are trained individually for each of the sites to predict rcc_90 and three models (Random Forest Regressor (RFR), ElasticNet Regressor, Extreme Gradient Boosting (XgBoost)) are trained individually for each of the sites to predict gcc_90. Finally, rcc_90 and rcc_sd is predicted by taking the average and standard deviation of the predicted outputs by the four models and gcc_90 and gcc_sd are predicted by taking the average and standard deviation of the predicted outputs by the three models.

@@ -98,4 +98,4 @@ Can log into server using `ssh -i [ssh key path] [username]@128.196.65.173`. It
00 22 * * * cd /home/kristinariemer/neon-datasets/models/RFR && bash forecast_gcc.sh && echo `date` >> /home/kristinariemer/cron.txt
```

Confirmation of submissions are in `cron.txt`.
Confirmation of submissions are in `cron.txt`.

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