Update README.md

README.md

@@ -16,9 +16,20 @@ This project involves tracking extreme and prolonged warming events in sea surfa
 ![Location of Initial time series](https://github.com/hscannell/MHWpredict/blob/master/data/datamap.png)
 
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-| Leader Board |                     |
-| Model        | Description | Score |
-|--------------|-------------|-------|
+### Leader Board 
+Average score across all four time series (30n120w, 30n140w, 40n160w, & 50n140w)
+
+| Model | Description | Error |
+|---|---|---|
+| TBATS | Exponential smothing state space model with Box-Cox Transformation |  ? |
+| AR(6) | AutoRegressive order 6 models |  MSE = 0.10 |
+| ARMA | AutoRegressive Moving Average, order(6,2) | MSE = 0.13 |
+| SARIMAX | Seasonal AutoRegressive Integrated Moving Average with eXogenous regressors, order(6,2,1)(6,2,1,4) | MSE = 0.13 | 
+| Persistence | "walk-forward" validation | MSE = 0.28 (1-day), 0.29 (3-day), 0.65 (9-day) |
+
+| Long Short-Term Memory (LSTM) | Architecture | Error |
+|---|---|---|
+|LSTM_1var | Sequential 5 neuron LSTM, 1 neuron Dense output layer, tanh activation, SGD optimizer, fit with 20 epochs, 520 batch size, forecasting 5-day sequence based on the previous 20 days, features are only SST | |