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Peter Newell
2018-05-22 20:22:25 +08:00
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@@ -31,12 +31,11 @@ Linear regression models are natural candidates for time series analysis. Using
*Ridge* *Ridge*
![Ridge png](/graphs/Ridge 0.80991178871757.png) ![Ridge png](/graphs/Ridge 0.8099881178871757.png)
*LinearRegression* *LinearRegression*
![LinearRegression png](/graphs/LinearRegression 0.8099495670315746.png) ![LinearRegression png](/graphs/LinearRegression 0.8099495670315746.png)
The Autoregressive Integrated Moving Average (ARIMA) is not exactly a machine learning algorithm, but a linear model used in econometric analysis that can be applied to financial markets to make predictions. A quick build of this model can also produce 78% accurate predictions on the test data. The Autoregressive Integrated Moving Average (ARIMA) is not exactly a machine learning algorithm, but a linear model used in econometric analysis that can be applied to financial markets to make predictions. A quick build of this model can also produce 78% accurate predictions on the test data.
*ARIMA* *ARIMA*