title: How to find accuracy of ARIMA model?
body: <p><strong>Problem description</strong>: Prediction on CPU utilization.<br>
  Approach: Used time series algorithm.</p>
  
  <p><strong>Step 1</strong>: From Elasticsearch I collected 1000 observations and exported on Python.</p>
  
  <p><strong>Step 2</strong>: Plotted the data and checked whether data is stationary or not.</p>
  
  <p><strong>Step 3</strong>: Used log to convert the data into stationary form.</p>
  
  <p><strong>Step 4</strong>: Done DF test, ACF and PACF.</p>
  
  <p><strong>Step 5</strong>: Build <code>ARIMA(3,0,2)</code> model.</p>
  
  <p><strong>Step 6</strong>: Forecast.</p>
  
  <p>I built an <code>ARIMA (3,0,2)</code> time-series model but was unable to find the accuracy of model. Is there any command through which we can check the accuracy of model in Python?</p>
  
  <p>Could you please advice if my approach was correct or not and how to find accuracy of model in Python?</p>