Update autoarima_multi_round.ipynb (#226)
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The resulting MAPE value is relatively high. As `auto_arima` searches a restricted space of the models, defined by the range of `p` and `q` parameters, we often might not find an optimal model for each time series. In addition, when building a model for a large number of time series, it is often difficult to examine each model individually, which would usually help us improve an ARIMA model. Please refer to the [quick start ARIMA notebook](../00_quick_start/auto_arima_forecasting.ipynb) for a more comprehensive evaluation of a single ARIMA model.\n",
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"The resulting MAPE value is relatively high. As `auto_arima` searches a restricted space of the models, defined by the range of `p` and `q` parameters, we often might not find an optimal model for each time series. In addition, when building a model for a large number of time series, it is often difficult to examine each model individually, which would usually help us improve an ARIMA model. Please refer to the [quick start ARIMA notebook](https://github.com/microsoft/forecasting/blob/master/examples/grocery_sales/python/00_quick_start/autoarima_single_round.ipynb) for a more comprehensive evaluation of a single ARIMA model.\n",
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"\n",
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"Now let's plot a few examples of forecasted results.\n"
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]
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