Time Series Analysis Results

Summary Statistics

{% for key, value in summary.items() %} {% endfor %}

{{ key }}

{{ value|round(2) }}

Time Series Decomposition

{{ plot_html | safe }}

Forecast (ARIMA{{ arima_params }}, Seasonal{{ seasonal_params }})

Training Data Percentage (50-95%):

Test Data Percentage (5-50%):

Number of Periods to Forecast (1-24):

Add to Existing Plots

Re-run Forecast

---

Training Data: {{ train_percent }}% ({{ train_size }} observations)

Test Data: {{ test_percent }}% ({{ test_size }} observations)

Forecast Periods: {{ forecast_periods }}

{% if metrics %}

Mean Absolute Error (MAE): {{ metrics.MAE|round(4) }}

Mean Squared Error (MSE): {{ metrics.MSE|round(4) }}

Root Mean Squared Error (RMSE): {{ metrics.RMSE|round(4) }}

{% endif %} {{ forecast_html | safe }}

---

Forecast History

{% for entry in forecast_history %} {% endfor %}

Run	Select	Train Percent (%)	Test Percent (%)	Forecast Periods	MAE	MSE	RMSE
{{ loop.index }}		{{ entry.train_percent|round(2) }}	{{ entry.test_percent|round(2) }}	{{ entry.forecast_periods }}	{{ entry.mae|round(4) if entry.mae else 'N/A' }}	{{ entry.mse|round(4) if entry.mse else 'N/A' }}	{{ entry.rmse|round(4) if entry.rmse else 'N/A' }}

Compare Selected Forecasts

Download Forecast History (Excel)

ACF and PACF Plots

{{ acf_pacf_html | safe }}