ML Forecasting
Predictive analytics for business planning
Current Revenue
$3,490
Last recorded value
Forecasted Revenue
$5,500
57.6% from current
Confidence Interval
90%
Forecast Range
$4,800 - $6,200
Based on 90% confidence interval
Revenue Forecast
ML-powered forecast with 90% confidence interval
Historical
Forecast
Confidence Interval
Model Performance
Accuracy metrics for the ML forecast model
Mean Absolute Error (MAE)
Average absolute difference between predictions and actual values
$245
Mean Absolute Percentage Error (MAPE)
Average percentage error
5.8%
R² Score
Coefficient of determination
0.92
Training Data Points
Number of historical data points used
730
Forecast Factors
Key variables influencing the forecast
Seasonality
Cyclical patterns in the data
High Impact
Market Trends
Overall industry direction
Medium Impact
Marketing Spend
Advertising and promotion budget
High Impact
Economic Indicators
GDP, inflation, unemployment
Low Impact