How to calculate predictive weights?
Hello!
I am using multiple variables (rainfall, temperature, wind speed, slope, distance to settlements, etc) for predicting fire events using different machine-learning algorithms. In the below-given example, I have used Random Forest to do so. Using 'Explain Predictions" this result was generated. In Support Prediction, we have Slope = 6.054 (0.378); Agriculture = 0 (0.074) where 6.054 and 0 are respective values and 0.378 & 0.074 are predictive weights.
Is there any method by which we can calculate the cumulative values of these predictive weights that can be converted to an equation?
I have to input these weights into another software (ArcGIS) to analyze raster data. Is there any other way to use this model on raster images?
I am using multiple variables (rainfall, temperature, wind speed, slope, distance to settlements, etc) for predicting fire events using different machine-learning algorithms. In the below-given example, I have used Random Forest to do so. Using 'Explain Predictions" this result was generated. In Support Prediction, we have Slope = 6.054 (0.378); Agriculture = 0 (0.074) where 6.054 and 0 are respective values and 0.378 & 0.074 are predictive weights.
Is there any method by which we can calculate the cumulative values of these predictive weights that can be converted to an equation?
I have to input these weights into another software (ArcGIS) to analyze raster data. Is there any other way to use this model on raster images?