Results of algorithms

The results of the “AI algorithms” are saved to the index „intelligence” specially created for this purpose. The index with the prediction result. These following fields are available in the index (where xxx is the name of the attribute being analyzed):

• xxx_pre - estimate value
• xxx_cur - current value at the moment of estimation
• method_name - name of the algorithm used
• rmse - avarage square error for the analysis in which _cur values were available. The smaller the value, the better.
• rmse_normalized - mean square error for the analysis in which _cur values were available, normalized with _pre values. The smaller the value, the better.
• overall_efficiency - efficiency of the model. The greater the value, the better. A value less than 0 may indicate too little data to correctly calculate the indicator
• linear_function_a - directional coefficient of the linear function y = ax + b. Only for the Trend and Linear Regression Trend algorithm
• linear_function_b - the intersection of the line with the Y axis for the linear function y = ax + b. Only for the Trend and Linear Regression Trend algorithm.

Visualization and signals related to the results of data analysis should be created from this index. The index should be available to users of the Intelligence module.