3

I was wondering if I could express the **efficiency** of prognostic models according to their accuracy(error, e.g. MAPE or MSE) over time [sec]. So let's imagine I have the following results for different predictive models:

```
models MSE MAE MAPE predicting Time[sec]
LSTM 0.12 0.13 15.67% 456789
GRU 0.06 0.05 5.89% 688741
RNN 0.45 0.51 25.33% 55555
```

What is the best way to illustrate the efficiency of predictive models over predicting time? Is the following equation right? how about its **unit** when we use MSE or MAE instead of MAPE which is expressed by `%`

?

\begin{equation} \text{Efficiency} = \frac{Accuracy}{predictingtime }= \frac{error (e.g.MAPE)}{predictingtime }= \frac{percentage}{sec} \end{equation} which graph demosntraete efficiency scientifically for prognestic models?

I read this article and the introduce following criteria under name of **prediction efficiency PE**. is it possible to use such that?