# Questions tagged [mape]

The Mean Absolute Percentage Error (MAPE) is a point forecast accuracy measure. As a percentage, it can be compared between forecasts for time series on different scales, and it is easily interpreted. However, it is asymmetric (underforecasts' MAPEs are bounded at 100%, while overforecasts' are unbounded), potentially leading to biased forecasts. The MAPE is undefined if any actual is zero.

101 questions
Filter by
Sorted by
Tagged with
14 views

### Steps for Forecasting with known copula's parameters

I want to calculate the Mean absolute percentage error (MAPE) for my copula model. I am stuck at the forecasting step. I am not specifying the copula here for different data pairs. I have two time ...
1 vote
163 views

### Symmetric AND Weight MAPE Calculation

I'm responsible to forecast a portfolio of consumer products on a monthly basis, and in calculating forecast accuracy, I'm lead to the MAPE (Mean Average Percent Error), which is useful, but has, ...
• 11
254 views

### Is there multi-variate generalized MAPE(Mean Absolute Percentage Error)

The MAPE could be employed in the context of regression problem and is defined by $$MAPE := \frac{1}{n} \sum_{t=1}^{n} \left| \frac{y_{t} - \hat{y}_{t}}{y_{t}} \right|$$ where $y_{t}$ is target ...
213 views

### Does the absolute value of MAPE or sMAPE have meanings?

Let say I have a forecasting system compared with a naive forecast that just use the today's value as forecast. If the naive forecast have a MAPE of 200%, and my system have a MPAE of 100%, could I ...
• 151
1 vote
20 views

### Interpret Mean vs. SMAPE results [duplicate]

I have following dataframe: ...
111 views

### Shift target values by a big value to improve the Mean Absolute Percentage error (MAPE)

I'm working on a Machine Learning regression task, where I have to predict a continuous value, and I have to minimize the Mean Absolute Percentage error, the problem that the target values ranges from ...
145 views

### Is it ok to select models using MASE and present the metric to client area as MAPE?

My question follow this one. Metrics such as MASE and MSE have better properties than MAPE. ...
519 views

### How to use MAPE with auto.arima model?

The code below gets a: error in mean(abs((y_true - y_pred)/y_true)) : argument "y_true" is missing, with no default I've seen MAPE used on forecasts. Can one use this and similar methods on ...
• 151
266 views

### regression question: backtransforming MAPE for log(y)

I'm fitting a linear regression between two variables and to reduce the problem of heteroskedasticity I have log-transformed the outcome variable y. However, this makes it difficult for me, a non ...
1 vote
141 views

### Why RMSE and MAPE changes with the change of axis?

I need your help regarding the information inside the picture. As you know all the information will change with the change of NDVI axis from y-axis to X-axis, except R2 and p-value remain the same? ...
4k views

### Is Median Absolute Percentage Error useless?

I'm working on a project focused on pricing houses. Looking online I see a lot of works and companies providing the performances of their model using the median instead of the mean (see for example ...
• 327
1 vote
1k views

### Does weighted MAPE (wMAPE) provide an accurate estimate of error?

I'm trying to use wMAPE to calculate demand standard deviation for future forecasts, however, the wMAPE that we are using is derived from 13 buckets of actuals over a period of 52 buckets of time. If ...
• 11
1 vote
37 views

1k views

### What is "symmetry" in evaluation metrics

I'm seeing Mean absolute percentage error (MAPE) is not symmetric. Tried to understand what is symmetry here but didn't find a good answer online. Can I ask: What is symmetry in evaluation metrics? ...
• 331
1k views

### Is this the right way to evaluate MSE, RMSE, MAE, MAPE after creating a model on data passed through a standard scaler?

Create the Scaler object scaler = preprocessing.StandardScaler() Fit your training data on the scaler object ...
113 views

### Low value on MAPE when using log CPI

I'm trying to evalute my Holt-Winter model using MAPE (mean absolut percent error) and I'm getting a low value at 0.2% which seems a bit too low. I'm using data on CPI from Belgium (per month) where I ...
• 113
1 vote
253 views

### Where is appropriate to use sMAPE performance measure?

I have a code which predicts values using three different models: lm, auto.arima and ...
• 55
33 views

### What is the difference between correlation and mean absolute percentage error? [duplicate]

So here is my question, I have to columns of data. One of them is a black box model's output, and the other one is my actual numbers. The correlation between these two columns is 99%, but the MAPE is ...
• 51
1 vote
5k views

### MAPE is better but MAE is worse in regression models

I am working on a regression problem to predict price of the vehicle based on its features. I have been experimenting with several trials but in one of them, MAPE (Mean Absolute Percentage Error) is ...
• 113
1k views

### Finding a confidence interval of a MAPE

First time posting. I have two columns of data, one for the model output and one for the actual data that has come in. I calculated the MAPE and got a percentage. I performed the following analysis, ...
• 51
38 views

### Own model accuracy measure for regression analysis

Is it possible to produce an own model accuracy measure that takes 100% - MAPE? If MAPE is 5 % for example, the model accuracy would be 95%? Or is that statistically incorrect?
1 vote
11k views

### Mean Absolute percentage error getting infinity?

i have written a function for calculating mape using python here i am mentioning the function : ...
1 vote
3k views

### Is there any standard / criteria of good forecast measured by SMAPE and MASE?

I have built a forecasting model for a company. Since it is dedicated to practical usage, I prefer to use the relative error parameter (like MAPE, SMAPE, & MASE) as a measurement for my model ...
6k views

### Is this the correct place to use MAPE as a loss function?

I've made a neural network designed to do regression. However, my dataset is unbalanced, and the data in the smaller section of the dataset have very different target values than the target values in ...
• 176
27k views

### How do I interpret mean absolute error (MAE) or mean absolute percentage error (MAPE) in layman words?

For example, I am predicting a score that can have value from 0 to 100. Lets assume MAPE = 10...
• 1,089
1 vote
811 views

### Over-fitting SARIMA model

I am currently running an iterative process(for loop) to determine best ARIMA model for monthly sales data according to smallest AIC and MAPE. Box-Jenkins methodology clearly states to choose the ...
7k views

### Mean absolute percentage error returning NAN in PyTorch [closed]

I'm using mean absolute percentage error (MAPE) as a loss function for an RNN, however during training I start getting NaN values. I first used MAPE to calculate error between sequences of 3D ...
• 151
527 views

### Acceptable Standard for MAPE

What is the general acceptable value of MAPE in industry ?. I am getting MAPE of around 24% on live data that has 48 data points in which 42 as train data and 6 as test data. I am trying to do ARIMA ...
2k views

### MAPE and SMAPE shift invariance (bias)

MAPE (Mean Absolute Percentage Error) and SMAPE (Symmetric Mean Absolute Percentage Error) both are sensitive when the TRUE ...
• 765
3k views

### WMAPE / WAPE for the evaluation of time series with positive and negative values

I have a time series y that has both positive and negative that I want to predict. For the prediction I normalize the values to a range between 0 and 1. If I give ...
• 133