Data Science Stack Exchange
Data Science Stack Exchange

Questions tagged [rmse]

29 questions
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votes
2 answers

RMSE is higher for bigger values of target variable - how to decrease

I am solving a problem with machine learning and I have some data with two integer type independent variables and a continuous dependent variable. I am optimising to RMSE. I had fairly large RMSE value on my validation data. I learned that my model…
Naveen Reddy Marthala
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1 answer

Confusion about the MSE ERROR

I created a Random Forest regressor model and calculated my own error. I also want to calculate MAE, MSE and RMSE to compare my results to similar use cases. I am confused by the results as the values are far lesser. The random forest regressor…
ml_learner
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2 answers

Reason for generally using RMSE instead of MSE in Linear Regression

In linear regression, why we generally use RMSE instead of MSE? The rationale I know is that it's easy to minimize the error in RMSE instead of MSE by Gradient Descent, but I need to know the exact reason.
SKB
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What is bad, good and excellent metric score for time series model?

I have created a couple of models for my master project and I used several metrics for evaluation. I used MSE, MAE, MAPE, RMSE not because I really learned about them a lot, because I saw in many other projects these metrics being used. Now I have a…
Vasilii Naumushkin
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0 answers

How to add RMSE value on a plot with ggplot

I added r2 value and the formula of the regression function but I also want RMSE value on my plot, maybe I need to add something but I could not see a proper answer to this question neither here nor google... ggplot(data = AGB.rf$pred) + …
RS_girl
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What is the difference between an RMSE and RMSLE (logarithmic error)?

RMSE vs RMSLE Root Mean Squared Error (RMSE) and Root Mean Squared Logarithmic Error (RMSLE) both are the techniques to find out the difference between the values predicted by the machine learning model and the actual values. But, what is the…
Pluviophile
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Measuring performance of customer purchase predictions

My goal is to develop a model that predicts next customer purchases in USD (Update: During the time period of the dataset, if no purchase was made by the customer, the next purchase label is set to zero). I am trying to determine what would be the…
Shlomi Schwartz
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1 answer

How to interpret the Mean squared error value in a regression model?

I'm working on a simple linear regression model to predict 'Label' based on 'feature'. The two variables seems to be highly correlate corr=0.99. After splitting the data sample for to training and testing sets. I make predictions and evaluate the…
the phoenix
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How do you identify whether your RMSE score is good or not?

Im building a XGBoost regression model to predict the values in the range of -3 to 3. Im using Root Mean Squared Error to evaluate the model. With hyper-parameter tuning and everything the best scores I could get was this: training -…
emily
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SVR - RMSE is much worse after normalizing the data

I'm building a model using a custom kernel SVR that looks into a few of my dataframe's features and checks the proximity/distance between each pair of datapoints. The features are weigthed and the weights were calculated using cross…
MyName
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Which error metric is good for measuring accuracy

I am estimating water depth with satellite data (predicted value) and would like to validate my result using bathymetry lidar data collected on the field and believed to be more accurate (observed value). I have different observations at each water…
Chris
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TensorFlow 2: Find MAE, RMSE for validation dataset in time-series LSTM

TensorFlow 2 "Time series forecasting tutorial" (https://www.tensorflow.org/tutorials/structured_data/time_series#recurrent_neural_network) gives an example of a LSTM multi-step prediction model that given a past history predicts a range of future…
dokondr
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Calculate RMSE based on R squared and vice versa

If for example I have the value of RMSE can I calculate the $R^2$? And vice versa if I have the value of $R^2$ can I calculate the value of RMSE? I have all predictions, dataset, training set, and test set.
Djakarta_zero
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Linear regression returning negative values for house price prediction

I am trying to do a prediction of real estate (prices are in millions). The mean price for the dataset is 4 million. I do not have any negative values in my dataset, but there are predicted values which are negative like -10 million. Xgboost is also…
Djakarta_zero
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My Linear Regression Model Mean Absolute Error(MAE) is 0.29 and R2 0.20 , Is this a acceptable Model?

My Linear Regression Model Mean Absolute Error(MAE) is 0.29 and R2 0.20 , Is this a acceptable Model ? How can increase the r2 score ?
Aadhil Imam
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