What is RMSD & RMSE?

The root-mean-square deviation ( RMSD) or root-mean-square error ( RMSE) is either one of two closely related and frequently used measures of the differences between true or predicted values on the one hand and observed values or an estimator on the other.

What is the difference between RMSE and rmsle?

In the case of RMSE, the presence of outliers can explode the error term to a very high value. But, in the case of RMLSE the outliers are drastically scaled down therefore nullifying their effect. On calculating, their RMSE and RMSLE comes out to be: 4.242 and 0.6466 respectively

What is RMS value in physics?

The RMS value of a set of values (or a continuous-time waveform) is the square root of the arithmetic mean of the squares of the values, or the square of the function that defines the continuous waveform. In physics, the RMS current value can also be defined as the "value of the direct current that dissipates the same power in a resistor."

Why was rmsle introduced in data science competitions?

This is perhaps the most important factor why the RMSLE was introduced in the Data Science competitions. RMSLE incurs a larger penalty for the underestimation of the Actual variable than the Overestimation. In simple words, more penalty is incurred when the predicted Value is less than the Actual Value.