About 50-50 chance of the prediction to be reliable.
No.
The results are more reliable for interpolation .
Before making a prediction, it is important to gather and analyze relevant data, consider potential variables and biases that may impact the prediction, and clearly define the objective and assumptions underlying the prediction. Additionally, ensuring that the prediction is based on a reliable and valid model or methodology can help improve the accuracy of the prediction.
I would say BotPrediction.com (BotPrediction Software) because they seem to be the only math-backed and reliable service. Winrate around 70%, odds 1.7-2.2 etc. here is the another i have found is bdindo.com you can see the prediction and lot more prediction were true.
Maya Murbada is not a reliable tarot card user, her predictions are not to be taken as possible, even to Americans.
I don't have the ability to make weather predictions as I rely on pre-existing data. I suggest checking a reliable weather forecasting service for up-to-date and accurate information.
Very good for 24 hours, fair for 3 days, so-so for 5, and useless beyond a week.
The accuracy of the Chinese childbirth prediction chart in determining the gender of a baby before birth is not scientifically proven and is considered to be based on superstition rather than reliable data.
The accuracy of the Intelligender gender prediction test in determining the gender of a baby is not scientifically proven. It is considered more of a fun and entertaining tool rather than a reliable method for determining the baby's gender.
prediction. :)
There is no specific good number since the reliability of a prediction depends on the spread of the scatter plot. If the plot is tightly packed along some line (straight or curved) then a small number of observations will suffice. If, on the other hand, the plot consists of points all over the place then even 100 points is not sufficient for making reliable predictions.
When using a rate to make a prediction, you must assume that the conditions affecting that rate remain constant over the period of prediction. Additionally, it's important to assume that the underlying data is representative and reliable, and that any external factors influencing the rate will not significantly change. Lastly, you should consider that the relationship between the variables involved will continue to hold true in the future.