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  • November 23, 2020Miscellaneous

    Is multiple linear regression a machine learning algorithm?

    Is multiple linear regression a machine learning algorithm? Multiple regression is a machine learning algorithm to predict a dependent variable with two or more predictors.…

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  • November 23, 2020Blog

    Why are confidence intervals large?

    Why are confidence intervals large? A 95% confidence interval is often interpreted as indicating a range within which we can be 95% certain that the…

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  • November 23, 2020Helpful tips

    What does a reported confidence interval CI of 95% indicate?

    What does a reported confidence interval CI of 95% indicate? The 95% confidence interval is a range of values that you can be 95% confident…

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  • November 23, 2020Popular

    What is multivariate Cox analysis?

    What is multivariate Cox analysis? The Cox (proportional hazards or PH) model (Cox, 1972) is the most commonly used multivariate approach for analysing survival time…

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  • November 23, 2020Popular

    Which term describes the difference between the actual and predicted values of a dependent variable?

    Which term describes the difference between the actual and predicted values of a dependent variable? The residual is the difference between the actual value of…

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  • November 23, 2020Guidelines

    What is linear random variable?

    What is linear random variable? A linear rescaling of a random variable does not change the basic shape of its distribution, just the range of…

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  • November 23, 2020Blog

    What does an appropriate residual plot look like?

    What does an appropriate residual plot look like? You can think of the lines as averages; a few data points will fit the line and…

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  • November 23, 2020Contributing

    How do I optimize my Rmsle?

    How do I optimize my Rmsle? Trick for optimizing RMSLE trough RMSE Do your EDA and feature engineering like usual. Transform the target variable into…

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  • November 23, 2020Popular

    What would it mean if you get a negative F statistic?

    What would it mean if you get a negative F statistic? Negative FIS values indicate heterozygote excess (outbreeding) and positive values indicate heterozygote deficiency (inbreeding)…

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  • November 23, 2020Helpful tips

    How to deal with the proportional odds assumption in ordinal logistic regression?

    How to deal with the proportional odds assumption in ordinal logistic regression? One way around the issue of non-proportional odds is to just fit the…

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