Tag: Statistical Significance (4)

• Null Hypothesis Significance Testing is Still Useful - Jan 25, 2021.
  
  Even in the aftermath of the replication crisis, statistical significance lingers as an important concept for Data Scientists to understand.

  Tags: Hypothesis Testing, P-value, Statistical Significance, Statistics

• Demystifying Statistical Significance - Jul 17, 2020.
  
  With more professionals from a wide range of less technical fields diving into statistical analysis and data modeling, these experimental techniques can seem daunting. To help with these hurdles, this article clarifies some misconceptions around p-values, hypothesis testing, and statistical significance.

  Tags: P-value, Statistical Significance, Statistics

• Comparing Machine Learning Models: Statistical vs. Practical Significance - Jan 18, 2019.
  
  Is model A or B more accurate? Hmm… In this blog post, I’d love to share my recent findings on model comparison.

  Tags: Machine Learning, Model Performance, P-value, Statistical Modeling, Statistical Significance

• How to Compute the Statistical Significance of Two Classifiers Performance Difference - Mar 30, 2016.
  
  To determine whether a result is statistically significant, a researcher would have to calculate a p-value, which is the probability of observing an effect given that the null hypothesis is true. Here we are demonstrating how you can compute difference between two models using it.

  Tags: Classifier, Cross-validation, Model Performance, Statistical Significance