Explain with an example how to find out the p-values in order to avoid multicollinearity?
In logistic regression, p-value can be found by the following code
1 Answer · 853 Views · Answered ✓
Browse 121 Machine Learning questions and answers from learners and industry experts. Find practical fixes, interview prep and step-by-step solutions - or ask your own.
In logistic regression, p-value can be found by the following code
1 Answer · 853 Views · Answered ✓
ROC curve can give us a clear idea to set a threshold value to classify the label and also help in model optimization.
1 Answer · 1.2K Views · Answered ✓
F1-Score is the harmonic mean of the precision and recall. Multiplying the constant of 2 scales the score to 1 when both precision and recall are 1.
1 Answer · 1.4K Views · Answered ✓
Following are the evaluation parameters considered in logistic regression
1 Answer · 1.7K Views · Answered ✓
Grid search is an algorithm used for tuning a model by considering every hyperparameters specified and used for evaluating a model. It is used to…
1 Answer · 1.3K Views · Answered ✓
Cross-validation is a method which is used to estimate the performance of a model.K- Fold is used to evaluate the model on a limited data sample.
1 Answer · 2.0K Views · Answered ✓
The below parameters are considered for multicolinearity issues.
1 Answer · 1.7K Views · Answered ✓
Categorical variables are discrete variables present in a data which are needed to be converted into continuous variable. Now continuous variables…
1 Answer · 1.1K Views · Answered ✓
K-S Statistic is the measure of the maximum distance between two population distributions. This parameter is useful when discriminating default…
1 Answer · 2.8K Views · Answered ✓
It is a process of measuring quality of fit for a binary outcome in a model. It is a proportion of pairs in which the predicted event probability is…
1 Answer · 2.2K Views · Answered ✓
ROC or Receiver Operating Characteristic curve is a graphical representation that gives an idea between True Positive rate against False Positive…
1 Answer · 2.1K Views · Answered ✓
Akaike Information Criteria or AIC, in simple words, is a trade-off between bias versus variance. It helps to calculate the relative quality of a…
1 Answer · 1.5K Views · Answered ✓
Free tutorials and interview questions from industry experts — learn the skill, then get ready to prove it.
Step-by-step Data Science guides from industry experts
Common Data Science interview questions, answered
Guides, tips and career advice on Data Science from JanBask experts.
Data Science The Best Data Science Projects (Beginner To Advanced)
Discover 15 data science project ideas from beginner to advanced levels. Includes tech stacks, time estimates, & real-use cases.…
Data Science Data Science vs Software Engineering - What you should know?
Compare Data Science vs. Software Engineering - explore skills, tools, roles, salaries, and career scope. Discover which tech…
Data Science Top 15 Deep Learning Algorithms You Must Know in 2025
Discover the top 15 deep learning algorithms powering AI in 2025. Learn how deep learning models, DL models, and deep machine…
Data Science Deep Learning Tutorial Guide for Beginners
Deep Learning, Machine Learning & Artificial Intelligence have become trending words of the IT sector today.
Pick another topic to find answers, interview questions, and real-world tips.