What is a good R-squared value?

Context-dependent: R^2 = 0.99 for physical science models, 0.70-0.80 for econometric models, 0.30-0.50 for social sciences, 0.10-0.20 for stock return models. Low R^2 does not mean the model is wrong - it means high unexplained variance, common in complex human behavior prediction.

Why use adjusted R-squared instead of R-squared?

R^2 always increases when adding predictors, even noise. Adjusted R^2 penalizes for predictor count: adj_R^2 = 1 - ((1-R^2)*(n-1)/(n-k-1)). If adding a predictor decreases adjusted R^2, it harms the model. Always use adjusted R^2 for model selection when comparing models with different numbers of features.

Regression R-Squared and Adjusted R-Squared Calculator

Calculate R-squared and adjusted R-squared for regression models. Assess model fit quality and penalize for unnecessary predictors.

Networking

Algorithms

Binary & Number

Systems

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IP Subnet Calculator

IP Address

CIDR Prefix

Network

192.168.1.0

Broadcast

192.168.1.255

Subnet Mask

255.255.255.0

First Host

192.168.1.1

Last Host

192.168.1.254

Usable Hosts

254

Binary breakdown:

IP: 11000000.10101000.00000001.00000000

Mask: 11111111.11111111.11111111.00000000

Net: 11000000.10101000.00000001.00000000

How to Use

Enter the values for the patient or scenario you are assessing. Calculate R-squared and adjusted R-squared for regression models. Assess model fit quality and penalize for unnecessary predictors. Use the regression r-squared result to inform your clinical assessment.

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Regression R-Squared and Adjusted R-Squared Calculator

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How to Use

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Frequently Asked Questions

What is a good R-squared value?

Why use adjusted R-squared instead of R-squared?