How to get a regression summary in scikit-learn like R does

0 votes

As an R user, I wanted to also get up to speed on scikit.

Creating a linear regression model(s) is fine, but can't seem to find a reasonable way to get a standard summary of regression output.

Code example:

# Linear Regression
import numpy as np
from sklearn import datasets
from sklearn.linear_model import LinearRegression

# Load the diabetes datasets
dataset = datasets.load_diabetes()

# Fit a linear regression model to the data
model = LinearRegression(),

# Make predictions
expected =
predicted = model.predict(

# Summarize the fit of the model
mse = np.mean((predicted-expected)**2)
print model.intercept_, model.coef_, mse, 


  • seems like the intercept and coef are built into the model, and I just type print (second to last line) to see them.
  • What about all the other standard regression output like R^2, adjusted R^2, p values, etc. If I read the examples correctly, seems like you have to write a function/equation for each of these and then print it.
  • So, is there no standard summary output for lin. reg. models?
  • Also, in my printed array of outputs of coefficients, there are no variable names associated with each of these? I just get the numeric array. Is there a way to print these where I get an output of the coefficients and the variable they go with?

My printed output:

LinearRegression(copy_X=True, fit_intercept=True, normalize=False)
152.133484163 [ -10.01219782 -239.81908937  519.83978679  324.39042769 -792.18416163
  476.74583782  101.04457032  177.06417623  751.27932109   67.62538639] 2859.69039877

Feb 25, 2022 in Power BI by surbhi
• 3,810 points

1 answer to this question.

0 votes

In sklearn, there is no summary report for R type regressions. The key reason for this is because sklearn is used for predictive modelling / machine learning, and the assessment criteria are based on performance on previously unseen data (for example, predictive r^2 for regression).

sklearn.metrics.classification_report is a summary function for classification that calculates several types of (predictive) scores on a classification model.

Empower Your Data Insights with Power BI Certification.

answered Feb 27, 2022 by CoolCoder
• 4,400 points

Related Questions In Power BI

0 votes
1 answer

How can I get a column value from previous row in Power Query?

Hi Sindhu, add this line as your ...READ MORE

answered Mar 18, 2019 in Power BI by Cherukuri
• 33,030 points
0 votes
1 answer

How to Transpose unique values and get matching values in rows?

I think this query should do what ...READ MORE

answered Apr 1, 2019 in Power BI by Upasana
• 8,620 points
0 votes
1 answer

How To use R Integration in Power BI?

Hi,  There are a lot of packages available ...READ MORE

answered May 3, 2019 in Power BI by Avantika
• 1,520 points
0 votes
1 answer

Why does a reference to a value in previous row throw this Expression.Error?

If you have multiple steps after the ...READ MORE

answered May 9, 2019 in Power BI by Avantika
• 1,520 points
0 votes
1 answer

Displaying Table Schema using Power BI with Azure IoT Hub

Answering your first question, Event Hubs are ...READ MORE

answered Aug 1, 2018 in IoT (Internet of Things) by nirvana
• 3,130 points
+1 vote
1 answer

Unable to install connector for Power Bi and PostgreSQL

I think the problem is not at ...READ MORE

answered Aug 22, 2018 in Power BI by nirvana
• 3,130 points
+2 votes
2 answers

Migrate power bi collection to power bi embedded

I agree with Kalgi, this method is ...READ MORE

answered Oct 11, 2018 in Power BI by Hannah
• 18,570 points
+1 vote
1 answer

Connect power bi desktop to dataset and create custom reports

Yes using Power BI REST API to ...READ MORE

answered Sep 18, 2018 in Power BI by Kalgi
• 52,360 points
0 votes
1 answer

If there a way to have the current month by default in a KPI representing MoM% in Power BI

The PREVIOUSMONTH DAX function can be used ...READ MORE

answered Feb 16, 2022 in Power BI by CoolCoder
• 4,400 points
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP