Parameters in logistic regression?

#1

If the training set has 3 features, what should be the x and y-axis parameters? For example, in binary logistic regression, the first column is on the x-axis and 1second column is on y-axis…

#2

Hi Jayanth,

So, you want to visualize the dataset having more than 2 dimensions. You can choose to plot points in 3 Dimensions with different colors for unique y-labels. Though it will be very difficult to understand what that plot actually representing. And beyond 3 Dimensions you cannot plot the graph.

And we don’t do visualization part when our dataset get lots of features. So, it’s okayish if you want to skip this part.

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#3

Ah ok, but dont we have to plot and see how the correlation between the data exist before we apply our algorithm?

#4

Yes, we have to check the correlation of features. For this purpose use .corr() function of pandas
e.g - df.corr()

And if you want to plot the the correlation among features and y-labels use heatmap() from seaborn library for visualization. e.g - sns.heatmap(df.corr())

I hope this will clear your doubt. :slight_smile:

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#5

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