I am not getting below
plot decision boundary.
Also unable to understand visualise.py file code.
NN - Finding Accuracy and Visualising Decison Surface
If you are talking in terms of output, than please share your code snippet.
For visualize.py file, providing the information here.
- First step, line 20,21, we have just find the minimum and maximum values for x axis and y axis.
- Second step line: 24, we have created a mashgrid, its more like creating a cartesian plane mentioning all points on graph, with xcoordinate and ycoordinate having distance between them as h = 0.01 here.
- Third step, line: 26, we have taken predictions of our model for every point on cartesian plane, nearly (height * width) points will be there.
- Forth and last step, line: 29-33, we have plotted the required plot using contourf which fills the color in the contour itself, and scatter plot.
Hope this helped you.
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