Is this dataset linearly separable? If not, can it be converted into one by applying some function as it seems to follow the same pattern?
Also, which classification algorithms could be used to fit this dataset?
Topic linearly-separable activation-function classification dataset
Category Data Science
As Nikos said, the dataset is not linearly separable: one cannot draw a single straight line which has all the red points on one side and all the green points on the other.
There is an obvious repetition pattern on $x_2$. Let's assume that $x_2$ ranges from 0 to 100 on this graph, the value $x_2$ modulo 50 would make it linearly separable. That would be feature engineering.
Notice that $x_1$ doesn't have any impact on the class. So imho the best algorithm in this case is to just map $x_2$ intervals to the class.
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