# Is it possible to find an internal event in a Classification between two classes?

I am very new to the machine learning area. So my question might be trivial

I have two classes $$U, V$$ of binary vectors. In the training phase,

I use $$u_1,\ldots, u_{1000}$$ from $$U$$ class and $$v_1, \ldots, v_{1000}$$ from $$V$$.

In the testing phase, I have to determine whether a vector is coming from $$U$$ or $$V$$

How can we do that with good accuracy? Also, can we find internal event by which ML makes the clasification?

• What do you mean by "internal event"? A rule which the classification model uses to do the classification? For example if the 1st coordinate of the vector is 1 then the vector belongs to U otherwise it belongs to V? Mar 30 at 8:56
• Yes, exactly. I would like to see the rule.
– Sanu
Mar 30 at 9:19