The high level goals of the experiment are:

1. To understand the working of linear perceptron learning algorithm.

2. To understand the effect of various parameters on the learning rate and convergence of the algorithm.

3. To understand the effect of data distribution on learnability of the algorithm.

4. To understand the implication of learning a constrained plane in d+1-dimensional space.