Please help with this problem.

2. Classification Techniques. Below is a table (also provided as "defects.csv"). The data have two attributes, A and B, and a result. Result has two values, good and bad A B 0.1 0.2 result 0.1 bad 1 good 0.5 bad 0.8 good 0.4 bad 0.2 0.3 0.3 0.3 0.1 bad 0.4 1.1 good 0.4 0.3 bad 0.4 0.5 0.5 0.1 bad 0.9 good 0.8 good 0.5 bad 1.1 good 1.1 bad 0.5 0.7 1.4 1.5 0.3 good 1.5 1 bad 1.6 6] 6 d[ G[ ] [ 1.6 1.7 1.7 1.7 0.2 good 1 bad 0.4 good 0.2 good 0.9 bad 1.1 bad 1.2 bad 0.1 good 0.3 good 1.8 1.8 1.9 1.9 a. Which classification techniques work on the dataset? Which do not? b. How did you arrive at your answer for part a.? Explain. C. For the techniques that do not work, is there any transformation that can be applied to get them to work appropriately? Explain. d. Which classifier provides the best result? Use RMSE as the metric in your response