Which algorithm or tool to use to classify as good or bad?
Based on the comments I'll try to answer. I guess you don't have the corresponding labeles. What you can do as a solution is that you can use k-means algorithm as the easiest start point to and specify the hyper parameter, k, to two. Then you can find two clusters and you yourself can evaluate the results. As another approach, you can increase the size of k and again evaluate your answers. You can also use Gaussian Mixture Models for finding better non-convex clusters which have better results. The point is that you have to evaluate the results as an expert and label them manually. This task accelerates the labeling process. After that you can employ a simple MLP for finding a descriminative model.