Score: 0.924 Iterations:  300 Depth:  2
Score: 0.94 Iterations:  300 Depth:  3
Score: 0.951 Iterations:  300 Depth:  4
Score: 0.962 Iterations:  300 Depth:  5

Score: 0.919 Iterations:  400 Depth:  2
Score: 0.941 Iterations:  400 Depth:  3
Score: 0.952 Iterations:  400 Depth:  4
Score: 0.96 Iterations:  400 Depth:  5

Score: 0.915 Iterations:  500 Depth:  2
Score: 0.937 Iterations:  500 Depth:  3
Score: 0.949 Iterations:  500 Depth:  4
Score: 0.961 Iterations:  500 Depth:  5

Score: 0.917 Iterations:  600 Depth:  2
Score: 0.936 Iterations:  600 Depth:  3
Score: 0.952 Iterations:  600 Depth:  4
Score: 0.963 Iterations:  600 Depth:  5

Score: 0.92 Iterations:  700 Depth:  2
Score: 0.934 Iterations:  700 Depth:  3
Score: 0.952 Iterations:  700 Depth:  4
Score: 0.964 Iterations:  700 Depth:  5

Score: 0.915 Iterations:  800 Depth:  2
Score: 0.939 Iterations:  800 Depth:  3
Score: 0.955 Iterations:  800 Depth:  4
Score: 0.961 Iterations:  800 Depth:  5

Score: 0.913 Iterations:  900 Depth:  2
Score: 0.94 Iterations:  900 Depth:  3
Score: 0.956 Iterations:  900 Depth:  4
Score: 0.964 Iterations:  900 Depth:  5