Aim: The Objective of the work is to predict the accuracy of Breast Cancer using the novel multi layer perceptron comparative with Support Vector Machine. Material and Methods: The accuracy and loss are performed with dataset from the github library. The total sample size is 20. The two groups Novel Multi Layer Perceptron (N=10) and Support Vector Machine (N=10) were proposed for predicting the accuracy of Breast Cancer prediction. Result: The results proved that the Novel Multi Layer Perceptron with better accuracy of 90.45% is obtained than the Support Vector Machine of 86.45%. The Support Vector Machine appears significantly better than the Novel Multi Layer Perceptron. The Statistical significance difference between the Support Vector Machine algorithm and Novel Multi Layer Perceptron was found to be 0.194 (p<0.05). Conclusion: The results proved that Support Vector Machine helps predicting Breast Cancer with high accuracy.