Aim: The Objective of the work is to predict the Accuracy of Breast Cancer Prediction Using convolutional Neural Networks Comparative with a Randomized Based Algorithm. Material and Methods: Accuracy and Loss are performed with a dataset from the Github library. The total sample size is 48. The two groups' Convolutional Neural Network (N=24), Randomized Based Algorithm (N=24) Randomized Based Algorithm (RBA) were proposed by predicting the accuracy (95.80%) of Breast Cancer Prediction compared with the Convolutional Neural Network. Results: The Result proved that the Randomized Based Algorithm with Better accuracy than the Convolutional Neural Network. The convolutional Neural Network appears significantly better than the Randomized Based Algorithm (P<0.05). Discussion and Conclusion: The Result proved that the Randomized Based Algorithm helps predict Breast Cancer Prediction and gives more accuracy.