Research on AdaBoost.M1 with Random Forest

The AdaBoost.M1 is one of the machine learning algorithms. But it will fail if the weak learner cannot achieve at least 50% accuracy when run on these hard distributions. Random Forest is computationally effective and offer good prediction performance. A new approach AdaBoost.M1-RF algorithm, which using Random Forest as weak learner, is proposed in the paper. To evaluate the performance of AdaBoost.M1-RF algorithm, it is compared with other machine learning algorithms.