cross validation and significance testing

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Hello, do you mean you did 10 fold cross-validation for each of the algorithm? What algorithms do you use? Please contact me on PM for details.

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Hi, I am working as an AI Consultant @MTX Group Inc from the past one year and I am a Google Certified Professional Cloud Architect. I am also an Udacity Certified Machine Learning Nanodegree Engineer. By your description I can understand the fact that you require a statistical analysis of the methods you obtain suitable after running k-folds cross validation(k=10). I assure you you will get the best test analysis, with varied parameter tuning techniques used integrated with numerous loss metrics visualization. All this would account for you obtaining the best fitting model for your dataset, if require an Exploratory Data Analysis procedure can be carried out to further make the data more suitable for the models to fit in. I am well verse with all the concepts of Supervised, Unsupervised and Reinforcement Learning, therefore, I find myself suitable for your task. Hoping to hear from you soon.

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