nsibal/ParameterTuning
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Scikit Learn Lab 2 Submitted by: Nirbhay Sibal (NXS180002) Submitted on: 11.04.2018 Dataset used: Wine Instructions to run the program: As soon as the program is run, the following menu is displayed: A. Decision Tree B. Neural Net C. Support Vector Machine D. Gaussian Naive Bayes E. Logistic Regression F. k -Nearest Neighbors G. Bagging H. Random Forest I. AdaBoost Classifier J. Gradient Boosting Classifier K. XG Boost Choose an algorithm from the above list: Make appropriate selection according to the above menu. The user's input is considered case insensitive. Any input other than the letters written above will lead to a "INVALID INPUT" prompt and termination of the program.
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