3. A student compared the results of training a model using the same data and classification algorithm but different tra

[answerhappygod]

3 A Student Compared The Results Of Training A Model Using The Same Data And Classification Algorithm But Different Tra 1 (149.99 KiB) Viewed 62 times

3. A student compared the results of training a model using the same data and classification algorithm but different training methods, which were: • resub: resubstitution method • hold-out-10%: hold-out method with 90% (training) -10% (testing) split • XVal-10f: 10-fold cross-validation method • LOOCV: leave-one-out cross-validation method The following bar chart shows the average accuracy over 20 trials of using each method, with the error bars representing the standard deviation. 1.00 0.901851511852 0941544176478859 0.916666666667 0.75 Average accuracy over 20 trials 0.25 000 resub hold-out 10% XV-107 LOOCV method Figure Q3-1 1 Briefly describe each of the above four methods. (4 marks)