Machine learning -- model evaluation, selection and verification

The first 1 Turn off ： Why should there be training sets and test sets

Our mission ： Complete the multiple-choice questions set in this level according to the knowledge learned in this lesson .

The first 1 topic

D

The first 2 topic

A

The first 2 Turn off ： Under fitting and over fitting

Our mission ： Complete the multiple-choice questions set in this level according to the knowledge learned in this lesson .

The first 1 topic

B

The first 2 topic

ABD

The first 3 Turn off ： Deviation and variance

Our mission ： Complete the multiple-choice questions set in this level according to the knowledge learned in this lesson .

The first 1 topic

B

The first 4 Turn off ： Validation set and cross validation

Our mission ： Complete the multiple-choice questions set in this level according to the knowledge learned in this lesson .

The first 1 topic

D The hyperparameter is selected according to the average of the scores of all sub models

The first 2 topic

BCD

The first 5 Turn off ： Performance indicators to measure regression

Our mission ： According to the knowledge learned in this level , Complete multiple choice questions .

The first 1 topic

AB

The first 6 Turn off ： Trap and confusion matrix of accuracy

Our mission : Fill in python Code , complete confusion_matrix Construction of binary classification confusion matrix based on function implementation .

import numpy as np

def confusion_matrix(y_true, y_predict