机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2

本系列文章是coursera上Andrew Ng的《Machine Learning》的测验题,每次测验都会有不同的错,记录下来,不定时的补充。错的题目希望能帮我改正一下,我改错的也希望大家能提出。

1、

机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2

Accuarcy = (85 + 10) / 1000 = 0.095
Precision = 85 / (85 + 890) = 0.087
Recall = 85 / (85 + 15) = 0.85
F1 score = 2 * (P * R) / (P + R) = 0.158


2、
(1)right
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2

(2)right
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2
3、
(1)right
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2
(2)right
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2

4、

(1)right
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2

always predict spam(y=1):


Actual 1 Actual 0
Predict 1 1 99
Predict 0 0 0

P = 1%;   R = 100%


always predict non-spam(y=0):


Actual 1 Acual 0
Predict 1 0 0
Predict 0 1 99
R = 0%;  Accuracy = 99%;



(2)wrong
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2

5、
(1)wrong
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2
(2)wrong
机器学习之Coursera Andrew Ng 《Machine Learning》 week 6 test 2