Database - Data Mining
A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.
73. Consider the following dataset. a,b,c are the features and K is the class(1/0):
| a | b | c | K |
| 1 | 0 | 1 | 1 |
| 1 | 1 | 1 | 1 |
| 0 | 1 | 1 | 0 |
| 1 | 1 | 0 | 0 |
| 1 | 0 | 1 | 0 |
| 0 | 0 | 0 | 1 |
A patient goes to a doctor with symptoms S1, S2 and S3. The doctor suspects disease D1 and D2 and constructs a Bayesian network for the relation among the disease and symptoms as the following:
A patient goes to a doctor with symptoms S1, S2 and S3. The doctor suspects disease D1 and D2 and constructs a Bayesian network for the relation among the disease and symptoms as the following:
