How to set up Learning |

MailWasher Pro's Learning function uses a special filtering technique for identifying incoming spam. To identify spam, MailWasher Pro's filter looks at the entire context of an email, not just the heading and subject line. It then compares the content of messages that are known to be spam with messages that are known to be legitimate, in order to build up a database of words that is used to predict or identify the probability that a future email is spam or not. The filter learns to identify new spam the more it analyzes incoming messages and can train itself to identify new patterns of spam.

To view Learning:

then click Learning from the tree

Complete the steps below to set up the Learning feature.

Step | Action
1 | Click and then Learning

2

Under the Learning Tab, select Teach MailWasher Pro to recognize your junk mail and legitimate mail.

This options adds a Learning column to the message table, where you inform MailWasher Pro which messages are legitimate and which are junk.

Tick Limit learning archive size to and leave as 4MB per category.

Specify the Action to take If while using the learning column, you specify that an email is junk.

Your options are:

Mark the sender of the email to be blacklisted

Mark the email for deletion

Mark the email for bounce

Mark the email for reporting to FirstAlert!

Mark the email for reporting to SpamCop

Specify whether emails marked as legitimate should be added to your Friends list.

3

Click the Recognizing Spam tab at the top.

Select Classify message as spam if they resemble the spam MailWasher Pro has been taught.

Specify the Action to take When an email resembles junk.

Your options are:

Mark the sender of the email to be blacklisted

Mark the email for deletion

Mark the email for bounce

Display the email

Select when this action should be performed:

On Process Mail or Automatically.

Please note that choosing to process messages (classified as spam) Automatically, is not recommended as the Learning Tool requires a certain amount of training to be highly accurate. However, if your experience is that it's trained well enough, you have the option to do so.

You can also choose to select Color the entire row and choose the intensity of color by using the up and down arrows to the right of the color box.

Blocking Level - the Blocking level lets you specify how much an email must resemble spam before it is blocked. When the slider is near the Block Few end, only the most suspicious looking email will be blocked. Blocking becomes more aggressive as the slider is moved toward the Block Many end, where all suspicious looking email will be blocked.

You can either manually set the slider yourself as outlined above, or choose Auto-tune:

Auto-tune raises the blocking level and acceptance level as more messages are learned. Once the classifying has been working well for you for a while, you may wish to turn off the Auto-tune and decide blocking and acceptance levels yourself. The Auto-tune feature sets both the blocking level and the acceptance level.

4

Click the Recognizing mail tab at the top.

Select Classify message as legitimate if they resemble the mail MailWasher Pro has been taught.

Specify the Action to take When an email looks legitimate.

Your options are:

Mark the sender of the email to be added to the friends list. (Not always recommended)

Display the email

You can also choose to select Color the entire row and choose the intensity of color by using the up and down arrows to the right of the color box.

Acceptance Level - the Acceptance level lets you specify how legitimate an email must look before it gets classified as such. When the slider is near the Accept Few end, only the most legitimate looking email will be passed. Acceptance becomes less demanding as the slider is moved toward the Accept Many end, where all legitimate looking email will be marked as such.

You can either manually set the slider yourself as outlined above, or choose Auto-tune:

Auto-tune raises the blocking level and acceptance level as more messages are learned. Once the classifying has been working well for you for a while, you may wish to turn off the Auto-tune and decide blocking and acceptance levels yourself. The Auto-tune feature sets both the blocking level and the acceptance level.

5 | Click .

How to classify your email using Learning | Is it advisable to auto-delete based on the Learning Tool?

Troubleshooting

Is it advisable to auto-delete based on the Learning Tool?

It is not recommended because of the amount of training required for the Learning Tool to be highly accurate, but if your experience is that it's trained well enough, you have the option to do so.