# Building Bot

### Precision vs. Recall

**Precision**: Of all the records we predicted positive, what fraction are actually positive?

**Recall**: Percentage of total relevant results correctly classified by your algorithm

**Example:** Suppose a computer program for recognizing dogs in photographs identifies 8 dogs in a picture containing 12 dogs and some cats. Of the 8 dogs identified, 5 actually are dogs (true positives), while the rest are cats (false positives).

* Precision is 5/8
* Recall is 5/12.

#### F1-Score

* Balance between precision and recall

## Things you have tested

* [x] create\_meeting with no name
* [x] create\_meeting with name
* [ ] create\_meeting with names
* [x] add\_item with no name + no item
* [x] add\_item with no name
* [x] add\_item with no item
* [x] add\_item with name and item
* [ ] help

## Problems I ran into

* how do we deal with "all meetings" in sync case
* should we distinguish between 1:1 and meetings

## Evaluating overall chatbot accuracy

* intent
* entity
* link (check status code)