# Incorrect Predictions: My model is predicting incorrectly and I'm not sure what to do

**URL:** <https://forum.rasa.com/t/incorrect-predictions-my-model-is-predicting-incorrectly-and-im-not-sure-what-to-do/12812>\
**Category:** Rasa Open Source\
**Created:** [July 11, 2019, 12:55pm UTC](https://forum.rasa.com/t/incorrect-predictions-my-model-is-predicting-incorrectly-and-im-not-sure-what-to-do/12812 "2019-07-11T12:55:06Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![anurags](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/anurags/32/4500_2.png) [@anurags](https://forum.rasa.com/u/anurags)\
**Post date:** [July 11, 2019, 12:55pm UTC](https://forum.rasa.com/t/incorrect-predictions-my-model-is-predicting-incorrectly-and-im-not-sure-what-to-do/12812/1 "2019-07-11T12:55:06Z")

</div>

I have a lot of slots, templates, intents and actions/forms in my domain.yml file.

I used to use rasa\_core v0.12.2 and then switched to rasa\_core v0.14.1. After switching, the model started to train much quicker but the very same domain and stories files used to train the model started giving incorrect predictions.

Problem Points: Suppose I have a form which asks two slots and as a way to stop the form execution, I’ve added the following story:

```
## Create Appointment
* create_appointment
   - create_appointment_form
* deny
   - utter_ask_continue
* stop
   - action_deactivate_form
   - reset_slots
   - utter_default

```

I have a couple other forms where I’ve added this way to stop the form.

The problem is that on a random story which involves two/three forms one after another, the prediction goes haywire.

E.g.

```
## Personal Details
* personal_details
    - personal_details_form
* create_ticket
    - create_ticket_form <!-- predicted: utter_ask_continue -->

```

Why is Rasa not giving an emphasis to the intent predicted when deciding the next action? Can I add the extra bias to intents during featurization? If so, how do I go about doing that?

What I’ve tried/know:

- I know that the Memoization Form was modified and that the Augmented Trackers no longer are used for the memoization lookup. This results in both a smaller model size and weaker predictions.

- I didn’t notice any change in the Keras Policy Code or the featurizer.py between the two versions (0.12.2 and 0.14.1)

- Changing the Max History in the training config.yml file. Increasing it to be around 10 when my max actions in a story is 8 seems to improve the model a bit but not much.

- Commented this line of code to improve Memoization Policy (by allowing augmented stories to add to the lookup):

What I would like to know:

- What should my approach be? Should I change my training data so that every story is concatenated with every other in a round robin fashion to improve predicitions?
- Should I modify any code and if so which code?
- Should I write my own policy and if so then how?
- Should I just upgrade to Rasa 1.0.x? Is this changed or is it the same since v0.14.1?
- Any other I’m not thinking of?