Habit completion predictor

Ship #1 Changes requested

@zico on Habit completion predictor · 7 days ago

I just wrapped up the development of the prediction model although i’m yet to implement an auto retraining of model based on users data because i have little data to actually analyse which model would be the best which still leaves the model at the default one trained with synthetic data. Your data are been kept tho and would be trained on when the feature is active and your logs is up to the min requirement

2 devlogs
40h

Try project → See source code →

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@zico on Habit completion predictor · 18 days ago

3h 53m 54s logged

I just fixed a server failure for the backend due to duplicate db table. It’s up and running to use now. I’ll be improving feature engineering for the underlyin ML Model after i’ve gathered enough real data. Feel free to check out the project and suggest any changes 😊

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@zico on Habit completion predictor · 2 months ago

36h 21m 46s logged

Successfully trained the model with an accuracy of 99% (PSS: That’s because i used synthetic dataset and it wasn’t realistic enough).

What i’ve done so far:

Feature Engineering: Mapped out features that could be useful in predicting an habit completion and filtered out noise features
Created a synthetic dataset for the ML training using Logistic Regression and Decision Tree (Both seemed to work well tho).
I tested the ML model with the training dataset and did a mini visual evaluation on the model accuracy and features dependency.