Predictor widgets in Orange (python)
Budget: €8 – €30 EUR
We have to databases: movies and ratings
We have widget source code for class model, class learner and class predictor.
Instructions: implement the following predictor widgets:
- user-based predictor(prediction based on user similarity)
- slope one predictor (prediction based on popularity differential)
* evaluvate your widgets and compare your result with tre results of naive predictor
- a widget that receives the movies and ratings datasets and outputs the ratings dataset augumented with the movie title column
- add GUI to all your widgets.
We have widget source code for class model, class learner and class predictor.
Instructions: implement the following predictor widgets:
- user-based predictor(prediction based on user similarity)
- slope one predictor (prediction based on popularity differential)
* evaluvate your widgets and compare your result with tre results of naive predictor
- a widget that receives the movies and ratings datasets and outputs the ratings dataset augumented with the movie title column
- add GUI to all your widgets.