# Game Design Scoring Regression Model

### Data

The data that this model used to train is the csv `./point-weighting-combined-new.csv`

and was made in a spreedsheet

### Building the model

Run the script `./generate_model.py`

to build the model

### Usage

To run the model that you built, this is all the code needed

```
from tensorflow import keras
import numpy as np
import csv
from generate_model import get_data_Y, get_data_X
# Import the model made by ./generate_model.py
model = keras.models.load_model('neural_network.model')
# Gets the data from the model generator file "./generate_model.py"
X = get_data_X()
Y = get_data_Y()
def test_each_match():
# Get the result actual win value, and the one predicted by the model
for x, y in zip(X, Y):
# Predicts the Y value from a given X
result = model.predict(np.array([x]))
# Prints the values in the (actual, predict) format
print(y[0], result[0][0])
```