{% extends "header.html" %} {% block content %}

### STEPS TO BE FOLLOWED

Before doing any input in the forms, get yourself familiar with the steps to be followed and the type of dataset to be provided.

#### TRAINING

During training session you are required to provide the dataset and the target field column id. For example if the target variable is in third column then enter 3 as the input. By default 50% data is choosen for training a model.

#### TESTING

Testing is basically prediction of same dataset and checking the differences in actual and predicted result from built model. Based on this we can check how far smart our model is. By default 50% of rest dataset from training dataset is used to check the result.

#### PREDICTION

For prediction session, we can use new dataset for prediction of result from built model. By default prediction of data from model is done in testing only for convenience purpose.

{% csrf_token %}
START BUILDING MACHINE LEARNING REGRESSION MODELS
EMAIL ID :
ENTER TARGET VARIABLE:
NUMBER
Train File Upload :
{% endblock %}