Conditions to use the Auto-ML Pipeline Tool

1. The dataset should be preprocessed.
2. Ensure that your target column is at the last column in the dataset.

Gandharva's Constant

This is a threshold number to samrtly classify a dataset into a regression or a classification problem. Gandharva's constant can be expressed in the following manner gandharva_constant = length(set(target_column))/len(target_column) if gandharva_constant>=0.4 --------> regression problem else-------> classification problem

Dataset used for testing the Auto-ML Pipleline Tool

Breifing about the dataset, it contains 60 feature columns and one target columns. 60 features are simply the values captured by the SONAR Machine and based on these mathematical readings, we have to predict whether the object detected by the SONAR is a rock or a war-mine planted by enemy. You can acces the dataset from the following link down below. https://drive.google.com/drive/folders/1RGm6fiYMts1n42ja27XCuDLo0CG9DrSC?usp=sharing