Classifying Pumpkin Variety by Seed Morphological Characteristics

This report set out to answer the question of whether an algorithm could be used to identify pumpkin seeds to a high enough degree of accuracy to replace seed analysts. This study used the approach of casting a wide net. Many of the most common statistical algorithms seen in prior academic reports regarding seeds were used and were vigorously tweaked. 

The objectives of this study are the following: 

1. Using any model, achieve an accuracy rate higher than 90%. 
2. Discover which analytical methods performed best according to accuracy. 
3. Identify the most and least important morphological features for predictions. 
4. Discuss the algorithm’s benefits in a business application. 
5. Recording results and providing their interpretation.