CNN-based deep learning approach for multiclass prediction of fin-tech startups

Key Points

• The model achieves significant multiclass prediction accuracy, showing a promising application in the fin-tech sector.
• Key evidence indicates an accuracy of 85% across various classes of fin-tech startups.
• Analysis utilizes a CNN-based deep learning algorithm evaluated on a dataset of start-up profiles in the fin-tech industry.
• This highlights the potential of deep learning to transform decision-making in startup investment and strategy.