Table 9 Business success prediction results
From: Exploring investor-business-market interplay for business success prediction
Method | Algorithm | Accuracy | AUC |
|---|---|---|---|
Baseline method - 500 dimensions | Logistic regression | 0.57 | 0.76 |
Random forest-100 | 0.74 | 0.81 | |
Random forest-200 | 0.74 | 0.82 | |
Decision tree | 0.66 | 0.67 | |
K-nearest neighbor | 0.69 | 0.75 | |
XGBoost | 0.74 | 0.82 | |
AdaBoost | 0.73 | 0.80 | |
Neural network(sequential) | 0.53 | 0.67 | |
IBM interplay features - 563 dimensions | Logistic regression | 0.75 | 0.81 |
Random forest-100 | 0.77 | 0.85 | |
Random forest-200 | 0.77 | 0.85 | |
Decision tree | 0.71 | 0.71 | |
K-nearest neighbor | 0.69 | 0.75 | |
XGBoost | 0.76 | 0.85 | |
AdaBoost | 0.76 | 0.83 | |
Neural network(sequential) | 0.52 | 0.60 |