Table 1 F1-scores of six models predicting shareholder type based on the results of test dataset.
From: A dataset of venture capitalist types in China (1978–2021): A machine-human hybrid approach
Type to predict | Prediction Models | |||||
|---|---|---|---|---|---|---|
Decision tree | Random Forest | SVM | KNN | MLPClassifier | Xgboost | |
1 (Public agency) | 0.87 | 0.90 | 0.26 | 0.88 | 0.71 | 0.97 |
2 (Corporate) | 0.85 | 0.91 | 0.62 | 0.67 | 0.72 | 0.91 |
3 (Bank) | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 |
4 (Financial) | 0.48 | 0.40 | 0.03 | 0.18 | 0.00 | 0.61 |
5 (University) | 0.91 | 0.67 | 0.40 | 1.00 | 0.00 | 1.00 |
6 (Professional) | 0.82 | 0.87 | 0.64 | 0.73 | 0.63 | 0.88 |
7 (SOE) | 0.56 | 0.40 | 0.57 | 0.55 | 0.60 | 0.75 |
