| person-re-identification-on-esports-sensors | Random Forest | #1 | Accuracy: 52.1LogLoss: 0.01617ROC AUC: 0.919 |
| person-re-identification-on-esports-sensors | Logistic Regression | #2 | Accuracy: 48.8LogLoss: 0.01615ROC AUC: 0.884 |
| person-re-identification-on-esports-sensors | SVM | #3 | Accuracy: 45LogLoss: 0.01588ROC AUC: 0.89 |
| person-re-identification-on-esports-sensors | KNN | #4 | Accuracy: 41.5LogLoss: 0.05735ROC AUC: 0.84 |
| person-re-identification-on-esports-sensors | Random Guess | #5 | Accuracy: 10LogLoss: 0.02303ROC AUC: 0.5 |
| skills-evaluation-on-esports-sensors-dataset | SVM | #1 | Accuracy: 85.6LogLoss: 0.311ROC AUC: 0.945 |
| skills-evaluation-on-esports-sensors-dataset | Logistic Regression | #2 | Accuracy: 83.8LogLoss: 0.596ROC AUC: 0.886 |
| skills-evaluation-on-esports-sensors-dataset | Random Forest | #3 | Accuracy: 80LogLoss: 0.456ROC AUC: 0.885 |
| skills-evaluation-on-esports-sensors-dataset | KNN | #4 | Accuracy: 74.1LogLoss: 0.442ROC AUC: 0.899 |
| skills-evaluation-on-esports-sensors-dataset | Random Guess | #5 | Accuracy: 50LogLoss: 0.693ROC AUC: 0.5 |