Train Your Model

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Train Your Model

ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction.

Input the sequence:

(The length of the sequences must be equal and should be 8, 10, 12, 14, 16, 18, or 20.)

Or Upload a file:

Choose the folds number of the StratifiedKFold:
5 folds 10 folds

SHAP:

Select models:
AutoML (This model is very slow and the local version is recommended)
Logistic Regression (LR) Light Gradient Boosting Machine (LightGBM) Naive Bayes (NB) Support Vector Machine (SVM) CatBoost
Random Forest (RF) Extreme Gradient Boosting (XGBoost) K-Nearest Neighbor (KNN) Averaged One-Dependent Estimator (AODE)

Protease:

Would you like to provide testing data?
(Test data is used to evaluate the prediction performance of the model)

Testing data (The sequences should be the same length as the training set):

Or Upload a testing data file:

Would you like to provide prediction data?
(Prediction data is the sequences you want to predict cleavage sites based on the trained model)

Prediction data:

Or Upload a prediction data file:

Output with figures?
(Note: Plotting will slow down the prediction)

Email address (Optional)