Testnet datasets
Below you can find some data models to help you explore the built-in demos inside the testnet
Below you can find some data models to help you explore the built-in demos inside the testnet
Model 1 | Breast Cancer Wisconsin (Diagnostic) Prediction This predictive model, employing the powerful XGBoost (Extreme Gradient Boosting) algorithm, is based on the UCI ML Breast Cancer Wisconsin (Diagnostic) dataset. | XGBClassifier | Open   |
Model 2 | SPAM E-mail Classifier The SPAM E-mail Classifier, powered by the DecisionTreeClassifier algorithm, is designed to discern between spam and non-spam emails. | DecisionTreeClassifier | Open |
Model 3 | Ames Housing Dataset The Ames Housing Price Prediction model, utilizing the XGBRegressor algorithm, is designed to predict the sales prices of houses. | XGBRegressor | Open |
Model 4 | Iris Flower Classifier The Iris Flower Classifier, implemented with the NeuralNetClassifier algorithm, is based on the famous Iris database first introduced by Sir R.A. Fisher. | NeuralNetClassifier | Open |