Testnet datasets

Below you can find some data models to help you explore the built-in demos inside the testnet
Privasea badge
Test and develop

Choose from the 4 models

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