This repository contains some configurations for the pipelines created with the MLS Toolbox Code Generator.
| Example | Description | Details |
|---|---|---|
| diabetes_prediction | The defined ML pipeline aims to train a model for diabetes prediction using the SVM-supervised algorithm from the scikit-learn library | Wiki |
| big_mart_sales_prediction | The defined ML pipeline is used for a real case scenario, a pipeline that tackles the Big Mart Sales Prediction Practice Problem hackathon. | Wiki |
| iris classification | The defined ML pipeline aims to evaluate Random Forest and SVM algorithms for Iris classification (depending on sepal Length, sepal Width, petal Length and petal Width). | Wiki |
| purchase experience prediction | The defined ML pipeline aims to train a model to predict the purchase experience report using linear regressor algorithm. | Wiki |
| svm-image-classification | The defined ML pipelines aims to train a model for image classification, using SVM algorithm calculating the confusion matrix and a classification report from sklearn metrics. | Wiki |
There is information about the quality of the generated code in the Wiki.