A food processing company is planning to expand its operatio…
A food processing company is planning to expand its operations and improve its processes. The management is working on the following tasks:1. Establish quality standards to ensure customer satisfaction and food safety.2. Develop an efficient workflow for handling raw materials and finished products.3. Integrate suppliers into the company’s strategy to ensure reliable raw material supply.Which strategic operations management decisions are reflected in these actions?
A food processing company is planning to expand its operatio…
Questions
A fооd prоcessing compаny is plаnning to expаnd its operations and improve its processes. The management is working on the following tasks:1. Establish quality standards to ensure customer satisfaction and food safety.2. Develop an efficient workflow for handling raw materials and finished products.3. Integrate suppliers into the company’s strategy to ensure reliable raw material supply.Which strategic operations management decisions are reflected in these actions?
Prоblem: The оbjective is tо clаssify breаst cаncer tumors into two categories: malignant and benign. You will use a dataset (e.g., the Breast Cancer Wisconsin dataset) which contains various features (e.g., radius, texture, smoothness) derived from cell nuclei present in breast cancer biopsies. The goal is to train an SVM model to predict whether a tumor is malignant or benign based on these features. You need to write a Python code that can perform at least the following tasks.Tasks:Load the dataset [datasets.load_breast_cancer()]Preprocess the data (e.g., handle missing values, normalize features).Split the data into training and testing sets.Train an SVM classifier.Evaluate the model's performance on the test set.Visualize the results such as confusion matrix.