How did you train the decision tree model for classification

Reference no: EM132798841

Assignment: Problem Context: This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

Dataset Content The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

Tasks: 1. Using KNIME platform Examine Summary Statistics

2. Build a Decision Tree Workflow in KNIME

3. Do the Classification Task on the dataset based on the Decision Tree you built in the previous step

4. Evaluate the Performance of your Decision Tree Model by Generate a Confusion Matrix and Determine Accuracy Rate

What to submit:

1. Summary Statistics of dataset (in a word document)

2. Explain how did you train the decision tree model for classification (in a word document)

3. Confusion Matrix results for your trained decision tree and its interpretation (in a word document)

4. KNIME Workflows of your Decision Tree model

Note: Excel data attached herewith.

Reference no: EM132798841

Questions Cloud

Function of management-leading : What type of planning activities will you need to use as a manager

How would you define niche marketing : How would you define Niche Marketing? Explain two advantages and disadvantages of niche marketing?

Which type is best for compressing an encyclopedia : Post your answer to the questions after watching the videos: Explain how does MP3 and RLE maintain audio quality while also reducing file sizes?

Undertaking an action research project : What are some of the dangers of a researcher undertaking an action research project in his or her own organization? Is it possible to avoid these dangers?

How did you train the decision tree model for classification : This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict.

Why are low-density lipoproteins considered unhealthy : Why are low-density lipoproteins (LDL) considered unhealthy, and people encouraged to lower LDL, while high-density lipoproteins are considered healthy.

Discusses two ways of seeing : In paragraphs 28 - 30, Dillard discusses two ways of seeing. Explain these two ways of seeing with examples from the essay

What is proper etiquette for a job interview : What is proper etiquette for a job interview? Tell me about yourself; please include years of experience as a nurse and your previous work history.

What are the determinants of health affecting the disease : What are the determinants of health affecting this disease? Identify the epidemiologic triad including host, agent and environmental factors as related.

User Account

All Pages