Calculate and print the mean squared error

Assignment Help Computer Engineering

Reference no: EM133482258

Objective: build understanding of Support Vector Machine classification

Load the "iris" dataset from sklearn.datasets. Split the dataset into training and testing sets, with a 70:30 ratio, and set the random state to 42.
construct a Decision TreeClassifier model and fit it to the training data.

Generate predictions using the trained model on the testing data. Calculate and print the accuracy of the classifier.

Visualize the Decision Tree using the graphviz library. Save the resulting visualization as a PDF or PNG file.

Regression:

Question: Load the "boston" dataset from sklearn.datasets. Split the dataset into training and testing sets, with a 70:30 ratio, and set the random state to 42.

Construct a DecisionTreeRegressor model and fit it to the training data.

Generate predictions using the trained model on the testing data. Calculate and print the mean squared error (MSE) of the regressor.
Compare the performance of the DecisionTreeRegressor with a Linear Regression model from sklearn.linear_model. Fit the Linear Regression model to the training data, generate predictions on the testing data, and calculate the MSE.

Give a brief reflection on the differences in performance between the DecisionTreeRegressor and Linear Regression models. Discuss the strengths and weaknesses of Decision Trees in regression tasks.

Reference no: EM133482258

Questions Cloud

What changeover strategy would you suggest : What changeover strategy would you suggest for the new accounting system and When should a post-implementation evaluation be conducted

How might large companies such as facebook pose : How might large companies such as Facebook pose a threat to democracy? What would someone say who thinks this idea is false?

Importance of benchmark in relation to evaluating : Discuss the importance of selecting a benchmark in relation to evaluating and presenting project outcomes.

Compare the result of chosen classifiers : Compare the result of chosen classifiers and clustering experiments: Using k-Means clustering algorithm to cluster the data samples and visualize the results

Calculate and print the mean squared error : Calculate and print the mean squared error (MSE) of the regressor. Compare the performance of the DecisionTreeRegressor with a Linear Regression model

Describe the issues of the current ethical culture : OMM 640- Describe the issues of the current ethical culture. Formulate a plan to change ethical culture. Convince CEO and shareholders of importance of changes.

Effect of different foodstuffs on arterial health : Do not drink wine. And then there's chocolate. We receive conflicting messages about the effect of different foodstuffs on arterial health.

Discuss the profession that you are in and look : Discuss the profession that you are in and look for future outlooks for the profession. These might include professional certifications, new languages

Does the concept of users shaping new technology : Does the concept of users shaping new technology support the idea of technological determinism or undermine it

User Account

All Pages