
Art of Stat: Machine Learning
Learn and apply ML algorithms
Free · Designed for iPad
Supervised & Unsupervised Learning with Real Data
The Art of Stat: Machine Learning app includes methods for supervised and unsupervised learning, lets you split data into training and test sets, visualizes all methods, including predictions and heatmaps, and lets you assess the accuracy of your algorithm by showing the confusion matrix and more.
Included ML algorithms so far include:
- Multiple Linear Regression (including categorical predictors and interactions interactions)
- Multiple Logistic Regression (including categorical predictors and interactions interactions)
- Discriminant Analysis (Linear & Quadratic)
- Naive Bayes
- K-Means Clustering
Functionality:
- Provides various datasets (Palmer Penguins, Wine Quality, Heart Disease, Iris Flowers, Credit Card Defaults, ...) or lets user upload their own CSV file
- Split data into training and test sets
- Standardize Features
- Select continuous and/or categorical features (where appropriate)
- Visualize all methods (Scatterplots, Heatmaps), predicted labels or posterior probabilities
- Assess accuracy by displaying Confusion Matrix and accuracy statistics (including precision and recall) in multiple ways
- Make predictions for new observations
Modules in preparation:
- Decision Trees & Random Forests
- Nearest Neighbor
Ratings & Reviews
This app hasn’t received enough ratings or reviews to display an overview.
Multiple Logistic Regression
The developer, Bernhard Klingenberg, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Seller
- Bernhard Klingenberg
- Size
- 35.8 MB
- Category
- Education
- Compatibility
Requires iOS 15.1 or later.
- iPhone
Requires iOS 15.1 or later. - iPad
Requires iPadOS 15.1 or later. - iPod touch
Requires iOS 15.1 or later. - Mac
Requires macOS 12.0 or later and a Mac with Apple M1 chip or later. - Apple Vision
Requires visionOS 1.0 or later.
- Languages
- English
- Age Rating
4+
- 4+
- Copyright
- © 2025 Bernhard Klingenberg