Category: Data Modeling
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Report Generation
In this example we use VerbaGPT to create and compare a neural network model to linear regression while using the famous Abalone dataset . We then ask it to generate a report for us. Video: User question: Give me a neural network and a linear regression model to predict rings. Compare their performance. VerbaGPT response:…
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Neural Network
In this example we use VerbaGPT to create and compare a neural network model to linear regression while using the famous Abalone dataset . Video: User question: apply a neural network approach to predict rings. Give me the r2 and compare it to a linear regression approach VerbaGPT response: Cost of query: $0.00* * Using…
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Polymodeling
In this example we use VerbaGPT to create multiple models to predict the progression of diabetes from the famous diabetes dataset. Video: User question: Give me 3 best models to predict the iris flower. Please rank their performance, and include confusion matrix as at least one measure of performance. VerbaGPT response: Cost of query: $0.00*…
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Complex Classification
In a previous post, we asked VerbaGPT to build a classification model for us. In this example we use VerbaGPT to classify the type of Iris flower from the famous iris dataset. However, we challenge it further by asking for not one but 3 models, and giving us a confusion matrix as the measure of…
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Classification: Iris
In this example we use VerbaGPT to classify the type of Iris flower from the famous iris dataset. Video: User question: Give me a model to classify the iris flower. Give me the confusion matrix as a performance metric. VerbaGPT response: Cost of query: $0.00* * Using open-source llama4-maverick model from OpenRouter [[50 0 0]…
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Climate Data
In this example we use VerbaGPT to analyze some climate data. We use publicly available data from IMF. Video: Coming soon… We start by asking a simple data question. User question: Give me the temperature change in USA for 2015. VerbaGPT response: Cost of query: $0.00 Temperature change in USA for 2015: 1.531 Nice, clean…
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Multiple Models
In this example we ask VerbaGPT to give us the top 5 models to predict a variable. Video: User question: Give me the top 5 models to predict Rings. use r2 as performance metric VerbaGPT response: Cost of query: $0.00* * Using open-source llama4-maverick model from OpenRouter Random Forest: 0.5727 Gradient Boosting: 0.5616 Linear Regression:…
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Rank Top Drivers
In this example we ask VerbaGPT to give us a ranked list of variables that drive a target variable’s value. In this example we use the famous (in data modeling) Abalone dataset . Video: User question: Rank the top 5 variables that explain the variation in Rings VerbaGPT response: Cost of query: $0.00* * Using…
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Linear Regression
In this example we ask VerbaGPT to give us a model and associated performance metrics on some data. Video: User question: Give me a model to predict Rings. Provide at least two performance metrics, including r2 VerbaGPT response: Cost of query: $0.00 Answer: Mean squared error: 5.01 R-squared: 0.54 VerbaGPT answered the question correctly. Since…