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RAISINS-Machine Learning Module


Discover R A I S I N S (R & AI Solutions in INferential Statistics) - your ultimate tool for mastering Automated Machine Learning! Effortlessly upload your data and let RAISINS automatically train, tune, and rank multiple machine learning models — all in one click. Explore model performance through a comprehensive leaderboard, dive deeper with powerful visualizations including Variable Importance, ROC Curves, SHAP plots, and Partial Dependence Plots, and generate instant AI-powered interpretations of your results. Predict on new data seamlessly and export publication-ready outputs with ease. Transform your raw data into intelligent, actionable predictions!


Hey! Before proceeding, you can freely explore the app using our built-in datasets. You will love it!.


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Need any assistance or statistical support? Our team will be happy to arrange a free online meeting to guide you through the app and clarify your questions. RAISINS is designed to be simple-just upload your data and click Run.


AUTO ML



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Developed by
Team RAISINS, STATOBERRY LLP
Author: Chief Statistician
© All rights reserved to STATOBERRY LLP







Visualizations
Histogram
Box Plot
Density Plot
Bar Plot
Pie Chart

Histogram


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Box Plot


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Density Plot


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Bar Plot


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Pie Chart


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Correlation
Cramér's V

Column Selection — Correlation

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Column Selection — Cramér's V

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Feature Creation

Create a new column using a simple formula.
fx
Result Preview (first 10 rows)



RAISINS ML



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Developed by
Team RAISINS, STATOBERRY LLP
Author: Chief Statistician
© All rights reserved to STATOBERRY LLP


Machine Learning model search

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These plots evaluate the efficiency of the model critically. Click the settings icon ( ⚙ ) in the top-left corner of the plot to explore the extensive customization options to personalize your visualization experience.Please adjust legend position and size if legends are occupying more space.

Variable Importance plot
Learning curve
Model Correlation heatmap
Partial dependence plot
Residual Analysis Plot
Shap Summary Plot
Receiver Operating Characteristic (ROC)
Precision Recall Curve
Confusion Matrix


Variable Importance Plot

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Partial Dependence Plot

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Residual Analysis Plot

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Learning Curve Plot

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ROC Curve

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Model Correlation Heatmap

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Precision-Recall Curve

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SHAP Summary Plot

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Confusion Matrix

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User details & Invoice

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