ValueError: Columns must be same length as key

enter image description hereI’m struggling with a version mismatch issue involving Scikit-learn, and it’s proving to be quite problematic. Whenever I try to install different versions of Scikit-learn, I encounter a series of errors that seem to vary with each version I attempt. The core of the issue appears to be incompatibilities between Scikit-learn and its dependencies, such as NumPy and SciPy. These dependencies are crucial for Scikit-learn to function properly, and finding the right versions that work together has become a challenging task. Despite my efforts, I haven’t been able to identify a version of Scikit-learn that resolves the errors and integrates well with my existing setup. The process of trial and error has only led to increasing frustration, as each new version brings its own set of issues rather than solving the core problem. This version mismatch is significantly affecting my ability to use Scikit-learn effectively for my projects. The absence of clear guidance on aligning Scikit-learn with compatible versions of its dependencies is adding to my difficulties, making it hard to move forward with my work and achieve the desired outcomes.

enter image description hereI’m struggling with a version mismatch issue involving Scikit-learn, and it’s proving to be quite problematic. Whenever I try to install different versions of Scikit-learn, I encounter a series of errors that seem to vary with each version I attempt. The core of the issue appears to be incompatibilities between Scikit-learn and its dependencies, such as NumPy and SciPy. These dependencies are crucial for Scikit-learn to function properly, and finding the right versions that work together has become a challenging task. Despite my efforts, I haven’t been able to identify a version of Scikit-learn that resolves the errors and integrates well with my existing setup. The process of trial and error has only led to increasing frustration, as each new version brings its own set of issues rather than solving the core problem. This version mismatch is significantly affecting my ability to use Scikit-learn effectively for my projects. The absence of clear guidance on aligning Scikit-learn with compatible versions of its dependencies is adding to my difficulties, making it hard to move forward with my work and achieve the desired outcomes.

I’m currently working on a data analysis project where I use Z-scores to detect outliers in numerical columns of a dataset. However, I’m encountering an issue where legitimate data points are being flagged as outliers, and I’m unsure why this is happening.

I have a simple binary classification experiment I am trying to perform. Here is the code

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