I am training a sklearn classifier, and inserted in a pipeline a feature selection step. Via grid search, I would like to determine what’s the number of features that allows me to maximize performance. Still, I’d like to explore in the grid search the possibility that no feature selection, just a “passthrough” step is the optimal choice to maximize performance.

I am doing a Machine Learning project to predict the prices of electric cars on Jupyter Notebook.

I have an table and I want pass the features = “train_1, train_2, train_3, train_4” and target_result = result_cor.

ValueError: Columns must be same length as key

ValueError: Columns must be same length as key

ValueError: Columns must be same length as key

ValueError: Columns must be same length as key

ValueError: Columns must be same length as key

ValueError: Columns must be same length as key

ValueError: Columns must be same length as key