Web Reference: However OneHotEncoder does not support to fit_transform() of string. "ValueError: could not convert string to float" may happen during transform. You may use LabelEncoder to transfer from str to continuous numerical values. Then you are able to transfer by OneHotEncoder as you wish. The error message "ValueError: could not convert string to float" typically occurs when you're trying to fit a machine learning model, such as RandomForestClassifier, on a dataset that contains non-numeric (string) values. Machine learning models like random forests require numeric input features. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting.
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