RandomForestClassfier.fit(): ValueError: could not convert string to float

Question

Given is a simple CSV file:

A,B,C
Hello,Hi,0
Hola,Bueno,1

Obviously the real dataset is far more complex than this, but this one reproduces

Answer 1

You can't pass str to your model fit() method. as it mentioned here

The training input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is provided to a sparse csc_matrix.

Try transforming your data to float and give a try to LabelEncoder.