Training classifier Exception in Tkinter callback Traceback (most recent call last): File accept_large_sparse=False, File "E:\OCR\Automated-Attendance-System-using-CNN\benv\lib\site-packages\sklearn\base.py", line 581, in _validate_data X, y = check_X_y(X, y, **check_params) File "E:\OCR\Automated-Attendance-System-using-CNN\benv\lib\site-packages\sklearn\utils\validation.py", line 976, in check_X_y estimator=estimator, File "E:\OCR\Automated-Attendance-System-using-CNN\benv\lib\site-packages\sklearn\utils\validation.py", line 808, in check_array % (n_samples, array.shape, ensure_min_samples, context) ValueError: Found array with 0 sample(s) (shape=(0, 512)) while a minimum of 1 is required. @aashishrai3799 how to solve this issue

[sheemavijayakumari]

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