ValueError: Input 0 of layer "sequential_4" is incompatible with the layer: expected shape=(None, 1000, 1), found shape=(None, 6, 33660)

This error message indicates that there is a shape mismatch between the input data and the expected input shape of the model. Specifically, the model expects input data with shape (None, 1000, 1), but the actual input data has shape (None, 6, 33660).

To resolve this issue, you need to ensure that the input data is reshaped to match the expected input shape of the model. This may involve modifying the preprocessing steps or adjusting the model architecture to handle different input shapes.

Alternatively, you could try adjusting the input_shape parameter when defining the model to match the shape of the input data. For example:

model = Sequential()
model.add(Conv1D(filters=64, kernel_size=3, activation='relu', input_shape=(6, 33660)))
model.add(MaxPooling1D(pool_size=2))
model.add(Flatten())
model.add(Dense(1000, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

Here, we have adjusted the input_shape parameter to match the shape of the input data (6, 33660). This should resolve the shape mismatch error.