 unclassified data)&#34;.format(numRecsClass, percRecsClass))
        print(&#39;\t{} records remain unclassified ({}% of unclassified data).&#39;.format(recsRemainig, 1-percRecsClass))

    return df_Interps

def split_defined(df, classification_col=&#39;CLASS_FLAG&#39;, verbose=False, log=False):
    &#34;&#34;&#34;Function to split dataframe with well descriptions into two dataframes based on whether a row has been classified.

    Parameters
    ----------
    df : pandas.DataFrame
        Dataframe con