LASS_FLAG&#39;]==3][&#39;CLASS_FLAG&#39;].sum())
        percRecsClass= round((df[df[&#39;CLASS_FLAG&#39;]==3][&#39;CLASS_FLAG&#39;].sum()/df.shape[0])*100,2)
        recsRemainig = int(df.shape[0]-numRecsClass)

        print(&#39;Classified bedrock well records using depth threshold at depth of {}&#39;.format(thresh))
        print(&#34;\t{} records classified using bedrock threshold depth ({}% of unclassified  data)&#34;.format(numRecsClass, percRecsClass))
        print(&#39;\t{} records remain unclassi