add f1 to summary table

validation/quick_benchmark_16s.sf

@@ -48,7 +48,7 @@ rule parse_inference_results:
         f1 = ((precision ** -1 + recall ** -1) / 2) ** -1
         running_time = float(pd.read_csv(f'{out_dir}inference_benchmark.tsv', sep='\t').s)
         with open(output.summary, 'w') as fh:
-            fh.write(f'parameter_file,recall,precision,f1,running_time\n{os.path.basename(parameter_file)},{recall},{precision},{running_time}')
+            fh.write(f'parameter_file,recall,precision,f1,running_time\n{os.path.basename(parameter_file)},{recall},{precision},{f1},{running_time}')
         out_df.to_csv(output.inference_list)
 
 rule run_inference: