def METHOD_NAME(anserini_root, collection, run_file, classifier, rm3: bool):
    res_paths = []
    for num in range(0, 11):
        alpha = str(num / 10)
        file_path = get_file_path(run_file, collection, classifier, alpha, rm3)
        cv_folder_path = os.path.join(
            run_file, f"scripts/classifier_prf/cv/{collection}")
        os.system(f"mkdir -p {cv_folder_path}")
        res_filename = get_res_file_path(
            run_file, collection, classifier, alpha, rm3)
        res_paths.append(res_filename)
        trec_eval_cmd = get_trec_eval_cmd(anserini_root)
        qrels_path = get_qrels_path(anserini_root, collection)
        cmd = f'{trec_eval_cmd} -q -m map -m P.30 {qrels_path} {file_path} > {res_filename}'
        res = os.system(cmd)
        if res == 0:
            print(file_path + ' run successfully!')
            print('save result in ' + res_filename)
    return res_paths