seung6lee/ahp-decision-analysis
0
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

add analysis python code & reorganize folder

Browse Source
This commit is contained in:
seung6lee
2026-08-14 15:30:16 +09:00
parent 22fcafa67b
commit 5cf517cebe
20 changed files with 496 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
analysis-code/ahp_process.py
+326
View File
@@ -0,0 +1,326 @@
import pandas as pd
import numpy as np
# ========== Settings ==========
INPUT_CSV = "raw.csv"
OUTPUT_CSV = "res.csv"
# 제외 기준
CR_THRESHOLD = 0.10
INTUITION_SD_MIN = 0.5
PAIRWISE_SAME_ALL = True
# 불일치 판정 기준
MISMATCH_THRESHOLD = 2
# 모델 점수 → 리커트 변환 경계값; 점수(0~100) → 1~5점
SCORE_BREAKS = [28, 42, 58, 72]
# 사례 카드 15개
CASES = [
{"id": 1, "안정성": 85, "수익_가능성": 82, "자금_효율성": 80, "사업_계획_완성도": 88, "사회적_가치": 84, "type": "baseline"},
{"id": 2, "안정성": 18, "수익_가능성": 22, "자금_효율성": 15, "사업_계획_완성도": 20, "사회적_가치": 25, "type": "baseline"},
{"id": 3, "안정성": 68, "수익_가능성": 72, "자금_효율성": 65, "사업_계획_완성도": 70, "사회적_가치": 66, "type": "baseline"},
{"id": 4, "안정성": 35, "수익_가능성": 38, "자금_효율성": 42, "사업_계획_완성도": 30, "사회적_가치": 35, "type": "baseline"},
{"id": 5, "안정성": 5, "수익_가능성": 68, "자금_효율성": 72, "사업_계획_완성도": 70, "사회적_가치": 65, "type": "spike"},
{"id": 6, "안정성": 70, "수익_가능성": 97, "자금_효율성": 68, "사업_계획_완성도": 65, "사회적_가치": 72, "type": "spike"},
{"id": 7, "안정성": 65, "수익_가능성": 70, "자금_효율성": 4, "사업_계획_완성도": 68, "사회적_가치": 72, "type": "spike"},
{"id": 8, "안정성": 68, "수익_가능성": 65, "자금_효율성": 70, "사업_계획_완성도": 96, "사회적_가치": 66, "type": "spike"},
{"id": 9, "안정성": 72, "수익_가능성": 68, "자금_효율성": 65, "사업_계획_완성도": 70, "사회적_가치": 6, "type": "spike"},
{"id": 10, "안정성": 95, "수익_가능성": 95, "자금_효율성": 15, "사업_계획_완성도": 20, "사회적_가치": 25, "type": "conflict"},
{"id": 11, "안정성": 20, "수익_가능성": 18, "자금_효율성": 22, "사업_계획_완성도": 25, "사회적_가치": 95, "type": "conflict"},
{"id": 12, "안정성": 88, "수익_가능성": 85, "자금_효율성": 90, "사업_계획_완성도": 92, "사회적_가치": 12, "type": "conflict"},
{"id": 13, "안정성": 15, "수익_가능성": 92, "자금_효율성": 18, "사업_계획_완성도": 20, "사회적_가치": 88, "type": "conflict"},
{"id": 14, "안정성": 90, "수익_가능성": 22, "자금_효율성": 88, "사업_계획_완성도": 85, "사회적_가치": 82, "type": "conflict"},
{"id": 15, "안정성": 48, "수익_가능성": 52, "자금_효율성": 50, "사업_계획_완성도": 47, "사회적_가치": 53, "type": "conflict"},
]
VARS = ["안정성", "수익_가능성", "자금_효율성", "사업_계획_완성도", "사회적_가치"]
PAIR_IDX = [(0,1),(0,2),(0,3),(0,4),(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)]
RI = {1:0.00, 2:0.00, 3:0.58, 4:0.90, 5:1.12, 6:1.24, 7:1.32, 8:1.41}
# ══════════ AHP 계산 함수 ══════════
def build_matrix(pair_values: list) -> np.ndarray:
"""쌍대비교 10개 값 → 5×5 비율 행렬"""
A = np.ones((5, 5))
for k, (i, j) in enumerate(PAIR_IDX):
v = pair_values[k]
if v < 0: # Left more important
a_ij = float(abs(v) + 1)
elif v > 0: # Right more important
a_ij = 1.0 / (float(v) + 1)
else: # Same
a_ij = 1.0
A[i][j] = a_ij
A[j][i] = 1.0 / a_ij
return A
# 근사
def power_method(A: np.ndarray, max_iter: int = 1000, tol: float = 1e-9) -> np.ndarray:
n = len(A)
v = np.ones(n) / n
for _ in range(max_iter):
Av = A @ v
s = Av.sum()
if s == 0:
break
v_new = Av / s
if np.max(np.abs(v_new - v)) < tol:
v = v_new
break
v = v_new
return v
# CR, CI, λmax 계산
def calc_cr(A: np.ndarray, w: np.ndarray) -> tuple:
n = len(A)
Aw = A @ w
ratios = np.where(w > 1e-10, Aw / w, 0.0)
lam_max = float(ratios.mean())
CI = (lam_max - n) / (n - 1)
ri = RI.get(n, 1.12)
CR = CI / ri if ri > 0 else 0.0
return float(CR), float(CI), float(lam_max)
# Calculate AHP of single person
def ahp_single(pair_values: list) -> dict:
try:
A = build_matrix(pair_values)
w = power_method(A)
CR, CI, lam = calc_cr(A, w)
return {"weights": w.tolist(), "CR": CR, "CI": CI,
"lambda_max": lam, "error": None}
except Exception as e:
return {"weights": [np.nan]*5, "CR": np.nan,
"CI": np.nan, "lambda_max": np.nan, "error": str(e)}
# ========== Score / Difference calculate ==========
# Score = sum of 변인값 * 가중치
def model_score(case: dict, weights: list) -> float:
vals = np.array([case[v] for v in VARS])
return float(np.dot(vals, weights))
# 0~100 -> 1~5 Score
def score_to_liker(score: float) -> int:
if score >= SCORE_BREAKS[3]: return 5
elif score >= SCORE_BREAKS[2]: return 4
elif score >= SCORE_BREAKS[1]: return 3
elif score >= SCORE_BREAKS[0]: return 2
else: return 1
# ========== Preprocessing ==========
def check_exclusion(row: pd.Series,
pair_cols: list,
intuit_cols: list,
cr: float) -> str:
# CR
if not np.isnan(cr) and cr > CR_THRESHOLD:
return "제거_CR초과"
# Standard deviation
intuit_vals = row[intuit_cols].values.astype(float)
if not np.any(np.isnan(intuit_vals)):
if np.std(intuit_vals) < INTUITION_SD_MIN:
return "제거_직관무성의"
# All same
if PAIRWISE_SAME_ALL:
pair_vals = row[pair_cols].values.astype(float)
if not np.any(np.isnan(pair_vals)):
if np.std(pair_vals) == 0:
return "제거_쌍대무성의"
return "유효"
# ========== Main Code ==========
def main():
# ── 1. 데이터 로드 ────────────────────────────────────────
print(f"파일 읽는 중: {INPUT_CSV}")
df = pd.read_csv(INPUT_CSV, encoding="utf-8-sig")
print(f" 총 {len(df)}명 로드")
# 열 자동 탐지
pair_cols = sorted([c for c in df.columns if c.startswith("AHP_")])
# 직관판단 열: 다양한 형식 자동 탐지
# 형식 A: "직관판단_Q01" / 형식 B: "직관_사례01" / 형식 C: "직관_Q01"
intuit_cols = sorted([c for c in df.columns
if c.startswith("직관판단_Q")
or c.startswith("직관_사례")
or c.startswith("직관_Q")])
if len(pair_cols) != 10:
raise ValueError(f"쌍대비교 열이 10개여야 함 (현재 {len(pair_cols)}개). "
f"열 이름이 'AHP_01_...' 형식인지 확인.")
if len(intuit_cols) != 15:
raise ValueError(f"직관판단 열이 15개여야 함 (현재 {len(intuit_cols)}개). "
f"열 이름이 '직관판단_Q01' / '직관_사례01' / '직관_Q01' 중 하나여야 함.")
print(f" 쌍대비교 열: {pair_cols[0]} ~ {pair_cols[-1]}")
print(f" 직관판단 열: {intuit_cols[0]} ~ {intuit_cols[-1]}")
# ── 2. AHP 계산 (전원) ────────────────────────────────────
print("\nAHP 계산 중...")
ahp_results = []
for _, row in df.iterrows():
pv = [int(row[c]) if pd.notna(row[c]) else 0 for c in pair_cols]
res = ahp_single(pv)
ahp_results.append(res)
# ── 3. 전처리 판정 ────────────────────────────────────────
exclusion_flags = []
for idx, (_, row) in enumerate(df.iterrows()):
cr = ahp_results[idx]["CR"]
flag = check_exclusion(row, pair_cols, intuit_cols, cr)
exclusion_flags.append(flag)
df["전처리결과"] = exclusion_flags
print("\n[ 전처리 결과 ]")
for k, v in df["전처리결과"].value_counts().items():
print(f" {k}: {v}명")
# ── 4. 유효 응답자만 추출 ─────────────────────────────────
valid_mask = df["전처리결과"] == "유효"
df_valid = df[valid_mask].copy()
print(f"\n → 최종 분석 대상: {len(df_valid)}명")
# ── 5. 결과 컬럼 초기화 ──────────────────────────────────
result_rows = []
for idx in df_valid.index:
row = df.loc[idx]
ahp_res = ahp_results[list(df.index).index(idx)]
weights = ahp_res["weights"]
result = {"피실험자ID": row.get("피실험자ID", idx + 1)}
# 가중치
for i, v in enumerate(VARS):
result[f"가중치_{v}"] = round(weights[i], 4)
result["CR"] = round(ahp_res["CR"], 4)
result["CI"] = round(ahp_res["CI"], 4)
result["lambda_max"] = round(ahp_res["lambda_max"], 4)
# ── 6. 사례별 모델 점수 / 판단 / 불일치 ──────────────
mis_total = 0
mis_baseline = 0
mis_spike = 0
mis_conflict = 0
n_baseline = 0
n_spike = 0
n_conflict = 0
for k_case, case in enumerate(CASES):
cid = case["id"]
# 직관 판단 — intuit_cols 정렬 순서로 접근
intuit_col = intuit_cols[k_case]
i_liker = int(row[intuit_col]) if pd.notna(row[intuit_col]) else np.nan
# 모델 점수 & 판단
m_score = model_score(case, weights)
m_liker = score_to_liker(m_score)
# 불일치 판정
if not np.isnan(i_liker):
diff = abs(int(i_liker) - m_liker)
mismatch = int(diff >= MISMATCH_THRESHOLD)
else:
mismatch = np.nan
result[f"직관_Q{cid:02d}"] = i_liker
result[f"모델점수_Q{cid:02d}"] = round(m_score, 1)
result[f"모델판단_Q{cid:02d}"] = m_liker
result[f"판단차이_Q{cid:02d}"] = (int(i_liker) - m_liker) if not np.isnan(i_liker) else np.nan
result[f"불일치_Q{cid:02d}"] = mismatch
if not np.isnan(mismatch):
mis_total += mismatch
ctype = case["type"]
if ctype == "baseline":
mis_baseline += mismatch; n_baseline += 1
elif ctype == "spike":
mis_spike += mismatch; n_spike += 1
else:
mis_conflict += mismatch; n_conflict += 1
# ── 7. 불일치율 ───────────────────────────────────────
result["불일치_합계"] = mis_total
result["불일치율_전체(%)"] = round(mis_total / 15 * 100, 1)
result["불일치율_베이스라인(%)"] = round(mis_baseline / n_baseline * 100, 1) if n_baseline else np.nan
result["불일치율_단일극값(%)"] = round(mis_spike / n_spike * 100, 1) if n_spike else np.nan
result["불일치율_변인충돌(%)"] = round(mis_conflict / n_conflict * 100, 1) if n_conflict else np.nan
# 사후 설문 (있을 경우 포함)
for q in ["사후Q1_모델과직관차이", "사후Q2_모델기준이해", "사후Q3_모델합리성"]:
if q in row.index:
result[q] = row[q]
result_rows.append(result)
df_out = pd.DataFrame(result_rows)
# ── 8. 저장 ──────────────────────────────────────────────
df_out.to_csv(OUTPUT_CSV, index=False, encoding="utf-8-sig")
# ── 9. 요약 출력 ─────────────────────────────────────────
print("\n" + "=" * 60)
print("계산 완료 요약")
print("=" * 60)
print(f"\n[ 표본 ]")
print(f" 전체 입력: {len(df)}명")
for k, v in df["전처리결과"].value_counts().items():
print(f" {k}: {v}명")
print(f" 최종 분석: {len(df_out)}명")
print(f"\n[ AHP 가중치 평균 ]")
for v in VARS:
m = df_out[f"가중치_{v}"].mean()
print(f" {v}: {m:.4f} ({m*100:.1f}%)")
print(f"\n[ CR 분포 ]")
cr_vals = df_out["CR"].dropna()
print(f" 평균: {cr_vals.mean():.4f} 최소: {cr_vals.min():.4f} 최대: {cr_vals.max():.4f}")
print(f"\n[ 불일치율 평균 ]")
for col in ["불일치율_전체(%)", "불일치율_베이스라인(%)",
"불일치율_단일극값(%)", "불일치율_변인충돌(%)"]:
m = df_out[col].mean()
s = df_out[col].std()
print(f" {col}: M={m:.1f}% SD={s:.1f}%")
print(f"\n[ 사례별 불일치율 ]")
type_label = {"baseline": "베이스라인", "spike": "단일극값", "conflict": "변인충돌"}
for case in CASES:
cid = case["id"]
col = f"불일치_Q{cid:02d}"
mis = df_out[col].mean() * 100
i_m = df_out[f"직관_Q{cid:02d}"].mean()
m_m = df_out[f"모델판단_Q{cid:02d}"].mean()
tl = type_label[case["type"]]
print(f" 사례{cid:02d}({tl}): 불일치={mis:4.0f}% 직관={i_m:.2f} 모델={m_m:.2f}")
print(f"\n저장 완료: {OUTPUT_CSV}")
print(f" {len(df_out)}명 × {len(df_out.columns)}열")
return df_out
if __name__ == "__main__":
df_result = main()
analysis-code/raw.csv
+113
View File
@@ -0,0 +1,113 @@
피실험자ID,AHP_01_안정성_vs_수익_가능성,AHP_02_안정성_vs_자금_효율성,AHP_03_안정성_vs_사업_계획_완성도,AHP_04_안정성_vs_사회적_가치,AHP_05_수익_가능성_vs_자금_효율성,AHP_06_수익_가능성_vs_사업_계획_완성도,AHP_07_수익_가능성_vs_사회적_가치,AHP_08_자금_효율성_vs_사업_계획_완성도,AHP_09_자금_효율성_vs_사회적_가치,AHP_10_사업_계획_완성도_vs_사회적_가치,직관판단_Q01,직관판단_Q02,직관판단_Q03,직관판단_Q04,직관판단_Q05,직관판단_Q06,직관판단_Q07,직관판단_Q08,직관판단_Q09,직관판단_Q10,직관판단_Q11,직관판단_Q12,직관판단_Q13,직관판단_Q14,직관판단_Q15,사후Q1_모델과직관차이,사후Q2_모델기준이해,사후Q3_모델합리성,응답유형
1,0,-2,0,-4,-2,1,-4,1,-4,-4,5,1,4,1,3,5,3,4,2,5,3,5,3,4,3,1,4,5,정상
2,4,0,1,-2,-4,-4,-4,1,-3,-1,5,3,3,3,3,5,3,5,3,5,2,5,5,4,2,2,4,4,정상
3,2,0,-2,-4,-1,-3,-4,0,-1,-3,5,1,4,2,1,5,4,5,3,5,4,3,3,5,3,2,3,3,정상
4,4,0,2,0,-4,-4,-4,0,1,-3,5,1,5,2,4,5,4,5,3,5,3,5,5,4,4,1,3,2,정상
5,3,-4,4,-2,-4,-2,-4,4,3,-4,5,1,4,2,3,5,4,5,3,5,3,5,4,5,2,1,2,3,정상
6,2,0,3,1,-4,0,-4,4,1,-2,5,1,4,2,3,5,3,4,3,5,3,5,5,5,5,2,4,2,정상
7,-2,-4,2,-2,-4,0,-1,4,4,-4,5,1,5,2,1,5,3,5,2,4,3,5,4,5,2,1,5,2,정상
8,4,-2,3,-4,-4,-1,-4,4,0,-4,5,1,5,2,3,5,4,4,3,5,3,5,4,5,3,2,3,4,정상
9,4,-4,0,-3,-4,-4,-4,4,4,-4,5,2,4,2,2,5,4,5,4,5,3,5,5,4,3,1,4,2,정상
10,4,1,4,1,-3,-1,-1,0,3,-2,5,2,4,3,2,5,4,5,1,5,5,5,5,5,3,2,4,3,정상
11,4,-4,4,-4,-4,-3,-4,4,0,-4,5,1,5,1,2,5,3,5,4,5,3,5,4,5,3,3,4,3,정상
12,-3,-4,0,-4,-4,0,-1,4,4,-4,5,2,4,2,3,5,5,5,3,5,4,4,3,5,3,2,5,4,정상
13,3,-4,4,1,-4,-1,0,4,4,2,5,2,5,3,1,5,4,5,1,5,4,4,4,5,4,1,5,3,정상
14,0,-4,2,-4,-3,1,-4,4,0,-4,5,1,5,2,2,5,3,5,2,5,3,5,4,5,4,2,5,3,정상
15,4,0,1,-3,-4,0,-4,4,0,-4,5,1,4,2,3,5,3,5,3,5,4,5,5,5,3,1,5,3,정상
16,4,-1,0,2,-3,-2,-3,0,1,2,5,1,4,3,3,5,3,5,3,5,4,3,5,5,4,1,5,4,정상
17,4,4,4,3,-4,-1,-4,4,1,-4,5,2,5,2,3,5,3,5,3,5,4,5,5,3,2,2,4,3,정상
18,0,-3,2,-2,4,3,-4,4,-4,-4,5,2,4,2,3,5,2,5,3,4,3,5,3,5,3,1,2,2,정상
19,4,0,1,-4,-4,-1,-4,0,-4,-4,5,2,5,1,3,5,3,5,3,5,4,5,3,3,2,2,4,4,정상
20,4,-1,0,-4,1,-4,0,0,-4,1,5,2,4,2,4,5,2,4,2,5,4,5,5,5,4,2,1,2,정상
21,1,-4,0,-4,-4,-2,-4,3,2,-3,5,1,3,1,1,5,3,5,3,4,4,5,4,5,3,2,5,2,정상
22,4,0,4,3,-4,1,-2,4,2,-2,5,1,5,1,3,5,3,5,2,4,4,4,2,5,2,2,4,3,정상
23,1,-4,-1,-4,-4,2,-4,4,2,-4,5,1,4,2,2,5,3,5,2,5,2,4,4,5,2,2,3,3,정상
24,0,-4,-4,0,-4,-4,-1,4,4,3,5,1,4,2,3,5,3,5,3,5,4,5,4,5,3,1,3,4,정상
25,3,-3,2,-4,-2,0,-3,4,0,-4,5,2,5,2,2,5,3,5,2,5,2,5,4,5,3,2,3,3,정상
26,0,0,-4,-4,-1,1,-4,0,-4,-2,5,1,5,2,2,5,2,5,2,5,3,4,5,4,4,2,3,2,정상
27,0,-4,1,-2,-1,0,-4,2,-1,-1,5,1,4,2,3,5,2,5,2,5,2,5,4,5,2,2,3,4,정상
28,-4,-4,0,-2,-4,3,1,4,4,-2,4,1,4,2,2,5,2,5,1,5,2,5,2,5,2,2,5,1,정상
29,-2,-4,0,0,0,0,4,3,3,0,5,2,4,2,4,5,4,5,2,5,4,5,3,5,2,1,3,3,정상
30,2,-1,4,-1,-4,-2,-4,3,-4,-4,5,1,4,2,3,5,3,5,3,3,3,5,5,5,3,1,4,3,정상
31,1,-2,1,3,0,1,0,1,2,1,5,1,4,2,2,5,3,5,4,4,4,4,5,5,2,2,4,4,정상
32,0,-4,2,4,-4,0,4,4,4,3,5,1,5,2,3,5,4,5,2,3,5,4,5,5,4,1,3,4,정상
33,4,4,4,1,-3,-4,-4,0,-4,-1,4,2,5,2,3,4,2,5,3,5,4,3,5,4,4,2,5,3,정상
34,0,0,4,4,2,4,0,2,0,-4,5,2,4,2,4,5,3,5,3,4,5,5,4,5,2,2,4,2,정상
35,4,1,0,-2,-4,-4,-4,-2,-2,-4,5,1,4,3,2,5,3,5,2,5,2,5,5,4,3,1,5,3,정상
36,1,-4,-1,-4,-4,0,-4,4,4,0,5,1,4,2,1,5,4,5,2,5,3,2,5,5,1,1,2,3,정상
37,2,1,1,-4,-1,0,-4,0,-1,-2,5,1,3,3,2,5,4,5,2,4,2,5,4,4,3,2,5,3,정상
38,4,-2,1,1,-4,-3,-1,0,0,4,5,1,4,2,3,5,4,5,2,5,5,4,5,3,3,1,3,3,정상
39,-4,-4,0,-1,-4,4,1,4,2,-4,5,1,4,2,1,5,5,5,3,4,4,4,2,5,2,3,4,3,정상
40,2,-4,0,-2,-4,-4,-4,2,2,0,5,1,3,2,2,5,4,5,3,5,3,5,5,3,3,1,5,3,정상
41,4,-4,0,1,-4,1,-4,4,2,0,5,1,4,2,3,5,4,5,1,5,4,5,5,5,4,2,2,4,정상
42,4,-4,-1,-1,-4,-1,-3,1,1,0,5,2,5,2,1,5,2,5,3,5,3,4,4,5,4,2,5,3,정상
43,4,-4,1,-4,-4,-1,-4,4,-4,-4,5,2,5,2,4,5,4,5,1,5,3,4,3,5,2,2,4,3,정상
44,4,-2,1,-1,-4,-1,-4,4,1,-1,5,1,4,2,3,5,3,5,4,5,2,4,2,5,3,1,5,3,정상
45,1,-2,2,4,-4,1,4,4,4,-2,5,1,5,3,2,5,5,5,1,3,4,5,5,5,3,2,5,2,정상
46,1,-1,-4,-3,-2,-1,-1,0,-1,0,5,2,5,3,2,5,2,4,2,4,4,3,5,4,2,2,3,4,정상
47,4,0,0,1,-4,-4,-3,-4,0,2,5,1,4,2,4,5,3,5,1,5,5,5,5,5,3,1,5,3,정상
48,1,-4,-1,1,-4,0,-2,3,4,0,5,1,5,1,3,5,3,4,4,5,2,5,4,4,3,1,4,4,정상
49,3,-2,-2,4,-4,0,3,4,4,4,5,2,5,2,3,5,4,5,1,4,3,5,5,5,5,1,2,4,정상
50,0,-4,1,0,-4,-4,-4,2,4,1,5,1,4,2,3,5,4,5,4,5,3,3,5,5,3,1,3,3,정상
51,3,-3,-2,4,-4,-3,0,4,4,3,5,1,4,1,3,5,3,5,2,4,3,5,5,5,4,1,3,4,정상
52,-4,-4,0,-4,-4,2,-4,4,0,-4,5,1,4,2,2,5,3,5,4,5,2,5,3,5,2,1,3,4,정상
53,2,-4,-4,-1,-4,-1,-3,4,4,3,5,2,4,2,2,5,4,5,2,5,4,5,5,4,4,1,2,4,정상
54,1,-4,4,0,-4,-3,3,4,4,0,5,1,4,2,3,5,2,5,1,5,4,5,5,5,3,3,3,3,정상
55,3,-3,-1,-4,-4,-4,-4,4,-4,-4,5,1,4,2,2,5,3,5,3,5,3,5,5,4,1,3,5,3,정상
56,2,0,-1,-3,-2,-2,-3,1,0,0,5,2,4,1,2,5,1,5,1,5,4,5,5,5,3,3,5,2,정상
57,0,-4,-4,-1,-4,-1,1,4,4,3,4,1,4,1,2,5,4,5,2,5,4,4,4,5,3,2,5,1,정상
58,4,-2,1,1,-4,-4,-4,1,4,2,5,1,5,2,4,5,4,5,3,5,4,5,5,5,3,2,5,4,정상
59,4,1,-1,-3,-4,-4,-4,-1,-2,-1,5,1,5,1,3,5,2,4,3,5,3,5,4,3,3,1,2,3,정상
60,3,-4,2,-4,-4,-2,-4,4,-1,-4,5,2,4,1,3,5,4,5,3,5,3,4,5,5,3,2,4,3,정상
61,-4,-4,-4,-4,-4,-2,-4,4,0,-4,5,1,5,2,1,5,3,5,3,5,2,4,3,5,3,1,3,4,정상
62,4,-2,4,3,-4,0,-4,4,4,-4,5,1,5,1,2,5,3,5,3,5,2,5,4,5,3,1,4,3,정상
63,4,-2,0,2,-4,-1,-3,4,4,0,5,1,5,2,2,5,3,5,1,5,4,5,5,4,3,1,4,3,정상
64,0,-4,-2,-3,-4,-2,-2,4,4,0,5,1,4,2,1,5,3,5,2,5,4,5,3,5,2,1,4,2,정상
65,1,-4,1,-4,-4,-2,-4,4,-1,-4,5,2,5,1,2,5,3,5,3,4,2,5,4,5,3,1,4,3,정상
66,2,-3,2,-2,-4,-1,-4,1,0,-4,5,1,4,2,2,5,4,5,3,5,2,5,5,5,2,1,3,4,정상
67,3,-2,0,-3,-3,-4,-4,-1,0,0,5,1,4,2,3,5,3,5,3,5,4,5,5,5,2,1,4,2,정상
68,0,-4,-4,-4,-3,-1,-4,1,-1,-1,5,1,4,2,2,5,2,5,3,5,3,5,5,4,2,2,5,4,정상
69,4,-4,-1,-4,-4,-4,-4,3,3,-4,5,2,5,1,2,5,3,5,4,5,2,5,5,4,2,1,2,2,정상
70,4,-4,-1,3,-4,-4,-4,4,4,-1,5,1,4,2,3,5,3,4,2,5,2,3,4,5,3,2,4,2,정상
71,0,-3,0,0,0,2,1,4,4,2,5,2,4,3,2,5,4,5,2,5,5,5,5,5,3,2,3,2,정상
72,0,-4,1,-2,-2,0,-3,4,0,-2,5,2,5,2,2,5,3,5,2,5,2,5,3,4,3,1,5,3,정상
73,4,-1,4,0,-4,-3,-4,3,2,0,5,1,4,3,3,5,4,5,3,5,3,5,5,5,2,1,3,4,정상
74,3,-3,-1,-2,-4,-4,-4,1,-2,-2,5,1,4,2,3,5,4,3,3,5,1,5,5,5,2,2,4,5,정상
75,4,-3,4,4,-4,-2,-4,4,4,1,5,1,3,2,3,5,4,5,3,5,2,2,5,3,2,2,4,2,정상
76,2,-2,1,0,2,1,1,3,0,-1,5,1,4,2,3,5,3,5,3,4,3,5,4,5,2,1,3,4,정상
77,0,-1,0,3,-4,3,-3,4,4,2,5,1,3,2,2,5,4,5,2,5,3,2,5,4,2,2,1,3,정상
78,0,-4,-2,-4,-4,-2,-2,4,1,-1,5,1,4,2,1,5,3,5,2,5,2,5,2,3,2,2,3,3,정상
79,4,-4,1,0,-4,-4,-2,4,4,-1,5,2,5,2,2,5,4,5,3,4,4,5,5,5,2,2,4,2,정상
80,4,4,4,3,-4,-4,-4,4,2,-4,5,1,5,2,3,5,5,5,2,5,2,5,5,3,3,1,1,2,정상
81,2,-4,-2,-4,-4,-4,-4,4,4,-2,5,1,4,2,3,5,4,5,1,5,2,3,5,3,4,1,4,4,정상
82,0,3,1,4,-4,0,-3,4,0,0,5,1,4,3,1,5,5,5,4,5,3,3,5,5,4,2,2,2,정상
83,0,-4,0,-4,-4,2,-3,4,4,-3,5,2,5,2,1,5,3,5,3,5,4,5,3,5,4,2,4,3,정상
84,3,0,4,-3,-4,-2,-4,1,1,-2,5,1,5,2,3,5,4,4,2,5,3,4,4,5,3,2,5,2,정상
85,-1,-4,0,-4,-4,0,-4,4,1,-4,5,1,5,2,3,5,4,5,3,5,2,5,5,5,4,2,4,3,정상
86,-1,-1,0,0,4,-2,4,0,4,2,5,1,4,2,4,5,4,5,3,5,3,3,4,5,3,1,3,3,정상
87,4,2,4,4,-4,-4,1,4,4,-3,5,1,5,2,4,5,5,5,2,5,3,3,4,4,3,1,1,2,정상
88,0,-4,1,-3,-1,-1,-4,0,0,0,5,1,4,1,3,5,3,5,3,5,4,5,4,5,4,2,4,3,정상
89,0,0,0,4,-1,-1,2,-1,1,0,5,1,4,2,2,5,3,5,2,4,5,2,5,5,4,1,4,4,정상
90,4,1,4,4,-4,-1,-4,4,4,-4,5,1,5,2,4,5,4,5,2,5,4,5,5,5,3,2,5,3,정상
91,0,-4,0,-4,-4,-4,-4,4,4,0,5,1,4,2,3,5,3,5,3,5,4,4,5,5,3,1,4,4,정상
92,-2,-1,0,-1,-2,0,-4,4,-3,-4,5,2,4,2,3,5,4,5,4,4,3,5,4,5,3,2,4,4,정상
93,4,4,4,4,-2,-3,0,1,0,0,5,1,4,2,3,5,3,4,3,4,5,5,5,5,4,1,5,5,정상
94,0,-4,-4,0,-4,-3,2,4,4,1,4,1,4,2,3,5,2,5,2,5,4,3,5,5,4,2,2,4,정상
95,4,-3,-1,-3,-4,-1,0,4,0,-4,5,1,5,3,2,5,3,5,2,5,3,5,5,5,3,1,2,2,정상
96,0,-4,-2,-1,-4,-2,-1,4,4,0,4,1,3,2,3,5,4,5,2,5,3,5,5,5,3,1,4,3,정상
97,4,-4,2,4,-4,-1,2,4,4,4,5,2,4,2,2,5,4,4,2,5,4,5,5,5,4,2,3,4,정상
98,2,-2,-2,-4,-2,-3,-4,-1,-2,0,5,1,4,1,1,5,1,5,2,4,3,5,5,5,3,2,4,3,정상
99,1,2,4,-3,1,2,-4,1,-4,-4,4,2,4,3,3,5,4,5,3,4,3,5,4,5,2,2,5,5,정상
100,3,-1,3,-4,-4,-2,-3,3,-4,-4,5,1,5,2,3,5,2,5,4,5,2,5,3,5,3,1,3,3,정상
101,-4,-3,-1,-4,0,3,1,0,2,-1,5,1,4,1,3,5,2,5,3,5,2,5,4,5,3,1,4,2,정상
102,-4,-4,-1,-4,-4,0,-2,4,4,-3,5,2,4,1,2,4,4,5,2,5,2,5,3,5,3,2,4,3,정상
103,2,0,4,2,0,4,0,4,4,-1,5,2,4,2,3,5,3,5,3,4,5,5,4,5,2,2,4,3,정상
104,4,2,4,-4,-3,-4,-4,1,-4,-4,5,1,5,2,3,5,1,5,4,4,3,5,3,5,3,1,3,3,정상
105,1,0,0,-4,-4,-4,-4,-2,-4,-4,5,1,4,2,3,5,3,5,3,5,3,5,4,5,3,2,4,2,정상
106,0,0,0,0,0,0,0,0,0,0,2,5,4,3,4,3,1,3,3,1,4,2,1,2,5,4,4,3,이상_쌍대동일(0)
107,4,4,4,4,4,4,4,4,4,4,2,1,5,3,5,5,2,2,2,5,4,1,1,1,5,3,3,1,이상_쌍대동일(4)
108,-4,-4,-4,-4,-4,-4,-4,-4,-4,-4,3,4,4,5,2,5,4,3,4,5,2,2,1,4,4,5,1,1,이상_쌍대동일(-4)
109,-2,-4,-1,-4,-4,2,-4,4,0,-4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2,3,1,이상_직관전부5점
110,-1,-4,0,-2,-4,-2,-3,4,3,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,3,1,이상_직관전부1점
111,-2,4,4,3,-2,4,-1,-4,3,-3,3,5,3,5,5,4,4,4,1,3,1,2,5,3,4,1,5,2,이상_완전무작위
112,0,-4,-4,4,-2,-3,4,3,-2,-2,3,1,1,5,5,1,2,2,2,2,3,5,3,4,5,1,3,3,이상_완전무작위
1 피실험자ID AHP_01_안정성_vs_수익_가능성 AHP_02_안정성_vs_자금_효율성 AHP_03_안정성_vs_사업_계획_완성도 AHP_04_안정성_vs_사회적_가치 AHP_05_수익_가능성_vs_자금_효율성 AHP_06_수익_가능성_vs_사업_계획_완성도 AHP_07_수익_가능성_vs_사회적_가치 AHP_08_자금_효율성_vs_사업_계획_완성도 AHP_09_자금_효율성_vs_사회적_가치 AHP_10_사업_계획_완성도_vs_사회적_가치 직관판단_Q01 직관판단_Q02 직관판단_Q03 직관판단_Q04 직관판단_Q05 직관판단_Q06 직관판단_Q07 직관판단_Q08 직관판단_Q09 직관판단_Q10 직관판단_Q11 직관판단_Q12 직관판단_Q13 직관판단_Q14 직관판단_Q15 사후Q1_모델과직관차이 사후Q2_모델기준이해 사후Q3_모델합리성 응답유형
2 1 0 -2 0 -4 -2 1 -4 1 -4 -4 5 1 4 1 3 5 3 4 2 5 3 5 3 4 3 1 4 5 정상
3 2 4 0 1 -2 -4 -4 -4 1 -3 -1 5 3 3 3 3 5 3 5 3 5 2 5 5 4 2 2 4 4 정상
4 3 2 0 -2 -4 -1 -3 -4 0 -1 -3 5 1 4 2 1 5 4 5 3 5 4 3 3 5 3 2 3 3 정상
5 4 4 0 2 0 -4 -4 -4 0 1 -3 5 1 5 2 4 5 4 5 3 5 3 5 5 4 4 1 3 2 정상
6 5 3 -4 4 -2 -4 -2 -4 4 3 -4 5 1 4 2 3 5 4 5 3 5 3 5 4 5 2 1 2 3 정상
7 6 2 0 3 1 -4 0 -4 4 1 -2 5 1 4 2 3 5 3 4 3 5 3 5 5 5 5 2 4 2 정상
8 7 -2 -4 2 -2 -4 0 -1 4 4 -4 5 1 5 2 1 5 3 5 2 4 3 5 4 5 2 1 5 2 정상
9 8 4 -2 3 -4 -4 -1 -4 4 0 -4 5 1 5 2 3 5 4 4 3 5 3 5 4 5 3 2 3 4 정상
10 9 4 -4 0 -3 -4 -4 -4 4 4 -4 5 2 4 2 2 5 4 5 4 5 3 5 5 4 3 1 4 2 정상
11 10 4 1 4 1 -3 -1 -1 0 3 -2 5 2 4 3 2 5 4 5 1 5 5 5 5 5 3 2 4 3 정상
12 11 4 -4 4 -4 -4 -3 -4 4 0 -4 5 1 5 1 2 5 3 5 4 5 3 5 4 5 3 3 4 3 정상
13 12 -3 -4 0 -4 -4 0 -1 4 4 -4 5 2 4 2 3 5 5 5 3 5 4 4 3 5 3 2 5 4 정상
14 13 3 -4 4 1 -4 -1 0 4 4 2 5 2 5 3 1 5 4 5 1 5 4 4 4 5 4 1 5 3 정상
15 14 0 -4 2 -4 -3 1 -4 4 0 -4 5 1 5 2 2 5 3 5 2 5 3 5 4 5 4 2 5 3 정상
16 15 4 0 1 -3 -4 0 -4 4 0 -4 5 1 4 2 3 5 3 5 3 5 4 5 5 5 3 1 5 3 정상
17 16 4 -1 0 2 -3 -2 -3 0 1 2 5 1 4 3 3 5 3 5 3 5 4 3 5 5 4 1 5 4 정상
18 17 4 4 4 3 -4 -1 -4 4 1 -4 5 2 5 2 3 5 3 5 3 5 4 5 5 3 2 2 4 3 정상
19 18 0 -3 2 -2 4 3 -4 4 -4 -4 5 2 4 2 3 5 2 5 3 4 3 5 3 5 3 1 2 2 정상
20 19 4 0 1 -4 -4 -1 -4 0 -4 -4 5 2 5 1 3 5 3 5 3 5 4 5 3 3 2 2 4 4 정상
21 20 4 -1 0 -4 1 -4 0 0 -4 1 5 2 4 2 4 5 2 4 2 5 4 5 5 5 4 2 1 2 정상
22 21 1 -4 0 -4 -4 -2 -4 3 2 -3 5 1 3 1 1 5 3 5 3 4 4 5 4 5 3 2 5 2 정상
23 22 4 0 4 3 -4 1 -2 4 2 -2 5 1 5 1 3 5 3 5 2 4 4 4 2 5 2 2 4 3 정상
24 23 1 -4 -1 -4 -4 2 -4 4 2 -4 5 1 4 2 2 5 3 5 2 5 2 4 4 5 2 2 3 3 정상
25 24 0 -4 -4 0 -4 -4 -1 4 4 3 5 1 4 2 3 5 3 5 3 5 4 5 4 5 3 1 3 4 정상
26 25 3 -3 2 -4 -2 0 -3 4 0 -4 5 2 5 2 2 5 3 5 2 5 2 5 4 5 3 2 3 3 정상
27 26 0 0 -4 -4 -1 1 -4 0 -4 -2 5 1 5 2 2 5 2 5 2 5 3 4 5 4 4 2 3 2 정상
28 27 0 -4 1 -2 -1 0 -4 2 -1 -1 5 1 4 2 3 5 2 5 2 5 2 5 4 5 2 2 3 4 정상
29 28 -4 -4 0 -2 -4 3 1 4 4 -2 4 1 4 2 2 5 2 5 1 5 2 5 2 5 2 2 5 1 정상
30 29 -2 -4 0 0 0 0 4 3 3 0 5 2 4 2 4 5 4 5 2 5 4 5 3 5 2 1 3 3 정상
31 30 2 -1 4 -1 -4 -2 -4 3 -4 -4 5 1 4 2 3 5 3 5 3 3 3 5 5 5 3 1 4 3 정상
32 31 1 -2 1 3 0 1 0 1 2 1 5 1 4 2 2 5 3 5 4 4 4 4 5 5 2 2 4 4 정상
33 32 0 -4 2 4 -4 0 4 4 4 3 5 1 5 2 3 5 4 5 2 3 5 4 5 5 4 1 3 4 정상
34 33 4 4 4 1 -3 -4 -4 0 -4 -1 4 2 5 2 3 4 2 5 3 5 4 3 5 4 4 2 5 3 정상
35 34 0 0 4 4 2 4 0 2 0 -4 5 2 4 2 4 5 3 5 3 4 5 5 4 5 2 2 4 2 정상
36 35 4 1 0 -2 -4 -4 -4 -2 -2 -4 5 1 4 3 2 5 3 5 2 5 2 5 5 4 3 1 5 3 정상
37 36 1 -4 -1 -4 -4 0 -4 4 4 0 5 1 4 2 1 5 4 5 2 5 3 2 5 5 1 1 2 3 정상
38 37 2 1 1 -4 -1 0 -4 0 -1 -2 5 1 3 3 2 5 4 5 2 4 2 5 4 4 3 2 5 3 정상
39 38 4 -2 1 1 -4 -3 -1 0 0 4 5 1 4 2 3 5 4 5 2 5 5 4 5 3 3 1 3 3 정상
40 39 -4 -4 0 -1 -4 4 1 4 2 -4 5 1 4 2 1 5 5 5 3 4 4 4 2 5 2 3 4 3 정상
41 40 2 -4 0 -2 -4 -4 -4 2 2 0 5 1 3 2 2 5 4 5 3 5 3 5 5 3 3 1 5 3 정상
42 41 4 -4 0 1 -4 1 -4 4 2 0 5 1 4 2 3 5 4 5 1 5 4 5 5 5 4 2 2 4 정상
43 42 4 -4 -1 -1 -4 -1 -3 1 1 0 5 2 5 2 1 5 2 5 3 5 3 4 4 5 4 2 5 3 정상
44 43 4 -4 1 -4 -4 -1 -4 4 -4 -4 5 2 5 2 4 5 4 5 1 5 3 4 3 5 2 2 4 3 정상
45 44 4 -2 1 -1 -4 -1 -4 4 1 -1 5 1 4 2 3 5 3 5 4 5 2 4 2 5 3 1 5 3 정상
46 45 1 -2 2 4 -4 1 4 4 4 -2 5 1 5 3 2 5 5 5 1 3 4 5 5 5 3 2 5 2 정상
47 46 1 -1 -4 -3 -2 -1 -1 0 -1 0 5 2 5 3 2 5 2 4 2 4 4 3 5 4 2 2 3 4 정상
48 47 4 0 0 1 -4 -4 -3 -4 0 2 5 1 4 2 4 5 3 5 1 5 5 5 5 5 3 1 5 3 정상
49 48 1 -4 -1 1 -4 0 -2 3 4 0 5 1 5 1 3 5 3 4 4 5 2 5 4 4 3 1 4 4 정상
50 49 3 -2 -2 4 -4 0 3 4 4 4 5 2 5 2 3 5 4 5 1 4 3 5 5 5 5 1 2 4 정상
51 50 0 -4 1 0 -4 -4 -4 2 4 1 5 1 4 2 3 5 4 5 4 5 3 3 5 5 3 1 3 3 정상
52 51 3 -3 -2 4 -4 -3 0 4 4 3 5 1 4 1 3 5 3 5 2 4 3 5 5 5 4 1 3 4 정상
53 52 -4 -4 0 -4 -4 2 -4 4 0 -4 5 1 4 2 2 5 3 5 4 5 2 5 3 5 2 1 3 4 정상
54 53 2 -4 -4 -1 -4 -1 -3 4 4 3 5 2 4 2 2 5 4 5 2 5 4 5 5 4 4 1 2 4 정상
55 54 1 -4 4 0 -4 -3 3 4 4 0 5 1 4 2 3 5 2 5 1 5 4 5 5 5 3 3 3 3 정상
56 55 3 -3 -1 -4 -4 -4 -4 4 -4 -4 5 1 4 2 2 5 3 5 3 5 3 5 5 4 1 3 5 3 정상
57 56 2 0 -1 -3 -2 -2 -3 1 0 0 5 2 4 1 2 5 1 5 1 5 4 5 5 5 3 3 5 2 정상
58 57 0 -4 -4 -1 -4 -1 1 4 4 3 4 1 4 1 2 5 4 5 2 5 4 4 4 5 3 2 5 1 정상
59 58 4 -2 1 1 -4 -4 -4 1 4 2 5 1 5 2 4 5 4 5 3 5 4 5 5 5 3 2 5 4 정상
60 59 4 1 -1 -3 -4 -4 -4 -1 -2 -1 5 1 5 1 3 5 2 4 3 5 3 5 4 3 3 1 2 3 정상
61 60 3 -4 2 -4 -4 -2 -4 4 -1 -4 5 2 4 1 3 5 4 5 3 5 3 4 5 5 3 2 4 3 정상
62 61 -4 -4 -4 -4 -4 -2 -4 4 0 -4 5 1 5 2 1 5 3 5 3 5 2 4 3 5 3 1 3 4 정상
63 62 4 -2 4 3 -4 0 -4 4 4 -4 5 1 5 1 2 5 3 5 3 5 2 5 4 5 3 1 4 3 정상
64 63 4 -2 0 2 -4 -1 -3 4 4 0 5 1 5 2 2 5 3 5 1 5 4 5 5 4 3 1 4 3 정상
65 64 0 -4 -2 -3 -4 -2 -2 4 4 0 5 1 4 2 1 5 3 5 2 5 4 5 3 5 2 1 4 2 정상
66 65 1 -4 1 -4 -4 -2 -4 4 -1 -4 5 2 5 1 2 5 3 5 3 4 2 5 4 5 3 1 4 3 정상
67 66 2 -3 2 -2 -4 -1 -4 1 0 -4 5 1 4 2 2 5 4 5 3 5 2 5 5 5 2 1 3 4 정상
68 67 3 -2 0 -3 -3 -4 -4 -1 0 0 5 1 4 2 3 5 3 5 3 5 4 5 5 5 2 1 4 2 정상
69 68 0 -4 -4 -4 -3 -1 -4 1 -1 -1 5 1 4 2 2 5 2 5 3 5 3 5 5 4 2 2 5 4 정상
70 69 4 -4 -1 -4 -4 -4 -4 3 3 -4 5 2 5 1 2 5 3 5 4 5 2 5 5 4 2 1 2 2 정상
71 70 4 -4 -1 3 -4 -4 -4 4 4 -1 5 1 4 2 3 5 3 4 2 5 2 3 4 5 3 2 4 2 정상
72 71 0 -3 0 0 0 2 1 4 4 2 5 2 4 3 2 5 4 5 2 5 5 5 5 5 3 2 3 2 정상
73 72 0 -4 1 -2 -2 0 -3 4 0 -2 5 2 5 2 2 5 3 5 2 5 2 5 3 4 3 1 5 3 정상
74 73 4 -1 4 0 -4 -3 -4 3 2 0 5 1 4 3 3 5 4 5 3 5 3 5 5 5 2 1 3 4 정상
75 74 3 -3 -1 -2 -4 -4 -4 1 -2 -2 5 1 4 2 3 5 4 3 3 5 1 5 5 5 2 2 4 5 정상
76 75 4 -3 4 4 -4 -2 -4 4 4 1 5 1 3 2 3 5 4 5 3 5 2 2 5 3 2 2 4 2 정상
77 76 2 -2 1 0 2 1 1 3 0 -1 5 1 4 2 3 5 3 5 3 4 3 5 4 5 2 1 3 4 정상
78 77 0 -1 0 3 -4 3 -3 4 4 2 5 1 3 2 2 5 4 5 2 5 3 2 5 4 2 2 1 3 정상
79 78 0 -4 -2 -4 -4 -2 -2 4 1 -1 5 1 4 2 1 5 3 5 2 5 2 5 2 3 2 2 3 3 정상
80 79 4 -4 1 0 -4 -4 -2 4 4 -1 5 2 5 2 2 5 4 5 3 4 4 5 5 5 2 2 4 2 정상
81 80 4 4 4 3 -4 -4 -4 4 2 -4 5 1 5 2 3 5 5 5 2 5 2 5 5 3 3 1 1 2 정상
82 81 2 -4 -2 -4 -4 -4 -4 4 4 -2 5 1 4 2 3 5 4 5 1 5 2 3 5 3 4 1 4 4 정상
83 82 0 3 1 4 -4 0 -3 4 0 0 5 1 4 3 1 5 5 5 4 5 3 3 5 5 4 2 2 2 정상
84 83 0 -4 0 -4 -4 2 -3 4 4 -3 5 2 5 2 1 5 3 5 3 5 4 5 3 5 4 2 4 3 정상
85 84 3 0 4 -3 -4 -2 -4 1 1 -2 5 1 5 2 3 5 4 4 2 5 3 4 4 5 3 2 5 2 정상
86 85 -1 -4 0 -4 -4 0 -4 4 1 -4 5 1 5 2 3 5 4 5 3 5 2 5 5 5 4 2 4 3 정상
87 86 -1 -1 0 0 4 -2 4 0 4 2 5 1 4 2 4 5 4 5 3 5 3 3 4 5 3 1 3 3 정상
88 87 4 2 4 4 -4 -4 1 4 4 -3 5 1 5 2 4 5 5 5 2 5 3 3 4 4 3 1 1 2 정상
89 88 0 -4 1 -3 -1 -1 -4 0 0 0 5 1 4 1 3 5 3 5 3 5 4 5 4 5 4 2 4 3 정상
90 89 0 0 0 4 -1 -1 2 -1 1 0 5 1 4 2 2 5 3 5 2 4 5 2 5 5 4 1 4 4 정상
91 90 4 1 4 4 -4 -1 -4 4 4 -4 5 1 5 2 4 5 4 5 2 5 4 5 5 5 3 2 5 3 정상
92 91 0 -4 0 -4 -4 -4 -4 4 4 0 5 1 4 2 3 5 3 5 3 5 4 4 5 5 3 1 4 4 정상
93 92 -2 -1 0 -1 -2 0 -4 4 -3 -4 5 2 4 2 3 5 4 5 4 4 3 5 4 5 3 2 4 4 정상
94 93 4 4 4 4 -2 -3 0 1 0 0 5 1 4 2 3 5 3 4 3 4 5 5 5 5 4 1 5 5 정상
95 94 0 -4 -4 0 -4 -3 2 4 4 1 4 1 4 2 3 5 2 5 2 5 4 3 5 5 4 2 2 4 정상
96 95 4 -3 -1 -3 -4 -1 0 4 0 -4 5 1 5 3 2 5 3 5 2 5 3 5 5 5 3 1 2 2 정상
97 96 0 -4 -2 -1 -4 -2 -1 4 4 0 4 1 3 2 3 5 4 5 2 5 3 5 5 5 3 1 4 3 정상
98 97 4 -4 2 4 -4 -1 2 4 4 4 5 2 4 2 2 5 4 4 2 5 4 5 5 5 4 2 3 4 정상
99 98 2 -2 -2 -4 -2 -3 -4 -1 -2 0 5 1 4 1 1 5 1 5 2 4 3 5 5 5 3 2 4 3 정상
100 99 1 2 4 -3 1 2 -4 1 -4 -4 4 2 4 3 3 5 4 5 3 4 3 5 4 5 2 2 5 5 정상
101 100 3 -1 3 -4 -4 -2 -3 3 -4 -4 5 1 5 2 3 5 2 5 4 5 2 5 3 5 3 1 3 3 정상
102 101 -4 -3 -1 -4 0 3 1 0 2 -1 5 1 4 1 3 5 2 5 3 5 2 5 4 5 3 1 4 2 정상
103 102 -4 -4 -1 -4 -4 0 -2 4 4 -3 5 2 4 1 2 4 4 5 2 5 2 5 3 5 3 2 4 3 정상
104 103 2 0 4 2 0 4 0 4 4 -1 5 2 4 2 3 5 3 5 3 4 5 5 4 5 2 2 4 3 정상
105 104 4 2 4 -4 -3 -4 -4 1 -4 -4 5 1 5 2 3 5 1 5 4 4 3 5 3 5 3 1 3 3 정상
106 105 1 0 0 -4 -4 -4 -4 -2 -4 -4 5 1 4 2 3 5 3 5 3 5 3 5 4 5 3 2 4 2 정상
107 106 0 0 0 0 0 0 0 0 0 0 2 5 4 3 4 3 1 3 3 1 4 2 1 2 5 4 4 3 이상_쌍대동일(0)
108 107 4 4 4 4 4 4 4 4 4 4 2 1 5 3 5 5 2 2 2 5 4 1 1 1 5 3 3 1 이상_쌍대동일(4)
109 108 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 3 4 4 5 2 5 4 3 4 5 2 2 1 4 4 5 1 1 이상_쌍대동일(-4)
110 109 -2 -4 -1 -4 -4 2 -4 4 0 -4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 2 3 1 이상_직관전부5점
111 110 -1 -4 0 -2 -4 -2 -3 4 3 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 3 1 이상_직관전부1점
112 111 -2 4 4 3 -2 4 -1 -4 3 -3 3 5 3 5 5 4 4 4 1 3 1 2 5 3 4 1 5 2 이상_완전무작위
113 112 0 -4 -4 4 -2 -3 4 3 -2 -2 3 1 1 5 5 1 2 2 2 2 3 5 3 4 5 1 3 3 이상_완전무작위
analysis-code/res.csv
+57
View File
@@ -0,0 +1,57 @@
피실험자ID,가중치_안정성,가중치_수익_가능성,가중치_자금_효율성,가중치_사업_계획_완성도,가중치_사회적_가치,CR,CI,lambda_max,직관_Q01,모델점수_Q01,모델판단_Q01,판단차이_Q01,불일치_Q01,직관_Q02,모델점수_Q02,모델판단_Q02,판단차이_Q02,불일치_Q02,직관_Q03,모델점수_Q03,모델판단_Q03,판단차이_Q03,불일치_Q03,직관_Q04,모델점수_Q04,모델판단_Q04,판단차이_Q04,불일치_Q04,직관_Q05,모델점수_Q05,모델판단_Q05,판단차이_Q05,불일치_Q05,직관_Q06,모델점수_Q06,모델판단_Q06,판단차이_Q06,불일치_Q06,직관_Q07,모델점수_Q07,모델판단_Q07,판단차이_Q07,불일치_Q07,직관_Q08,모델점수_Q08,모델판단_Q08,판단차이_Q08,불일치_Q08,직관_Q09,모델점수_Q09,모델판단_Q09,판단차이_Q09,불일치_Q09,직관_Q10,모델점수_Q10,모델판단_Q10,판단차이_Q10,불일치_Q10,직관_Q11,모델점수_Q11,모델판단_Q11,판단차이_Q11,불일치_Q11,직관_Q12,모델점수_Q12,모델판단_Q12,판단차이_Q12,불일치_Q12,직관_Q13,모델점수_Q13,모델판단_Q13,판단차이_Q13,불일치_Q13,직관_Q14,모델점수_Q14,모델판단_Q14,판단차이_Q14,불일치_Q14,직관_Q15,모델점수_Q15,모델판단_Q15,판단차이_Q15,불일치_Q15,불일치_합계,불일치율_전체(%),불일치율_베이스라인(%),불일치율_단일극값(%),불일치율_변인충돌(%),사후Q1_모델과직관차이,사후Q2_모델기준이해,사후Q3_모델합리성
1,0.2767,0.248,0.1308,0.2992,0.0453,0.0478,0.0535,5.214,5,84.5,5,0,0,1,19.5,1,0,0,4,69.1,4,0,0,1,35.2,2,-1,0,3,51.6,3,0,0,5,75.0,5,0,0,3,59.5,4,-1,0,4,75.8,5,-1,0,2,66.5,4,-2,1,5,58.9,4,1,0,3,24.7,1,2,1,5,85.3,5,0,0,3,39.3,2,1,0,4,71.0,4,0,0,3,49.2,3,0,0,2,13.3,0.0,20.0,16.7,1,4,5
2,0.1144,0.5364,0.1257,0.1637,0.0599,0.0716,0.0802,5.321,5,83.2,5,0,0,3,20.5,1,2,1,3,70.0,4,-1,0,3,36.7,2,1,0,3,61.4,4,-1,0,5,83.5,5,0,0,3,60.9,4,-1,0,5,71.1,4,1,0,3,64.7,4,-1,0,5,68.5,4,1,0,2,24.5,1,1,0,5,82.7,5,0,0,5,61.9,4,1,0,4,52.0,3,1,0,2,50.5,3,-1,0,1,6.7,25.0,0.0,0.0,2,4,4
3,0.2284,0.4231,0.1596,0.1323,0.0566,0.0656,0.0735,5.2941,5,83.3,5,0,0,1,19.9,1,0,0,4,69.4,4,0,0,2,36.7,2,0,0,1,54.3,3,-2,1,5,80.6,5,0,0,4,58.2,4,0,0,5,70.6,4,1,0,3,65.2,4,-1,0,5,68.3,4,1,0,4,24.4,1,3,1,3,83.3,5,-2,1,3,52.9,3,0,0,5,59.8,4,1,0,3,50.2,3,0,0,3,20.0,0.0,20.0,33.3,2,3,3
4,0.0827,0.5313,0.0972,0.191,0.0977,0.0918,0.1028,5.4112,5,83.4,5,0,0,1,20.9,1,0,0,5,70.0,4,1,0,2,36.3,2,0,0,4,63.3,4,0,0,5,83.4,5,0,0,4,63.0,4,0,0,5,71.8,4,1,0,3,62.4,4,-1,0,5,66.1,4,1,0,3,27.4,1,2,1,5,79.9,5,0,0,5,64.3,4,1,0,4,51.9,3,1,0,4,50.6,3,1,0,1,6.7,0.0,0.0,16.7,1,3,2
6,0.0835,0.378,0.0703,0.3469,0.1213,0.0255,0.0285,5.1141,5,84.4,5,0,0,1,20.8,1,0,0,4,69.8,4,0,0,2,34.9,2,0,0,3,63.3,4,-1,0,5,78.6,5,0,0,3,64.5,4,-1,0,4,76.5,5,-1,0,3,61.3,4,-1,0,5,54.9,3,2,1,3,30.2,2,1,0,5,79.2,5,0,0,5,54.9,3,2,1,5,61.4,4,1,0,5,49.9,3,2,1,3,20.0,0.0,0.0,50.0,2,4,2
8,0.1411,0.4361,0.0579,0.3105,0.0544,0.0734,0.0822,5.3286,5,84.3,5,0,0,1,20.6,1,0,0,5,70.1,4,1,0,2,35.2,2,0,0,3,59.8,4,-1,0,5,80.2,5,0,0,4,65.0,4,0,0,4,75.4,5,-1,0,3,65.6,4,-1,0,5,63.3,4,1,0,3,24.9,1,2,1,5,83.9,5,0,0,4,54.3,3,1,0,5,58.2,4,1,0,3,49.8,3,0,0,1,6.7,0.0,0.0,16.7,2,3,4
12,0.3883,0.1804,0.0431,0.2888,0.0994,0.0976,0.1094,5.4375,5,85.0,5,0,0,2,19.9,1,1,0,4,69.0,4,0,0,2,34.4,2,0,0,3,44.0,3,0,0,5,73.5,5,0,0,5,64.8,4,1,0,5,75.4,5,0,0,3,63.8,4,-1,0,5,62.9,4,1,0,4,28.6,2,2,1,4,81.1,5,-1,0,3,37.7,2,1,0,5,75.4,5,0,0,3,49.0,3,0,0,1,6.7,0.0,0.0,16.7,2,5,4
14,0.2307,0.2327,0.0593,0.4203,0.057,0.0309,0.0346,5.1383,5,85.2,5,0,0,1,20.0,1,0,0,5,69.5,4,1,0,2,34.0,2,0,0,2,54.4,3,-1,0,5,74.2,5,0,0,3,64.2,4,-1,0,5,79.1,5,0,0,2,66.0,4,-2,1,5,54.7,3,2,1,3,26.0,1,2,1,5,84.8,5,0,0,4,39.4,2,2,1,5,71.5,4,1,0,4,48.9,3,1,0,4,26.7,0.0,20.0,50.0,2,5,3
15,0.1337,0.4008,0.0802,0.3243,0.061,0.0531,0.0595,5.2378,5,84.3,5,0,0,1,20.4,1,0,0,4,69.9,4,0,0,2,35.1,2,0,0,3,60.4,4,-1,0,5,79.2,5,0,0,3,63.5,4,-1,0,5,75.9,5,0,0,3,65.2,4,-1,0,5,60.0,4,1,0,4,25.6,1,3,1,5,83.6,5,0,0,5,52.2,3,2,1,5,60.5,4,1,0,3,49.7,3,0,0,2,13.3,0.0,0.0,33.3,1,5,3
16,0.1061,0.4852,0.0903,0.1012,0.2172,0.0566,0.0634,5.2537,5,83.2,5,0,0,1,21.4,1,0,0,4,69.4,4,0,0,3,36.6,2,1,0,3,61.2,4,-1,0,5,82.8,5,0,0,3,63.7,4,-1,0,5,69.1,4,1,0,3,54.9,3,0,0,5,65.0,4,1,0,4,36.0,2,2,1,3,70.6,4,-1,0,5,69.0,4,1,0,5,54.6,3,2,1,4,51.1,3,1,0,2,13.3,0.0,0.0,33.3,1,5,4
19,0.1315,0.4718,0.1505,0.2019,0.0443,0.0701,0.0785,5.3141,5,83.4,5,0,0,2,20.1,1,1,0,5,69.8,4,1,0,1,36.5,2,-1,0,3,60.6,4,-1,0,5,81.5,5,0,0,3,59.1,4,-1,0,5,72.4,5,0,0,3,65.7,4,-1,0,5,64.7,4,1,0,4,23.7,1,3,1,5,84.3,5,0,0,3,56.0,3,0,0,3,56.3,3,0,0,2,50.2,3,-1,0,1,6.7,0.0,0.0,16.7,2,4,4
21,0.2478,0.4141,0.0495,0.2104,0.0782,0.0587,0.0657,5.2628,5,84.1,5,0,0,1,20.5,1,0,0,3,69.8,4,-1,0,1,35.5,2,-1,0,1,52.8,3,-2,1,5,80.2,5,0,0,3,65.2,4,-1,0,5,72.6,5,0,0,3,64.4,4,-1,0,4,69.8,4,0,0,4,26.2,1,3,1,5,81.8,5,0,0,4,53.8,3,1,0,5,60.1,4,1,0,3,49.9,3,0,0,2,13.3,0.0,20.0,16.7,2,5,2
22,0.0591,0.31,0.0617,0.4099,0.1593,0.034,0.0381,5.1523,5,84.8,5,0,0,1,21.0,1,0,0,5,69.6,4,1,0,1,34.3,2,-1,0,3,64.9,4,-1,0,5,76.5,5,0,0,3,65.1,4,-1,0,5,78.4,5,0,0,2,59.0,4,-2,1,4,48.2,3,1,0,4,33.5,2,2,1,4,76.7,5,-1,0,2,52.7,3,-1,0,5,65.5,4,1,0,2,49.7,3,-1,0,2,13.3,0.0,20.0,16.7,2,4,3
24,0.289,0.3339,0.0439,0.0928,0.2404,0.079,0.0885,5.354,5,83.8,5,0,0,1,21.1,1,0,0,4,68.9,4,0,0,2,35.8,2,0,0,3,49.4,3,0,0,5,78.9,5,0,0,3,66.0,4,-1,0,5,69.2,4,1,0,3,54.3,3,0,0,5,67.7,4,1,0,4,37.9,2,2,1,5,69.2,4,1,0,4,58.9,4,0,0,5,64.8,4,1,0,3,50.5,3,0,0,1,6.7,0.0,0.0,16.7,1,3,4
25,0.1777,0.3464,0.0669,0.3493,0.0598,0.0737,0.0825,5.3301,5,84.6,5,0,0,2,20.3,1,1,0,5,69.8,4,1,0,2,34.8,2,0,0,2,57.6,3,-1,0,5,77.6,5,0,0,3,64.1,4,-1,0,5,76.8,5,0,0,2,65.5,4,-2,1,5,59.3,4,1,0,2,25.7,1,1,0,5,83.9,5,0,0,4,48.0,3,1,0,5,64.1,4,1,0,3,49.5,3,0,0,1,6.7,0.0,20.0,0.0,2,3,3
27,0.2656,0.2651,0.1012,0.2901,0.0779,0.0734,0.0823,5.329,5,84.5,5,0,0,1,19.9,1,0,0,4,69.2,4,0,0,2,35.1,2,0,0,3,52.0,3,0,0,5,75.7,5,0,0,2,61.6,4,-2,1,5,75.4,5,0,0,2,64.5,4,-2,1,5,59.7,4,1,0,2,27.0,1,1,0,5,82.6,5,0,0,4,42.9,3,1,0,5,69.7,4,1,0,2,49.4,3,-1,0,2,13.3,0.0,40.0,0.0,2,3,4
28,0.3583,0.1052,0.0443,0.3385,0.1538,0.0711,0.0797,5.3186,4,85.3,5,-1,0,1,20.0,1,0,0,4,68.7,4,0,0,2,33.9,2,0,0,2,45.8,3,-1,0,5,71.4,4,1,0,2,64.9,4,-2,1,5,76.9,5,0,0,1,60.4,4,-3,1,5,55.3,3,2,1,2,33.1,2,0,0,5,77.4,5,0,0,2,36.2,2,0,0,5,79.8,5,0,0,2,48.9,3,-1,0,3,20.0,0.0,40.0,16.7,2,5,1
29,0.2833,0.1068,0.0699,0.2295,0.3105,0.0604,0.0676,5.2705,5,84.7,5,0,0,2,20.9,1,1,0,4,68.1,4,0,0,2,34.7,2,0,0,4,50.0,3,1,0,5,72.2,5,0,0,4,64.1,4,0,0,5,73.6,5,0,0,2,50.1,3,-1,0,5,50.5,3,2,1,4,44.4,3,1,0,5,65.1,4,1,0,3,47.2,3,0,0,5,79.0,5,0,0,2,49.9,3,-1,0,1,6.7,0.0,0.0,16.7,1,3,3
31,0.1367,0.1877,0.1041,0.2314,0.3401,0.0981,0.1099,5.4395,5,84.3,5,0,0,1,21.3,1,0,0,4,68.2,4,0,0,2,35.1,2,0,0,2,59.2,4,-2,1,5,74.4,5,0,0,3,62.7,4,-1,0,5,73.4,5,0,0,4,47.6,3,1,0,4,45.5,3,1,0,4,46.5,3,1,0,4,62.7,4,0,0,5,55.7,3,2,1,5,73.2,5,0,0,2,50.4,3,-1,0,2,13.3,0.0,20.0,16.7,2,4,4
32,0.1176,0.1407,0.0432,0.1886,0.51,0.0971,0.1087,5.4348,5,84.4,5,0,0,1,22.4,1,0,0,5,67.8,4,1,0,2,34.8,2,0,0,3,59.6,4,-1,0,5,73.8,5,0,0,4,67.2,4,0,0,5,71.9,4,1,0,2,37.1,2,0,0,3,41.7,2,1,0,5,59.0,4,1,0,4,49.7,3,1,0,5,64.1,4,1,0,5,75.3,5,0,0,4,51.0,3,1,0,0,0.0,0.0,0.0,0.0,1,3,4
33,0.0486,0.5119,0.2059,0.16,0.0735,0.0815,0.0912,5.365,4,82.8,5,-1,0,2,20.3,1,1,0,5,69.6,4,1,0,2,37.2,2,0,0,3,65.9,4,-1,0,4,82.8,5,-1,0,2,56.0,3,-1,0,5,71.2,4,1,0,3,63.3,4,-1,0,5,61.4,4,1,0,4,25.7,1,3,1,3,81.9,5,-2,1,5,61.2,4,1,0,4,53.4,3,1,0,4,50.7,3,1,0,2,13.3,0.0,0.0,33.3,2,5,3
35,0.1077,0.5302,0.1895,0.1209,0.0518,0.096,0.1075,5.4301,5,82.8,5,0,0,1,20.2,1,0,0,4,69.7,4,0,0,3,37.3,2,1,0,2,62.1,4,-2,1,5,83.4,5,0,0,3,56.8,3,0,0,5,70.1,4,1,0,2,64.9,4,-2,1,5,67.2,4,1,0,2,23.8,1,1,0,5,83.3,5,0,0,5,60.8,4,1,0,4,52.5,3,1,0,3,50.6,3,0,0,2,13.3,0.0,40.0,0.0,1,5,3
37,0.1548,0.3361,0.1997,0.244,0.0654,0.0602,0.0674,5.2695,5,83.7,5,0,0,1,19.7,1,0,0,3,69.1,4,-1,0,3,36.2,2,1,0,2,59.3,4,-2,1,5,77.6,5,0,0,4,55.7,3,1,0,5,74.1,5,0,0,2,64.5,4,-2,1,4,56.1,3,1,0,2,25.9,1,1,0,5,83.4,5,0,0,4,47.5,3,1,0,4,65.0,4,0,0,3,49.8,3,0,0,2,13.3,0.0,40.0,0.0,2,5,3
39,0.3213,0.102,0.0475,0.3957,0.1336,0.0867,0.0971,5.3884,5,85.5,5,0,0,1,20.0,1,0,0,4,68.8,4,0,0,2,33.7,2,0,0,1,48.3,3,-2,1,5,70.9,4,1,0,5,64.7,4,1,0,5,78.6,5,0,0,3,61.7,4,-1,0,4,52.2,3,1,0,4,31.9,2,2,1,4,79.2,5,-1,0,2,34.7,2,0,0,5,79.9,5,0,0,2,48.8,3,-1,0,2,13.3,0.0,20.0,16.7,3,4,3
40,0.2088,0.4956,0.0523,0.135,0.1084,0.0551,0.0618,5.247,5,83.5,5,0,0,1,20.9,1,0,0,3,69.9,4,-1,0,2,36.2,2,0,0,2,55.0,3,-1,0,5,82.8,5,0,0,4,65.5,4,0,0,5,70.2,4,1,0,3,62.2,4,-1,0,5,73.1,5,0,0,3,27.9,1,2,1,5,78.9,5,0,0,5,61.9,4,1,0,3,54.7,3,0,0,3,50.5,3,0,0,1,6.7,0.0,0.0,16.7,1,5,3
42,0.209,0.4824,0.0611,0.1352,0.1124,0.0651,0.073,5.2918,5,83.5,5,0,0,2,20.8,1,1,0,5,69.8,4,1,0,2,36.2,2,0,0,1,55.0,3,-2,1,5,82.5,5,0,0,2,64.9,4,-2,1,5,70.2,4,1,0,3,62.0,4,-1,0,5,72.1,5,0,0,3,28.3,2,1,0,4,78.7,5,-1,0,4,61.2,4,0,0,5,55.5,3,2,1,4,50.5,3,1,0,3,20.0,0.0,40.0,16.7,2,5,3
44,0.1392,0.4686,0.057,0.2392,0.0959,0.0308,0.0345,5.1382,5,83.9,5,0,0,1,20.9,1,0,0,4,70.0,4,0,0,2,35.6,2,0,0,3,59.6,4,-1,0,5,81.5,5,0,0,3,65.3,4,-1,0,5,73.2,5,0,0,4,62.9,4,0,0,5,65.8,4,1,0,2,27.6,1,1,0,4,80.4,5,-1,0,2,59.5,4,-2,1,5,56.1,3,2,1,3,50.2,3,0,0,2,13.3,0.0,0.0,33.3,1,5,3
46,0.3197,0.3387,0.1345,0.1084,0.0988,0.0676,0.0757,5.3027,5,83.5,5,0,0,2,19.9,1,1,0,5,69.0,4,1,0,3,36.4,2,1,0,2,48.3,3,-1,0,5,78.5,5,0,0,2,59.5,4,-2,1,4,70.1,4,0,0,2,63.0,4,-2,1,4,69.2,4,0,0,4,27.5,1,3,1,3,80.2,5,-2,1,5,49.2,3,2,1,4,65.4,4,0,0,2,50.0,3,-1,0,5,33.3,0.0,40.0,50.0,2,3,4
47,0.0952,0.5208,0.16,0.0661,0.1579,0.0665,0.0745,5.298,5,82.7,5,0,0,1,20.8,1,0,0,4,69.4,4,0,0,2,37.4,2,0,0,4,62.3,4,0,0,5,83.7,5,0,0,3,59.1,4,-1,0,5,68.3,4,1,0,1,58.2,4,-3,1,5,66.2,4,1,0,5,31.5,2,3,1,5,75.0,5,0,0,5,67.4,4,1,0,5,52.7,3,2,1,3,51.1,3,0,0,3,20.0,0.0,20.0,33.3,1,5,3
48,0.2048,0.3396,0.0459,0.193,0.2166,0.0813,0.0911,5.3643,5,84.1,5,0,0,1,21.1,1,0,0,5,69.2,4,1,0,1,35.4,2,-1,0,3,55.0,3,0,0,5,78.5,5,0,0,3,66.0,4,-1,0,4,72.0,5,-1,0,4,55.6,3,1,0,5,61.7,4,1,0,2,36.6,2,0,0,5,71.4,4,1,0,4,58.1,4,0,0,4,64.1,4,0,0,3,50.3,3,0,0,0,0.0,0.0,0.0,0.0,1,4,4
52,0.394,0.1676,0.0536,0.3311,0.0536,0.0734,0.0822,5.3287,5,85.2,5,0,0,1,19.5,1,0,0,4,69.1,4,0,0,2,34.2,2,0,0,2,43.9,3,-1,0,5,72.9,5,0,0,3,63.9,4,-1,0,5,76.8,5,0,0,4,66.8,4,0,0,5,62.1,4,1,0,2,25.5,1,1,0,5,84.9,5,0,0,3,33.6,2,1,0,5,76.4,5,0,0,2,48.7,3,-1,0,0,0.0,0.0,0.0,0.0,1,3,4
56,0.217,0.4247,0.1224,0.138,0.098,0.0658,0.0737,5.2948,5,83.4,5,0,0,2,20.3,1,1,0,4,69.4,4,0,0,1,36.4,2,-1,0,2,54.8,3,-1,0,5,80.7,5,0,0,1,60.8,4,-3,1,5,70.6,4,1,0,1,62.7,4,-3,1,5,68.0,4,1,0,4,27.4,1,3,1,5,80.1,5,0,0,5,55.9,3,2,1,5,59.4,4,1,0,3,50.3,3,0,0,4,26.7,0.0,40.0,33.3,3,5,2
57,0.3517,0.2122,0.0438,0.1069,0.2854,0.0821,0.092,5.3679,4,84.2,5,-1,0,1,20.9,1,0,0,4,68.4,4,0,0,1,35.4,2,-1,0,2,45.4,3,-1,0,5,75.7,5,0,0,4,65.7,4,0,0,5,69.9,4,1,0,2,51.8,3,-1,0,5,63.5,4,1,0,4,41.6,2,2,1,4,66.2,4,0,0,4,52.8,3,1,0,5,72.7,5,0,0,3,50.3,3,0,0,1,6.7,0.0,0.0,16.7,2,5,1
58,0.0974,0.5337,0.0538,0.1094,0.2057,0.0823,0.0922,5.3688,5,83.3,5,0,0,1,21.6,1,0,0,5,69.8,4,1,0,2,36.4,2,0,0,4,61.7,4,0,0,5,84.2,5,0,0,4,66.2,4,0,0,5,69.2,4,1,0,3,55.7,3,0,0,5,68.1,4,1,0,4,35.0,2,2,1,5,71.3,4,1,0,5,71.8,4,1,0,5,51.4,3,2,1,3,51.2,3,0,0,2,13.3,0.0,0.0,33.3,2,5,4
59,0.141,0.5393,0.1733,0.0889,0.0574,0.0605,0.0677,5.2709,5,82.7,5,0,0,1,20.2,1,0,0,5,69.7,4,1,0,1,37.4,2,-1,0,3,59.8,4,-1,0,5,83.9,5,0,0,2,57.8,3,-1,0,4,69.1,4,0,0,3,64.7,4,-1,0,5,70.4,4,1,0,3,24.0,1,2,1,5,82.7,5,0,0,4,61.7,4,0,0,3,52.1,3,0,0,3,50.7,3,0,0,1,6.7,0.0,0.0,16.7,1,2,3
60,0.1677,0.4547,0.0613,0.2693,0.047,0.0989,0.1108,5.4432,5,84.1,5,0,0,2,20.5,1,1,0,4,70.1,4,0,0,1,35.4,2,-1,0,3,58.1,4,-1,0,5,80.9,5,0,0,4,64.7,4,0,0,5,74.2,5,0,0,3,66.1,4,-1,0,5,66.6,4,1,0,3,24.1,1,2,1,4,84.3,5,-1,0,5,55.0,3,2,1,5,57.2,3,2,1,3,49.9,3,0,0,3,20.0,0.0,0.0,50.0,2,4,3
63,0.1121,0.457,0.0477,0.1812,0.202,0.0689,0.0772,5.3087,5,83.7,5,0,0,1,21.5,1,0,0,5,69.6,4,1,0,2,35.8,2,0,0,2,60.9,4,-2,1,5,81.7,5,0,0,3,66.3,4,-1,0,5,71.4,4,1,0,1,56.1,3,-2,1,5,63.5,4,1,0,4,35.2,2,2,1,5,72.1,5,0,0,5,66.0,4,1,0,4,56.3,3,1,0,3,50.8,3,0,0,3,20.0,0.0,40.0,16.7,1,4,3
64,0.3545,0.3291,0.0451,0.1384,0.1328,0.0523,0.0586,5.2343,5,84.1,5,0,0,1,20.4,1,0,0,4,69.2,4,0,0,2,35.6,2,0,0,1,45.7,3,-2,1,5,78.4,5,0,0,3,65.2,4,-1,0,5,70.7,4,1,0,2,61.3,4,-2,1,5,71.7,4,1,0,4,30.1,2,2,1,5,77.6,5,0,0,3,50.9,3,0,0,5,65.8,4,1,0,2,49.9,3,-1,0,3,20.0,0.0,40.0,16.7,1,4,2
65,0.2107,0.4138,0.0642,0.2624,0.0489,0.064,0.0716,5.2866,5,84.2,5,0,0,2,20.3,1,1,0,5,69.9,4,1,0,1,35.4,2,-1,0,2,55.4,3,-1,0,5,79.8,5,0,0,3,64.3,4,-1,0,5,74.1,5,0,0,3,66.1,4,-1,0,4,66.8,4,0,0,2,24.3,1,1,0,5,84.2,5,0,0,4,51.9,3,1,0,5,60.0,4,1,0,3,49.8,3,0,0,0,0.0,0.0,0.0,0.0,1,4,3
66,0.1699,0.4127,0.0765,0.2775,0.0634,0.0615,0.0689,5.2754,5,84.1,5,0,0,1,20.4,1,0,0,4,69.8,4,0,0,2,35.4,2,0,0,2,58.0,3,-1,0,5,79.7,5,0,0,4,63.7,4,0,0,5,74.6,5,0,0,3,65.1,4,-1,0,5,63.6,4,1,0,2,25.5,1,1,0,5,83.2,5,0,0,5,53.0,3,2,1,5,59.9,4,1,0,2,49.8,3,-1,0,1,6.7,0.0,0.0,16.7,1,3,4
67,0.2043,0.5007,0.1101,0.1016,0.0833,0.0798,0.0894,5.3577,5,83.2,5,0,0,1,20.5,1,0,0,4,69.7,4,0,0,2,36.8,2,0,0,3,55.5,3,0,0,5,83.0,5,0,0,3,61.7,4,-1,0,5,69.4,4,1,0,3,63.5,4,-1,0,5,72.7,5,0,0,4,26.0,1,3,1,5,80.8,5,0,0,5,60.5,4,1,0,5,54.6,3,2,1,2,50.5,3,-1,0,2,13.3,0.0,0.0,33.3,1,4,2
68,0.4089,0.3172,0.0842,0.1287,0.061,0.0279,0.0313,5.125,5,84.0,5,0,0,1,19.7,1,0,0,4,69.2,4,0,0,2,35.9,2,0,0,2,42.6,3,-1,0,5,77.9,5,0,0,2,62.3,4,-2,1,5,70.7,4,1,0,3,65.9,4,-1,0,5,74.3,5,0,0,3,24.8,1,2,1,5,83.1,5,0,0,5,44.8,3,2,1,4,67.1,4,0,0,2,49.6,3,-1,0,3,20.0,0.0,20.0,33.3,2,5,4
71,0.223,0.1238,0.0675,0.2386,0.347,0.0875,0.098,5.3919,5,84.7,5,0,0,2,21.2,1,1,0,4,68.1,4,0,0,3,34.7,2,1,0,2,53.7,3,-1,0,5,72.7,5,0,0,4,64.6,4,0,0,5,73.8,5,0,0,2,47.7,3,-1,0,5,47.4,3,2,1,5,47.1,3,2,1,5,62.3,4,1,0,5,51.3,3,2,1,5,77.5,5,0,0,3,50.1,3,0,0,3,20.0,0.0,0.0,50.0,2,3,2
72,0.2493,0.2701,0.0697,0.3305,0.0804,0.0247,0.0276,5.1106,5,84.8,5,0,0,2,20.1,1,1,0,5,69.4,4,1,0,2,34.6,2,0,0,2,53.0,3,-1,0,5,75.7,5,0,0,3,63.7,4,-1,0,5,76.4,5,0,0,2,64.5,4,-2,1,5,59.0,4,1,0,2,27.3,1,1,0,5,82.5,5,0,0,3,43.5,3,0,0,4,69.2,4,0,0,3,49.3,3,0,0,1,6.7,0.0,20.0,0.0,1,5,3
73,0.0889,0.5115,0.0559,0.2126,0.1311,0.0803,0.0899,5.3597,5,83.7,5,0,0,1,21.2,1,0,0,4,70.0,4,0,0,3,35.9,2,1,0,3,62.7,4,-1,0,5,82.9,5,0,0,4,65.7,4,0,0,5,72.3,5,0,0,3,60.5,4,-1,0,5,65.4,4,1,0,3,30.0,2,1,0,5,77.5,5,0,0,5,65.2,4,1,0,5,53.0,3,2,1,2,50.6,3,-1,0,1,6.7,0.0,0.0,16.7,1,3,4
74,0.2114,0.513,0.09,0.1289,0.0568,0.0747,0.0837,5.3346,5,83.3,5,0,0,1,20.4,1,0,0,4,69.9,4,0,0,2,36.5,2,0,0,3,55.1,3,0,0,5,83.1,5,0,0,4,62.9,4,0,0,3,70.1,4,-1,0,3,65.3,4,-1,0,5,74.2,5,0,0,1,24.1,1,0,0,5,82.8,5,0,0,5,59.6,4,1,0,5,53.8,3,2,1,2,50.4,3,-1,0,1,6.7,0.0,0.0,16.7,2,4,5
78,0.3661,0.3316,0.0521,0.1615,0.0888,0.0341,0.0381,5.1526,5,84.1,5,0,0,1,20.1,1,0,0,4,69.3,4,0,0,2,35.6,2,0,0,1,45.2,3,-2,1,5,78.2,5,0,0,3,64.6,4,-1,0,5,71.5,4,1,0,2,64.1,4,-2,1,5,72.5,5,0,0,2,26.9,1,1,0,5,81.0,5,0,0,2,48.0,3,-1,0,3,65.8,4,-1,0,2,49.7,3,-1,0,2,13.3,0.0,40.0,0.0,2,3,3
79,0.1251,0.5025,0.0434,0.1914,0.1375,0.0901,0.1009,5.4034,5,83.7,5,0,0,2,21.2,1,1,0,5,70.0,4,1,0,2,35.9,2,0,0,2,60.3,4,-2,1,5,82.8,5,0,0,4,66.4,4,0,0,5,71.7,4,1,0,3,60.2,4,-1,0,4,67.5,4,0,0,4,30.4,2,2,1,5,76.9,5,0,0,5,64.8,4,1,0,5,53.7,3,2,1,2,50.6,3,-1,0,3,20.0,0.0,20.0,33.3,2,4,2
83,0.2858,0.2252,0.0432,0.3514,0.0944,0.0949,0.1063,5.4251,5,85.1,5,0,0,2,20.1,1,1,0,5,69.3,4,1,0,2,34.2,2,0,0,1,50.6,3,-2,1,5,74.4,5,0,0,3,65.2,4,-1,0,5,77.1,5,0,0,3,63.9,4,-1,0,5,58.6,4,1,0,4,28.5,2,2,1,5,81.6,5,0,0,3,41.1,2,1,0,5,72.1,5,0,0,4,49.1,3,1,0,2,13.3,0.0,20.0,16.7,2,4,3
85,0.338,0.2551,0.051,0.2882,0.0676,0.0261,0.0292,5.1168,5,84.8,5,0,0,1,19.9,1,0,0,5,69.3,4,1,0,2,34.7,2,0,0,3,47.3,3,0,0,5,75.5,5,0,0,4,64.5,4,0,0,5,75.3,5,0,0,3,65.6,4,-1,0,5,64.6,4,1,0,2,26.1,1,1,0,5,83.4,5,0,0,5,41.2,2,3,1,5,70.6,4,1,0,4,49.2,3,1,0,1,6.7,0.0,0.0,16.7,2,4,3
93,0.0441,0.3873,0.1537,0.1947,0.2203,0.0758,0.0849,5.3394,5,83.4,5,0,0,1,21.0,1,0,0,4,69.0,4,0,0,2,36.3,2,0,0,3,65.6,4,-1,0,5,79.6,5,0,0,3,59.7,4,-1,0,4,72.2,5,-1,0,3,54.4,3,0,0,4,52.7,3,1,0,5,37.0,2,3,1,5,71.2,4,1,0,5,62.3,4,1,0,5,60.6,4,1,0,4,50.8,3,1,0,1,6.7,0.0,0.0,16.7,1,5,5
96,0.3196,0.3196,0.046,0.1471,0.1678,0.0337,0.0377,5.1508,4,84.1,5,-1,0,1,20.6,1,0,0,3,69.1,4,-1,0,2,35.5,2,0,0,3,47.8,3,0,0,5,78.1,5,0,0,4,65.4,4,0,0,5,70.9,4,1,0,2,59.0,4,-2,1,5,68.5,4,1,0,3,32.8,2,1,0,5,75.0,5,0,0,5,52.7,3,2,1,5,66.1,4,1,0,3,50.1,3,0,0,2,13.3,0.0,20.0,16.7,1,4,3
98,0.2695,0.4456,0.1407,0.08,0.0643,0.0447,0.0501,5.2002,5,83.1,5,0,0,1,20.0,1,0,0,4,69.4,4,0,0,1,36.9,2,-1,0,1,51.6,3,-2,1,5,81.5,5,0,0,1,59.3,4,-3,1,5,69.1,4,1,0,2,64.8,4,-2,1,4,73.2,5,-1,0,3,24.6,1,2,1,5,82.4,5,0,0,5,54.8,3,2,1,5,58.5,4,1,0,3,50.3,3,0,0,5,33.3,0.0,60.0,33.3,2,4,3
99,0.1044,0.1685,0.2591,0.4215,0.0464,0.049,0.0548,5.2193,4,84.4,5,-1,0,2,19.1,1,1,0,4,68.6,4,0,0,3,35.2,2,1,0,3,63.2,4,-1,0,5,72.0,5,0,0,4,51.6,3,1,0,5,79.7,5,0,0,3,65.6,4,-1,0,4,39.4,2,2,1,3,25.8,1,2,1,5,86.2,5,0,0,4,34.3,2,2,1,5,75.5,5,0,0,2,49.0,3,-1,0,3,20.0,0.0,0.0,50.0,2,5,5
101,0.4547,0.0746,0.1042,0.2146,0.1518,0.0782,0.0876,5.3505,5,84.7,5,0,0,1,19.5,1,0,0,4,68.1,4,0,0,1,34.9,2,-1,0,3,39.7,2,1,0,5,71.0,4,1,0,2,60.7,4,-2,1,5,73.7,5,0,0,3,60.5,4,-1,0,5,59.9,4,1,0,2,32.5,2,0,0,5,77.3,5,0,0,4,33.2,2,2,1,5,82.4,5,0,0,3,49.1,3,0,0,2,13.3,0.0,20.0,16.7,1,4,2
103,0.0711,0.1464,0.0836,0.4628,0.2361,0.0609,0.0683,5.273,5,85.3,5,0,0,2,20.9,1,1,0,4,68.8,4,0,0,2,33.7,2,0,0,3,64.1,4,-1,0,5,71.9,4,1,0,3,63.7,4,-1,0,5,80.2,5,0,0,3,54.3,3,0,0,4,37.1,2,2,1,5,39.9,2,3,1,5,71.6,4,1,0,4,46.1,3,1,0,5,75.7,5,0,0,2,49.5,3,-1,0,2,13.3,0.0,0.0,33.3,2,4,3
1 피실험자ID 가중치_안정성 가중치_수익_가능성 가중치_자금_효율성 가중치_사업_계획_완성도 가중치_사회적_가치 CR CI lambda_max 직관_Q01 모델점수_Q01 모델판단_Q01 판단차이_Q01 불일치_Q01 직관_Q02 모델점수_Q02 모델판단_Q02 판단차이_Q02 불일치_Q02 직관_Q03 모델점수_Q03 모델판단_Q03 판단차이_Q03 불일치_Q03 직관_Q04 모델점수_Q04 모델판단_Q04 판단차이_Q04 불일치_Q04 직관_Q05 모델점수_Q05 모델판단_Q05 판단차이_Q05 불일치_Q05 직관_Q06 모델점수_Q06 모델판단_Q06 판단차이_Q06 불일치_Q06 직관_Q07 모델점수_Q07 모델판단_Q07 판단차이_Q07 불일치_Q07 직관_Q08 모델점수_Q08 모델판단_Q08 판단차이_Q08 불일치_Q08 직관_Q09 모델점수_Q09 모델판단_Q09 판단차이_Q09 불일치_Q09 직관_Q10 모델점수_Q10 모델판단_Q10 판단차이_Q10 불일치_Q10 직관_Q11 모델점수_Q11 모델판단_Q11 판단차이_Q11 불일치_Q11 직관_Q12 모델점수_Q12 모델판단_Q12 판단차이_Q12 불일치_Q12 직관_Q13 모델점수_Q13 모델판단_Q13 판단차이_Q13 불일치_Q13 직관_Q14 모델점수_Q14 모델판단_Q14 판단차이_Q14 불일치_Q14 직관_Q15 모델점수_Q15 모델판단_Q15 판단차이_Q15 불일치_Q15 불일치_합계 불일치율_전체(%) 불일치율_베이스라인(%) 불일치율_단일극값(%) 불일치율_변인충돌(%) 사후Q1_모델과직관차이 사후Q2_모델기준이해 사후Q3_모델합리성
2 1 0.2767 0.248 0.1308 0.2992 0.0453 0.0478 0.0535 5.214 5 84.5 5 0 0 1 19.5 1 0 0 4 69.1 4 0 0 1 35.2 2 -1 0 3 51.6 3 0 0 5 75.0 5 0 0 3 59.5 4 -1 0 4 75.8 5 -1 0 2 66.5 4 -2 1 5 58.9 4 1 0 3 24.7 1 2 1 5 85.3 5 0 0 3 39.3 2 1 0 4 71.0 4 0 0 3 49.2 3 0 0 2 13.3 0.0 20.0 16.7 1 4 5
3 2 0.1144 0.5364 0.1257 0.1637 0.0599 0.0716 0.0802 5.321 5 83.2 5 0 0 3 20.5 1 2 1 3 70.0 4 -1 0 3 36.7 2 1 0 3 61.4 4 -1 0 5 83.5 5 0 0 3 60.9 4 -1 0 5 71.1 4 1 0 3 64.7 4 -1 0 5 68.5 4 1 0 2 24.5 1 1 0 5 82.7 5 0 0 5 61.9 4 1 0 4 52.0 3 1 0 2 50.5 3 -1 0 1 6.7 25.0 0.0 0.0 2 4 4
4 3 0.2284 0.4231 0.1596 0.1323 0.0566 0.0656 0.0735 5.2941 5 83.3 5 0 0 1 19.9 1 0 0 4 69.4 4 0 0 2 36.7 2 0 0 1 54.3 3 -2 1 5 80.6 5 0 0 4 58.2 4 0 0 5 70.6 4 1 0 3 65.2 4 -1 0 5 68.3 4 1 0 4 24.4 1 3 1 3 83.3 5 -2 1 3 52.9 3 0 0 5 59.8 4 1 0 3 50.2 3 0 0 3 20.0 0.0 20.0 33.3 2 3 3
5 4 0.0827 0.5313 0.0972 0.191 0.0977 0.0918 0.1028 5.4112 5 83.4 5 0 0 1 20.9 1 0 0 5 70.0 4 1 0 2 36.3 2 0 0 4 63.3 4 0 0 5 83.4 5 0 0 4 63.0 4 0 0 5 71.8 4 1 0 3 62.4 4 -1 0 5 66.1 4 1 0 3 27.4 1 2 1 5 79.9 5 0 0 5 64.3 4 1 0 4 51.9 3 1 0 4 50.6 3 1 0 1 6.7 0.0 0.0 16.7 1 3 2
6 6 0.0835 0.378 0.0703 0.3469 0.1213 0.0255 0.0285 5.1141 5 84.4 5 0 0 1 20.8 1 0 0 4 69.8 4 0 0 2 34.9 2 0 0 3 63.3 4 -1 0 5 78.6 5 0 0 3 64.5 4 -1 0 4 76.5 5 -1 0 3 61.3 4 -1 0 5 54.9 3 2 1 3 30.2 2 1 0 5 79.2 5 0 0 5 54.9 3 2 1 5 61.4 4 1 0 5 49.9 3 2 1 3 20.0 0.0 0.0 50.0 2 4 2
7 8 0.1411 0.4361 0.0579 0.3105 0.0544 0.0734 0.0822 5.3286 5 84.3 5 0 0 1 20.6 1 0 0 5 70.1 4 1 0 2 35.2 2 0 0 3 59.8 4 -1 0 5 80.2 5 0 0 4 65.0 4 0 0 4 75.4 5 -1 0 3 65.6 4 -1 0 5 63.3 4 1 0 3 24.9 1 2 1 5 83.9 5 0 0 4 54.3 3 1 0 5 58.2 4 1 0 3 49.8 3 0 0 1 6.7 0.0 0.0 16.7 2 3 4
8 12 0.3883 0.1804 0.0431 0.2888 0.0994 0.0976 0.1094 5.4375 5 85.0 5 0 0 2 19.9 1 1 0 4 69.0 4 0 0 2 34.4 2 0 0 3 44.0 3 0 0 5 73.5 5 0 0 5 64.8 4 1 0 5 75.4 5 0 0 3 63.8 4 -1 0 5 62.9 4 1 0 4 28.6 2 2 1 4 81.1 5 -1 0 3 37.7 2 1 0 5 75.4 5 0 0 3 49.0 3 0 0 1 6.7 0.0 0.0 16.7 2 5 4
9 14 0.2307 0.2327 0.0593 0.4203 0.057 0.0309 0.0346 5.1383 5 85.2 5 0 0 1 20.0 1 0 0 5 69.5 4 1 0 2 34.0 2 0 0 2 54.4 3 -1 0 5 74.2 5 0 0 3 64.2 4 -1 0 5 79.1 5 0 0 2 66.0 4 -2 1 5 54.7 3 2 1 3 26.0 1 2 1 5 84.8 5 0 0 4 39.4 2 2 1 5 71.5 4 1 0 4 48.9 3 1 0 4 26.7 0.0 20.0 50.0 2 5 3
10 15 0.1337 0.4008 0.0802 0.3243 0.061 0.0531 0.0595 5.2378 5 84.3 5 0 0 1 20.4 1 0 0 4 69.9 4 0 0 2 35.1 2 0 0 3 60.4 4 -1 0 5 79.2 5 0 0 3 63.5 4 -1 0 5 75.9 5 0 0 3 65.2 4 -1 0 5 60.0 4 1 0 4 25.6 1 3 1 5 83.6 5 0 0 5 52.2 3 2 1 5 60.5 4 1 0 3 49.7 3 0 0 2 13.3 0.0 0.0 33.3 1 5 3
11 16 0.1061 0.4852 0.0903 0.1012 0.2172 0.0566 0.0634 5.2537 5 83.2 5 0 0 1 21.4 1 0 0 4 69.4 4 0 0 3 36.6 2 1 0 3 61.2 4 -1 0 5 82.8 5 0 0 3 63.7 4 -1 0 5 69.1 4 1 0 3 54.9 3 0 0 5 65.0 4 1 0 4 36.0 2 2 1 3 70.6 4 -1 0 5 69.0 4 1 0 5 54.6 3 2 1 4 51.1 3 1 0 2 13.3 0.0 0.0 33.3 1 5 4
12 19 0.1315 0.4718 0.1505 0.2019 0.0443 0.0701 0.0785 5.3141 5 83.4 5 0 0 2 20.1 1 1 0 5 69.8 4 1 0 1 36.5 2 -1 0 3 60.6 4 -1 0 5 81.5 5 0 0 3 59.1 4 -1 0 5 72.4 5 0 0 3 65.7 4 -1 0 5 64.7 4 1 0 4 23.7 1 3 1 5 84.3 5 0 0 3 56.0 3 0 0 3 56.3 3 0 0 2 50.2 3 -1 0 1 6.7 0.0 0.0 16.7 2 4 4
13 21 0.2478 0.4141 0.0495 0.2104 0.0782 0.0587 0.0657 5.2628 5 84.1 5 0 0 1 20.5 1 0 0 3 69.8 4 -1 0 1 35.5 2 -1 0 1 52.8 3 -2 1 5 80.2 5 0 0 3 65.2 4 -1 0 5 72.6 5 0 0 3 64.4 4 -1 0 4 69.8 4 0 0 4 26.2 1 3 1 5 81.8 5 0 0 4 53.8 3 1 0 5 60.1 4 1 0 3 49.9 3 0 0 2 13.3 0.0 20.0 16.7 2 5 2
14 22 0.0591 0.31 0.0617 0.4099 0.1593 0.034 0.0381 5.1523 5 84.8 5 0 0 1 21.0 1 0 0 5 69.6 4 1 0 1 34.3 2 -1 0 3 64.9 4 -1 0 5 76.5 5 0 0 3 65.1 4 -1 0 5 78.4 5 0 0 2 59.0 4 -2 1 4 48.2 3 1 0 4 33.5 2 2 1 4 76.7 5 -1 0 2 52.7 3 -1 0 5 65.5 4 1 0 2 49.7 3 -1 0 2 13.3 0.0 20.0 16.7 2 4 3
15 24 0.289 0.3339 0.0439 0.0928 0.2404 0.079 0.0885 5.354 5 83.8 5 0 0 1 21.1 1 0 0 4 68.9 4 0 0 2 35.8 2 0 0 3 49.4 3 0 0 5 78.9 5 0 0 3 66.0 4 -1 0 5 69.2 4 1 0 3 54.3 3 0 0 5 67.7 4 1 0 4 37.9 2 2 1 5 69.2 4 1 0 4 58.9 4 0 0 5 64.8 4 1 0 3 50.5 3 0 0 1 6.7 0.0 0.0 16.7 1 3 4
16 25 0.1777 0.3464 0.0669 0.3493 0.0598 0.0737 0.0825 5.3301 5 84.6 5 0 0 2 20.3 1 1 0 5 69.8 4 1 0 2 34.8 2 0 0 2 57.6 3 -1 0 5 77.6 5 0 0 3 64.1 4 -1 0 5 76.8 5 0 0 2 65.5 4 -2 1 5 59.3 4 1 0 2 25.7 1 1 0 5 83.9 5 0 0 4 48.0 3 1 0 5 64.1 4 1 0 3 49.5 3 0 0 1 6.7 0.0 20.0 0.0 2 3 3
17 27 0.2656 0.2651 0.1012 0.2901 0.0779 0.0734 0.0823 5.329 5 84.5 5 0 0 1 19.9 1 0 0 4 69.2 4 0 0 2 35.1 2 0 0 3 52.0 3 0 0 5 75.7 5 0 0 2 61.6 4 -2 1 5 75.4 5 0 0 2 64.5 4 -2 1 5 59.7 4 1 0 2 27.0 1 1 0 5 82.6 5 0 0 4 42.9 3 1 0 5 69.7 4 1 0 2 49.4 3 -1 0 2 13.3 0.0 40.0 0.0 2 3 4
18 28 0.3583 0.1052 0.0443 0.3385 0.1538 0.0711 0.0797 5.3186 4 85.3 5 -1 0 1 20.0 1 0 0 4 68.7 4 0 0 2 33.9 2 0 0 2 45.8 3 -1 0 5 71.4 4 1 0 2 64.9 4 -2 1 5 76.9 5 0 0 1 60.4 4 -3 1 5 55.3 3 2 1 2 33.1 2 0 0 5 77.4 5 0 0 2 36.2 2 0 0 5 79.8 5 0 0 2 48.9 3 -1 0 3 20.0 0.0 40.0 16.7 2 5 1
19 29 0.2833 0.1068 0.0699 0.2295 0.3105 0.0604 0.0676 5.2705 5 84.7 5 0 0 2 20.9 1 1 0 4 68.1 4 0 0 2 34.7 2 0 0 4 50.0 3 1 0 5 72.2 5 0 0 4 64.1 4 0 0 5 73.6 5 0 0 2 50.1 3 -1 0 5 50.5 3 2 1 4 44.4 3 1 0 5 65.1 4 1 0 3 47.2 3 0 0 5 79.0 5 0 0 2 49.9 3 -1 0 1 6.7 0.0 0.0 16.7 1 3 3
20 31 0.1367 0.1877 0.1041 0.2314 0.3401 0.0981 0.1099 5.4395 5 84.3 5 0 0 1 21.3 1 0 0 4 68.2 4 0 0 2 35.1 2 0 0 2 59.2 4 -2 1 5 74.4 5 0 0 3 62.7 4 -1 0 5 73.4 5 0 0 4 47.6 3 1 0 4 45.5 3 1 0 4 46.5 3 1 0 4 62.7 4 0 0 5 55.7 3 2 1 5 73.2 5 0 0 2 50.4 3 -1 0 2 13.3 0.0 20.0 16.7 2 4 4
21 32 0.1176 0.1407 0.0432 0.1886 0.51 0.0971 0.1087 5.4348 5 84.4 5 0 0 1 22.4 1 0 0 5 67.8 4 1 0 2 34.8 2 0 0 3 59.6 4 -1 0 5 73.8 5 0 0 4 67.2 4 0 0 5 71.9 4 1 0 2 37.1 2 0 0 3 41.7 2 1 0 5 59.0 4 1 0 4 49.7 3 1 0 5 64.1 4 1 0 5 75.3 5 0 0 4 51.0 3 1 0 0 0.0 0.0 0.0 0.0 1 3 4
22 33 0.0486 0.5119 0.2059 0.16 0.0735 0.0815 0.0912 5.365 4 82.8 5 -1 0 2 20.3 1 1 0 5 69.6 4 1 0 2 37.2 2 0 0 3 65.9 4 -1 0 4 82.8 5 -1 0 2 56.0 3 -1 0 5 71.2 4 1 0 3 63.3 4 -1 0 5 61.4 4 1 0 4 25.7 1 3 1 3 81.9 5 -2 1 5 61.2 4 1 0 4 53.4 3 1 0 4 50.7 3 1 0 2 13.3 0.0 0.0 33.3 2 5 3
23 35 0.1077 0.5302 0.1895 0.1209 0.0518 0.096 0.1075 5.4301 5 82.8 5 0 0 1 20.2 1 0 0 4 69.7 4 0 0 3 37.3 2 1 0 2 62.1 4 -2 1 5 83.4 5 0 0 3 56.8 3 0 0 5 70.1 4 1 0 2 64.9 4 -2 1 5 67.2 4 1 0 2 23.8 1 1 0 5 83.3 5 0 0 5 60.8 4 1 0 4 52.5 3 1 0 3 50.6 3 0 0 2 13.3 0.0 40.0 0.0 1 5 3
24 37 0.1548 0.3361 0.1997 0.244 0.0654 0.0602 0.0674 5.2695 5 83.7 5 0 0 1 19.7 1 0 0 3 69.1 4 -1 0 3 36.2 2 1 0 2 59.3 4 -2 1 5 77.6 5 0 0 4 55.7 3 1 0 5 74.1 5 0 0 2 64.5 4 -2 1 4 56.1 3 1 0 2 25.9 1 1 0 5 83.4 5 0 0 4 47.5 3 1 0 4 65.0 4 0 0 3 49.8 3 0 0 2 13.3 0.0 40.0 0.0 2 5 3
25 39 0.3213 0.102 0.0475 0.3957 0.1336 0.0867 0.0971 5.3884 5 85.5 5 0 0 1 20.0 1 0 0 4 68.8 4 0 0 2 33.7 2 0 0 1 48.3 3 -2 1 5 70.9 4 1 0 5 64.7 4 1 0 5 78.6 5 0 0 3 61.7 4 -1 0 4 52.2 3 1 0 4 31.9 2 2 1 4 79.2 5 -1 0 2 34.7 2 0 0 5 79.9 5 0 0 2 48.8 3 -1 0 2 13.3 0.0 20.0 16.7 3 4 3
26 40 0.2088 0.4956 0.0523 0.135 0.1084 0.0551 0.0618 5.247 5 83.5 5 0 0 1 20.9 1 0 0 3 69.9 4 -1 0 2 36.2 2 0 0 2 55.0 3 -1 0 5 82.8 5 0 0 4 65.5 4 0 0 5 70.2 4 1 0 3 62.2 4 -1 0 5 73.1 5 0 0 3 27.9 1 2 1 5 78.9 5 0 0 5 61.9 4 1 0 3 54.7 3 0 0 3 50.5 3 0 0 1 6.7 0.0 0.0 16.7 1 5 3
27 42 0.209 0.4824 0.0611 0.1352 0.1124 0.0651 0.073 5.2918 5 83.5 5 0 0 2 20.8 1 1 0 5 69.8 4 1 0 2 36.2 2 0 0 1 55.0 3 -2 1 5 82.5 5 0 0 2 64.9 4 -2 1 5 70.2 4 1 0 3 62.0 4 -1 0 5 72.1 5 0 0 3 28.3 2 1 0 4 78.7 5 -1 0 4 61.2 4 0 0 5 55.5 3 2 1 4 50.5 3 1 0 3 20.0 0.0 40.0 16.7 2 5 3
28 44 0.1392 0.4686 0.057 0.2392 0.0959 0.0308 0.0345 5.1382 5 83.9 5 0 0 1 20.9 1 0 0 4 70.0 4 0 0 2 35.6 2 0 0 3 59.6 4 -1 0 5 81.5 5 0 0 3 65.3 4 -1 0 5 73.2 5 0 0 4 62.9 4 0 0 5 65.8 4 1 0 2 27.6 1 1 0 4 80.4 5 -1 0 2 59.5 4 -2 1 5 56.1 3 2 1 3 50.2 3 0 0 2 13.3 0.0 0.0 33.3 1 5 3
29 46 0.3197 0.3387 0.1345 0.1084 0.0988 0.0676 0.0757 5.3027 5 83.5 5 0 0 2 19.9 1 1 0 5 69.0 4 1 0 3 36.4 2 1 0 2 48.3 3 -1 0 5 78.5 5 0 0 2 59.5 4 -2 1 4 70.1 4 0 0 2 63.0 4 -2 1 4 69.2 4 0 0 4 27.5 1 3 1 3 80.2 5 -2 1 5 49.2 3 2 1 4 65.4 4 0 0 2 50.0 3 -1 0 5 33.3 0.0 40.0 50.0 2 3 4
30 47 0.0952 0.5208 0.16 0.0661 0.1579 0.0665 0.0745 5.298 5 82.7 5 0 0 1 20.8 1 0 0 4 69.4 4 0 0 2 37.4 2 0 0 4 62.3 4 0 0 5 83.7 5 0 0 3 59.1 4 -1 0 5 68.3 4 1 0 1 58.2 4 -3 1 5 66.2 4 1 0 5 31.5 2 3 1 5 75.0 5 0 0 5 67.4 4 1 0 5 52.7 3 2 1 3 51.1 3 0 0 3 20.0 0.0 20.0 33.3 1 5 3
31 48 0.2048 0.3396 0.0459 0.193 0.2166 0.0813 0.0911 5.3643 5 84.1 5 0 0 1 21.1 1 0 0 5 69.2 4 1 0 1 35.4 2 -1 0 3 55.0 3 0 0 5 78.5 5 0 0 3 66.0 4 -1 0 4 72.0 5 -1 0 4 55.6 3 1 0 5 61.7 4 1 0 2 36.6 2 0 0 5 71.4 4 1 0 4 58.1 4 0 0 4 64.1 4 0 0 3 50.3 3 0 0 0 0.0 0.0 0.0 0.0 1 4 4
32 52 0.394 0.1676 0.0536 0.3311 0.0536 0.0734 0.0822 5.3287 5 85.2 5 0 0 1 19.5 1 0 0 4 69.1 4 0 0 2 34.2 2 0 0 2 43.9 3 -1 0 5 72.9 5 0 0 3 63.9 4 -1 0 5 76.8 5 0 0 4 66.8 4 0 0 5 62.1 4 1 0 2 25.5 1 1 0 5 84.9 5 0 0 3 33.6 2 1 0 5 76.4 5 0 0 2 48.7 3 -1 0 0 0.0 0.0 0.0 0.0 1 3 4
33 56 0.217 0.4247 0.1224 0.138 0.098 0.0658 0.0737 5.2948 5 83.4 5 0 0 2 20.3 1 1 0 4 69.4 4 0 0 1 36.4 2 -1 0 2 54.8 3 -1 0 5 80.7 5 0 0 1 60.8 4 -3 1 5 70.6 4 1 0 1 62.7 4 -3 1 5 68.0 4 1 0 4 27.4 1 3 1 5 80.1 5 0 0 5 55.9 3 2 1 5 59.4 4 1 0 3 50.3 3 0 0 4 26.7 0.0 40.0 33.3 3 5 2
34 57 0.3517 0.2122 0.0438 0.1069 0.2854 0.0821 0.092 5.3679 4 84.2 5 -1 0 1 20.9 1 0 0 4 68.4 4 0 0 1 35.4 2 -1 0 2 45.4 3 -1 0 5 75.7 5 0 0 4 65.7 4 0 0 5 69.9 4 1 0 2 51.8 3 -1 0 5 63.5 4 1 0 4 41.6 2 2 1 4 66.2 4 0 0 4 52.8 3 1 0 5 72.7 5 0 0 3 50.3 3 0 0 1 6.7 0.0 0.0 16.7 2 5 1
35 58 0.0974 0.5337 0.0538 0.1094 0.2057 0.0823 0.0922 5.3688 5 83.3 5 0 0 1 21.6 1 0 0 5 69.8 4 1 0 2 36.4 2 0 0 4 61.7 4 0 0 5 84.2 5 0 0 4 66.2 4 0 0 5 69.2 4 1 0 3 55.7 3 0 0 5 68.1 4 1 0 4 35.0 2 2 1 5 71.3 4 1 0 5 71.8 4 1 0 5 51.4 3 2 1 3 51.2 3 0 0 2 13.3 0.0 0.0 33.3 2 5 4
36 59 0.141 0.5393 0.1733 0.0889 0.0574 0.0605 0.0677 5.2709 5 82.7 5 0 0 1 20.2 1 0 0 5 69.7 4 1 0 1 37.4 2 -1 0 3 59.8 4 -1 0 5 83.9 5 0 0 2 57.8 3 -1 0 4 69.1 4 0 0 3 64.7 4 -1 0 5 70.4 4 1 0 3 24.0 1 2 1 5 82.7 5 0 0 4 61.7 4 0 0 3 52.1 3 0 0 3 50.7 3 0 0 1 6.7 0.0 0.0 16.7 1 2 3
37 60 0.1677 0.4547 0.0613 0.2693 0.047 0.0989 0.1108 5.4432 5 84.1 5 0 0 2 20.5 1 1 0 4 70.1 4 0 0 1 35.4 2 -1 0 3 58.1 4 -1 0 5 80.9 5 0 0 4 64.7 4 0 0 5 74.2 5 0 0 3 66.1 4 -1 0 5 66.6 4 1 0 3 24.1 1 2 1 4 84.3 5 -1 0 5 55.0 3 2 1 5 57.2 3 2 1 3 49.9 3 0 0 3 20.0 0.0 0.0 50.0 2 4 3
38 63 0.1121 0.457 0.0477 0.1812 0.202 0.0689 0.0772 5.3087 5 83.7 5 0 0 1 21.5 1 0 0 5 69.6 4 1 0 2 35.8 2 0 0 2 60.9 4 -2 1 5 81.7 5 0 0 3 66.3 4 -1 0 5 71.4 4 1 0 1 56.1 3 -2 1 5 63.5 4 1 0 4 35.2 2 2 1 5 72.1 5 0 0 5 66.0 4 1 0 4 56.3 3 1 0 3 50.8 3 0 0 3 20.0 0.0 40.0 16.7 1 4 3
39 64 0.3545 0.3291 0.0451 0.1384 0.1328 0.0523 0.0586 5.2343 5 84.1 5 0 0 1 20.4 1 0 0 4 69.2 4 0 0 2 35.6 2 0 0 1 45.7 3 -2 1 5 78.4 5 0 0 3 65.2 4 -1 0 5 70.7 4 1 0 2 61.3 4 -2 1 5 71.7 4 1 0 4 30.1 2 2 1 5 77.6 5 0 0 3 50.9 3 0 0 5 65.8 4 1 0 2 49.9 3 -1 0 3 20.0 0.0 40.0 16.7 1 4 2
40 65 0.2107 0.4138 0.0642 0.2624 0.0489 0.064 0.0716 5.2866 5 84.2 5 0 0 2 20.3 1 1 0 5 69.9 4 1 0 1 35.4 2 -1 0 2 55.4 3 -1 0 5 79.8 5 0 0 3 64.3 4 -1 0 5 74.1 5 0 0 3 66.1 4 -1 0 4 66.8 4 0 0 2 24.3 1 1 0 5 84.2 5 0 0 4 51.9 3 1 0 5 60.0 4 1 0 3 49.8 3 0 0 0 0.0 0.0 0.0 0.0 1 4 3
41 66 0.1699 0.4127 0.0765 0.2775 0.0634 0.0615 0.0689 5.2754 5 84.1 5 0 0 1 20.4 1 0 0 4 69.8 4 0 0 2 35.4 2 0 0 2 58.0 3 -1 0 5 79.7 5 0 0 4 63.7 4 0 0 5 74.6 5 0 0 3 65.1 4 -1 0 5 63.6 4 1 0 2 25.5 1 1 0 5 83.2 5 0 0 5 53.0 3 2 1 5 59.9 4 1 0 2 49.8 3 -1 0 1 6.7 0.0 0.0 16.7 1 3 4
42 67 0.2043 0.5007 0.1101 0.1016 0.0833 0.0798 0.0894 5.3577 5 83.2 5 0 0 1 20.5 1 0 0 4 69.7 4 0 0 2 36.8 2 0 0 3 55.5 3 0 0 5 83.0 5 0 0 3 61.7 4 -1 0 5 69.4 4 1 0 3 63.5 4 -1 0 5 72.7 5 0 0 4 26.0 1 3 1 5 80.8 5 0 0 5 60.5 4 1 0 5 54.6 3 2 1 2 50.5 3 -1 0 2 13.3 0.0 0.0 33.3 1 4 2
43 68 0.4089 0.3172 0.0842 0.1287 0.061 0.0279 0.0313 5.125 5 84.0 5 0 0 1 19.7 1 0 0 4 69.2 4 0 0 2 35.9 2 0 0 2 42.6 3 -1 0 5 77.9 5 0 0 2 62.3 4 -2 1 5 70.7 4 1 0 3 65.9 4 -1 0 5 74.3 5 0 0 3 24.8 1 2 1 5 83.1 5 0 0 5 44.8 3 2 1 4 67.1 4 0 0 2 49.6 3 -1 0 3 20.0 0.0 20.0 33.3 2 5 4
44 71 0.223 0.1238 0.0675 0.2386 0.347 0.0875 0.098 5.3919 5 84.7 5 0 0 2 21.2 1 1 0 4 68.1 4 0 0 3 34.7 2 1 0 2 53.7 3 -1 0 5 72.7 5 0 0 4 64.6 4 0 0 5 73.8 5 0 0 2 47.7 3 -1 0 5 47.4 3 2 1 5 47.1 3 2 1 5 62.3 4 1 0 5 51.3 3 2 1 5 77.5 5 0 0 3 50.1 3 0 0 3 20.0 0.0 0.0 50.0 2 3 2
45 72 0.2493 0.2701 0.0697 0.3305 0.0804 0.0247 0.0276 5.1106 5 84.8 5 0 0 2 20.1 1 1 0 5 69.4 4 1 0 2 34.6 2 0 0 2 53.0 3 -1 0 5 75.7 5 0 0 3 63.7 4 -1 0 5 76.4 5 0 0 2 64.5 4 -2 1 5 59.0 4 1 0 2 27.3 1 1 0 5 82.5 5 0 0 3 43.5 3 0 0 4 69.2 4 0 0 3 49.3 3 0 0 1 6.7 0.0 20.0 0.0 1 5 3
46 73 0.0889 0.5115 0.0559 0.2126 0.1311 0.0803 0.0899 5.3597 5 83.7 5 0 0 1 21.2 1 0 0 4 70.0 4 0 0 3 35.9 2 1 0 3 62.7 4 -1 0 5 82.9 5 0 0 4 65.7 4 0 0 5 72.3 5 0 0 3 60.5 4 -1 0 5 65.4 4 1 0 3 30.0 2 1 0 5 77.5 5 0 0 5 65.2 4 1 0 5 53.0 3 2 1 2 50.6 3 -1 0 1 6.7 0.0 0.0 16.7 1 3 4
47 74 0.2114 0.513 0.09 0.1289 0.0568 0.0747 0.0837 5.3346 5 83.3 5 0 0 1 20.4 1 0 0 4 69.9 4 0 0 2 36.5 2 0 0 3 55.1 3 0 0 5 83.1 5 0 0 4 62.9 4 0 0 3 70.1 4 -1 0 3 65.3 4 -1 0 5 74.2 5 0 0 1 24.1 1 0 0 5 82.8 5 0 0 5 59.6 4 1 0 5 53.8 3 2 1 2 50.4 3 -1 0 1 6.7 0.0 0.0 16.7 2 4 5
48 78 0.3661 0.3316 0.0521 0.1615 0.0888 0.0341 0.0381 5.1526 5 84.1 5 0 0 1 20.1 1 0 0 4 69.3 4 0 0 2 35.6 2 0 0 1 45.2 3 -2 1 5 78.2 5 0 0 3 64.6 4 -1 0 5 71.5 4 1 0 2 64.1 4 -2 1 5 72.5 5 0 0 2 26.9 1 1 0 5 81.0 5 0 0 2 48.0 3 -1 0 3 65.8 4 -1 0 2 49.7 3 -1 0 2 13.3 0.0 40.0 0.0 2 3 3
49 79 0.1251 0.5025 0.0434 0.1914 0.1375 0.0901 0.1009 5.4034 5 83.7 5 0 0 2 21.2 1 1 0 5 70.0 4 1 0 2 35.9 2 0 0 2 60.3 4 -2 1 5 82.8 5 0 0 4 66.4 4 0 0 5 71.7 4 1 0 3 60.2 4 -1 0 4 67.5 4 0 0 4 30.4 2 2 1 5 76.9 5 0 0 5 64.8 4 1 0 5 53.7 3 2 1 2 50.6 3 -1 0 3 20.0 0.0 20.0 33.3 2 4 2
50 83 0.2858 0.2252 0.0432 0.3514 0.0944 0.0949 0.1063 5.4251 5 85.1 5 0 0 2 20.1 1 1 0 5 69.3 4 1 0 2 34.2 2 0 0 1 50.6 3 -2 1 5 74.4 5 0 0 3 65.2 4 -1 0 5 77.1 5 0 0 3 63.9 4 -1 0 5 58.6 4 1 0 4 28.5 2 2 1 5 81.6 5 0 0 3 41.1 2 1 0 5 72.1 5 0 0 4 49.1 3 1 0 2 13.3 0.0 20.0 16.7 2 4 3
51 85 0.338 0.2551 0.051 0.2882 0.0676 0.0261 0.0292 5.1168 5 84.8 5 0 0 1 19.9 1 0 0 5 69.3 4 1 0 2 34.7 2 0 0 3 47.3 3 0 0 5 75.5 5 0 0 4 64.5 4 0 0 5 75.3 5 0 0 3 65.6 4 -1 0 5 64.6 4 1 0 2 26.1 1 1 0 5 83.4 5 0 0 5 41.2 2 3 1 5 70.6 4 1 0 4 49.2 3 1 0 1 6.7 0.0 0.0 16.7 2 4 3
52 93 0.0441 0.3873 0.1537 0.1947 0.2203 0.0758 0.0849 5.3394 5 83.4 5 0 0 1 21.0 1 0 0 4 69.0 4 0 0 2 36.3 2 0 0 3 65.6 4 -1 0 5 79.6 5 0 0 3 59.7 4 -1 0 4 72.2 5 -1 0 3 54.4 3 0 0 4 52.7 3 1 0 5 37.0 2 3 1 5 71.2 4 1 0 5 62.3 4 1 0 5 60.6 4 1 0 4 50.8 3 1 0 1 6.7 0.0 0.0 16.7 1 5 5
53 96 0.3196 0.3196 0.046 0.1471 0.1678 0.0337 0.0377 5.1508 4 84.1 5 -1 0 1 20.6 1 0 0 3 69.1 4 -1 0 2 35.5 2 0 0 3 47.8 3 0 0 5 78.1 5 0 0 4 65.4 4 0 0 5 70.9 4 1 0 2 59.0 4 -2 1 5 68.5 4 1 0 3 32.8 2 1 0 5 75.0 5 0 0 5 52.7 3 2 1 5 66.1 4 1 0 3 50.1 3 0 0 2 13.3 0.0 20.0 16.7 1 4 3
54 98 0.2695 0.4456 0.1407 0.08 0.0643 0.0447 0.0501 5.2002 5 83.1 5 0 0 1 20.0 1 0 0 4 69.4 4 0 0 1 36.9 2 -1 0 1 51.6 3 -2 1 5 81.5 5 0 0 1 59.3 4 -3 1 5 69.1 4 1 0 2 64.8 4 -2 1 4 73.2 5 -1 0 3 24.6 1 2 1 5 82.4 5 0 0 5 54.8 3 2 1 5 58.5 4 1 0 3 50.3 3 0 0 5 33.3 0.0 60.0 33.3 2 4 3
55 99 0.1044 0.1685 0.2591 0.4215 0.0464 0.049 0.0548 5.2193 4 84.4 5 -1 0 2 19.1 1 1 0 4 68.6 4 0 0 3 35.2 2 1 0 3 63.2 4 -1 0 5 72.0 5 0 0 4 51.6 3 1 0 5 79.7 5 0 0 3 65.6 4 -1 0 4 39.4 2 2 1 3 25.8 1 2 1 5 86.2 5 0 0 4 34.3 2 2 1 5 75.5 5 0 0 2 49.0 3 -1 0 3 20.0 0.0 0.0 50.0 2 5 5
56 101 0.4547 0.0746 0.1042 0.2146 0.1518 0.0782 0.0876 5.3505 5 84.7 5 0 0 1 19.5 1 0 0 4 68.1 4 0 0 1 34.9 2 -1 0 3 39.7 2 1 0 5 71.0 4 1 0 2 60.7 4 -2 1 5 73.7 5 0 0 3 60.5 4 -1 0 5 59.9 4 1 0 2 32.5 2 0 0 5 77.3 5 0 0 4 33.2 2 2 1 5 82.4 5 0 0 3 49.1 3 0 0 2 13.3 0.0 20.0 16.7 1 4 2
57 103 0.0711 0.1464 0.0836 0.4628 0.2361 0.0609 0.0683 5.273 5 85.3 5 0 0 2 20.9 1 1 0 4 68.8 4 0 0 2 33.7 2 0 0 3 64.1 4 -1 0 5 71.9 4 1 0 3 63.7 4 -1 0 5 80.2 5 0 0 3 54.3 3 0 0 4 37.1 2 2 1 5 39.9 2 3 1 5 71.6 4 1 0 4 46.1 3 1 0 5 75.7 5 0 0 2 49.5 3 -1 0 2 13.3 0.0 0.0 33.3 2 4 3