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# -*- coding: utf-8 -*-
"""Interpretation functions."""
def Q_analysis(Q):
"""
Analysis Q(Yule's Q) with interpretation table.
:param Q: Yule's Q
:type Q: float
:return: interpretation result as str
"""
try:
if Q < 0.25:
return "Negligible"
if Q >= 0.25 and Q < 0.5:
return "Weak"
if Q >= 0.5 and Q < 0.75:
return "Moderate"
return "Strong"
except Exception:
return "None"
def MCC_analysis(MCC):
"""
Analysis MCC(Matthews correlation coefficient) with interpretation table.
:param MCC: Matthews correlation coefficient
:type MCC: float
:return: interpretation result as str
"""
try:
if MCC < 0.3:
return "Negligible"
if MCC >= 0.3 and MCC < 0.5:
return "Weak"
if MCC >= 0.5 and MCC < 0.7:
return "Moderate"
if MCC >= 0.7 and MCC < 0.9:
return "Strong"
return "Very Strong"
except Exception: # pragma: no cover
return "None"
def NLR_analysis(NLR):
"""
Analysis NLR(Negative likelihood ratio) with interpretation table.
:param NLR: negative likelihood ratio
:type NLR: float
:return: interpretation result as str
"""
try:
if NLR < 0.1:
return "Good"
if NLR >= 0.1 and NLR < 0.2:
return "Fair"
if NLR >= 0.2 and NLR < 0.5:
return "Poor"
return "Negligible"
except Exception: # pragma: no cover
return "None"
def V_analysis(V):
"""
Analysis Cramer's V with interpretation table.
:param V: Cramer's V
:type V: float
:return: interpretation result as str
"""
try:
if V < 0.1:
return "Negligible"
if V >= 0.1 and V < 0.2:
return "Weak"
if V >= 0.2 and V < 0.4:
return "Moderate"
if V >= 0.4 and V < 0.6:
return "Relatively Strong"
if V >= 0.6 and V < 0.8:
return "Strong"
return "Very Strong"
except Exception: # pragma: no cover
return "None"
def PLR_analysis(PLR):
"""
Analysis PLR(Positive likelihood ratio) with interpretation table.
:param PLR: positive likelihood ratio
:type PLR : float
:return: interpretation result as str
"""
try:
if PLR < 1:
return "Negligible"
if PLR >= 1 and PLR < 5:
return "Poor"
if PLR >= 5 and PLR < 10:
return "Fair"
return "Good"
except Exception: # pragma: no cover
return "None"
def DP_analysis(DP):
"""
Analysis DP with interpretation table.
:param DP: discriminant power
:type DP : float
:return: interpretation result as str
"""
try:
if DP < 1:
return "Poor"
if DP >= 1 and DP < 2:
return "Limited"
if DP >= 2 and DP < 3:
return "Fair"
return "Good"
except Exception: # pragma: no cover
return "None"
def AUC_analysis(AUC):
"""
Analysis AUC with interpretation table.
:param AUC: area under the ROC curve
:type AUC : float
:return: interpretation result as str
"""
try:
if AUC < 0.6:
return "Poor"
if AUC >= 0.6 and AUC < 0.7:
return "Fair"
if AUC >= 0.7 and AUC < 0.8:
return "Good"
if AUC >= 0.8 and AUC < 0.9:
return "Very Good"
return "Excellent"
except Exception: # pragma: no cover
return "None"
def kappa_analysis_cicchetti(kappa):
"""
Analysis kappa number with Cicchetti benchmark.
:param kappa: kappa number
:type kappa : float
:return: strength of agreement as str
"""
try:
if kappa < 0.4:
return "Poor"
if kappa >= 0.4 and kappa < 0.59:
return "Fair"
if kappa >= 0.59 and kappa < 0.74:
return "Good"
if kappa >= 0.74 and kappa <= 1:
return "Excellent"
return "None"
except Exception: # pragma: no cover
return "None"
def kappa_analysis_koch(kappa):
"""
Analysis kappa number with Landis-Koch benchmark.
:param kappa: kappa number
:type kappa : float
:return: strength of agreement as str
"""
try:
if kappa < 0:
return "Poor"
if kappa >= 0 and kappa < 0.2:
return "Slight"
if kappa >= 0.20 and kappa < 0.4:
return "Fair"
if kappa >= 0.40 and kappa < 0.6:
return "Moderate"
if kappa >= 0.60 and kappa < 0.8:
return "Substantial"
if kappa >= 0.80 and kappa <= 1:
return "Almost Perfect"
return "None"
except Exception: # pragma: no cover
return "None"
def kappa_analysis_fleiss(kappa):
"""
Analysis kappa number with Fleiss benchmark.
:param kappa: kappa number
:type kappa : float
:return: strength of agreement as str
"""
try:
if kappa < 0.4:
return "Poor"
if kappa >= 0.4 and kappa < 0.75:
return "Intermediate to Good"
return "Excellent"
except Exception: # pragma: no cover
return "None"
def kappa_analysis_altman(kappa):
"""
Analysis kappa number with Altman benchmark.
:param kappa: kappa number
:type kappa : float
:return: strength of agreement as str
"""
try:
if kappa < 0.2:
return "Poor"
if kappa >= 0.20 and kappa < 0.4:
return "Fair"
if kappa >= 0.40 and kappa < 0.6:
return "Moderate"
if kappa >= 0.60 and kappa < 0.8:
return "Good"
if kappa >= 0.80 and kappa <= 1:
return "Very Good"
return "None"
except Exception: # pragma: no cover
return "None"
def lambda_analysis(lambda_):
"""
Analysis of lambda (A or B) value with interpretation table.
:param lambda_: lambda (A or B) value
:type lambda_ : float
:return: interpretation result as str
"""
try:
if 0 < lambda_ < 0.2:
return "Very Weak"
if 0.2 <= lambda_ < 0.4:
return "Weak"
if 0.4 <= lambda_ < 0.6:
return "Moderate"
if 0.6 <= lambda_ < 0.8:
return "Strong"
if 0.8 <= lambda_ < 1:
return "Very Strong"
if lambda_ == 1:
return "Perfect"
return "None"
except Exception: # pragma: no cover
return "None"
def alpha_analysis(alpha):
"""
Analysis of Krippendorff's alpha value with interpretation table.
:param alpha: Krippendorff's alpha value
:type alpha: float
:return: interpretation result as str
"""
try:
if alpha < 0.667:
return "Low"
if 0.667 <= alpha < 0.8:
return "Tentative"
if alpha >= 0.8:
return "High"
return "None"
except Exception: # pragma: no cover
return "None"
def pearson_C_analysis(pearson_C):
"""
Analysis of Pearson's coefficient value with interpretation table.
:param pearson_C: Pearson's coefficient value
:type pearson_C: float
:return: interpretation result as str
"""
try:
if 0 < pearson_C < 0.1:
return "Not Appreciable"
if 0.1 <= pearson_C < 0.2:
return "Weak"
if 0.2 <= pearson_C < 0.3:
return "Medium"
if pearson_C >= 0.3:
return "Strong"
return "None"
except Exception: # pragma: no cover
return "None"
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