def index_prediction():
if request.method == 'POST':
data = request.form
data = data.to_dict()
hasil = prediction_data(data)
return render_template('result.html',hasil_prediction=hasil)
return render_template('prediction.html',data_type=data_type)
def prediction():
if request.method == 'POST':
data = request.form
data = data.to_dict()
data['MonthlyIncome'] = int(data['MonthlyIncome'])
data['NumCompaniesWorked'] = int(data['NumCompaniesWorked'])
data['Age'] = int(data['Age'])
data['DistanceFromHome'] = int(data['DistanceFromHome'])
data['TotalWorkingYears'] = int(data['TotalWorkingYears'])
data['TrainingTimesLastYear'] = int(data['TrainingTimesLastYear'])
data['YearsAtCompany'] = int(data['YearsAtCompany'])
data['YearsSinceLastPromotion'] = int(data['YearsSinceLastPromotion'])
data['YearsWithCurrManager'] = int(data['YearsWithCurrManager'])
data['JobLevel'] = int(data['JobLevel'])
data['StockOptionLevel'] = int(data['StockOptionLevel'])
data['JobInvolvement'] = int(data['JobInvolvement'])
data['EnvironmentSatisfaction'] = int(data['EnvironmentSatisfaction'])
data['JobSatisfaction'] = int(data['JobSatisfaction'])
data['WorkLifeBalance'] = int(data['WorkLifeBalance'])
data['PerformanceRating'] = int(data['PerformanceRating'])
data['PercentSalaryHike'] = int(data['PercentSalaryHike'])
hasil = prediction_data(data)
# hasil_pred = []
# if hasil == 0:
# hasil_pred.append('No')
# elif hasil == 1:
# hasil_pred.append('Yes')
return render_template('result.html', hasil_prediction=hasil)
return render_template('prediction.html', data_travel=BusinessTravel, data_dept=sorted(Department),
data_edu = Education, data_field=sorted(EducationField), data_gender=Gender, data_role=sorted(JobRole), data_marital=MaritalStatus )
def prediction():
if request.method == "POST":
data = request.form
data = data.to_dict()
hasil = prediction_data(data)
hasil2 = feature_importances(data)
data['square'] = float(data['square'])
data['livingRoom'] = int(data['livingRoom'])
data['drawingRoom'] = int(data['drawingRoom'])
data['kitchen'] = int(data['kitchen'])
data['bathRoom'] = int(data['bathRoom'])
data['floor'] = int(data['floor'])
data['buildingType'] = str(data['buildingType'])
data['constructionTime'] = int(data['constructionTime'])
data['renovationCondition'] = str(data['renovationCondition'])
data['buildingStructure'] = str(data['buildingStructure'])
data['ladderRatio'] = float(data['ladderRatio'])
data['elevator'] = str(data['elevator'])
data['subway'] = str(data['subway'])
data['district'] = str(data['district'])
return render_template('result.html',
hasil_prediction=hasil,
feature=hasil2)
return render_template('prediction.html',
data_distrik=sorted(distrik),
data_structure=sorted(bstructure),
data_type=sorted(btype),
datarenov=sorted(renovCon),
data_subway=sorted(subway2),
data_elevator=sorted(elevator),
data_time=sorted(conTime))
def index_prediction():
if request.method == "POST":
data = request.form ## immutablemultidict
data = data.to_dict()
data['systolic'] = int(data['systolic'])
data['bmi'] = float(data['bmi'])
data['arm_circumference'] = float(data['arm_circumference'])
data['WH_ratio'] = float(data['WH_ratio'])
#hasil = data.to_dict()
hasil = prediction_data(data)
return render_template('result.html', hasil_prediction=hasil)
#return render_template('result.html', hasil_prediction=data)
return render_template('prediction.html', )
def index_predicition():
item = list_item_identifier()
if request.method == 'POST':
data = request.form ## immutablemultidict
data = data.to_dict()
data['Item_Identifier'] = item_sales_avg(data['Item_Identifier'])
data['Outlet_Identifier'] = outlet_sales_avg(data['Outlet_Identifier'])
data['Item_MRP'] = float(data['Item_MRP'])
hasil = prediction_data(data)
return render_template('result.html', hasil_prediction=hasil)
return render_template('home.html',
data_location_type=sorted(outlet_location_type),
data_item_fat=sorted(item_fat_content),
data_item_type=sorted(item_type),
data_outlet_identifier=sorted(outlet_identifier),
data_outlet_type=sorted(outlet_type),
data_item_identifier=sorted(item))
def prediction():
if request.method == "POST":
data = request.form
data = data.to_dict()
# hasil2 = feature_importances(data)
data['tenure'] = float(data['tenure'])
data['MonthlyCharges'] = float(data['MonthlyCharges'])
data['TotalCharges'] = float(data['TotalCharges'])
# gender
if data['gender'] == 'Male':
tmpgender = 1
else:
tmpgender = 0
data['gender'] = tmpgender
# seniorCitizen
if data['SeniorCitizen'] == 'Yes':
tmpSenior = 1
else:
tmpSenior = 0
data['SeniorCitizen'] = tmpSenior
# Partner
if data['Partner'] == 'Yes':
tmpPartner = 1
else:
tmpPartner = 0
data['Partner'] = tmpPartner
#Phone
if data['PhoneService'] == 'Yes':
tmpPhone = 1
else:
tmpPhone = 0
data['PhoneService'] = tmpPhone
if data['StreamingTV'] == 'Yes':
tmpTV = 1
else:
tmpTV = 0
data['StreamingTV'] = tmpTV
if data['InternetService'] == 'Yes':
tmpInet = 1
else:
tmpInet = 0
data['InternetService'] = tmpInet
if data['PaperlessBilling'] == 'Yes':
tmpBilling = 1
else:
tmpBilling = 0
data['PaperlessBilling'] = tmpBilling
hasil = prediction_data(data)
hasil2 = prediction_proba(data)
return render_template('result.html',
hasil_prediction=hasil,
hasil_proba=hasil2)
return render_template('prediction.html',
data_gender=gender,
data_decision=decision)