def existing_preiction(i):
discharge = data.Discharge[i]
floodrunoff = data['flood runoff'][i]
dailyrunoff = data['daily runoff'][i]
weeklyrunoff = data['weekly runoff'][i]
Flood = data.Flood[i]
fd = [discharge, floodrunoff, dailyrunoff, weeklyrunoff]
result, mae, classification_metrics = model.flood_classifier(
filename, fd)
discharge = format(round(discharge, 2))
floodrunoff = format(round(floodrunoff, 2))
dailyrunoff = format(round(dailyrunoff, 2))
weeklyrunoff = format(round(weeklyrunoff, 2))
mae = format(round(mae, 2))
Predicted = ''
actual = ''
if result == 0:
predicted = 'Normal'
else:
predicted = 'High'
if Flood == 0:
actual = 'Normal'
else:
actual = 'High'
print("Features-")
print("Discharge-", discharge, 'floodrunoff-', floodrunoff,
'dailyrunoff-', dailyrunoff, 'weeklyrunoff-', weeklyrunoff)
print("Actual-", Flood)
print("Predicted-", result)
print("Mean-Absolute-Error :", mae)
results = {
"discharge": discharge,
"floodrunoff": floodrunoff,
"dailyrunoff": dailyrunoff,
"weeklyrunoff": weeklyrunoff,
"meanabsoluteerrorr": mae,
"predicted": predicted,
"actualflood": actual
}
# print("############",type(floodrunoff),type(mae),"#####################################")
return results, classification_metrics, data, fut
def future_prediction(i):
discharge = data1.Discharge[i]
floodrunoff = data1['flood runoff'][i]
dailyrunoff = data1['daily runoff'][i]
weeklyrunoff = data1['weekly runoff'][i]
fd = [discharge, floodrunoff, dailyrunoff, weeklyrunoff]
result, mae = model.flood_classifier(filename, fd)
discharge = format(round(float(discharge), 2))
floodrunoff = format(round(float(floodrunoff), 2))
dailyrunoff = format(round(float(dailyrunoff), 2))
weeklyrunoff = format(round(float(weeklyrunoff), 2))
mae = format(round(mae, 2))
print("############floodrunoff-", type(floodrunoff), " Mae-", type(mae),
"#####################################")
print("Predicted Features-")
print("Discharge-", discharge, 'floodrunoff-', floodrunoff, 'dailyrunoff-', dailyrunoff,
'weeklyrunoff-',
weeklyrunoff)
print("Predicted-", result)
print("Mean-Absolute-Error :", mae)
Predicted = ''
actual = ''
if result == 0:
predicted = 'Normal'
else:
predicted = 'High'
results = {
"discharge": discharge,
"floodrunoff": floodrunoff,
"dailyrunoff": dailyrunoff,
"weeklyrunoff": weeklyrunoff,
"meanabsoluteerrorr": 'NIL',
"predicted": predicted,
"actualflood": 'NIL'
}
return results