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prediction_prob=model.predict_proba(X_SA) # This function return an array with lists
df_SA['FSM']= prediction_prob[:,1]
not working for me.
The text was updated successfully, but these errors were encountered:
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In order to map the flood susceptibility we need to cacluate the probability of being flooded
prediction_prob=model.predict_proba(X_SA) # This function return an array with lists
each list has two values [probability of being not flooded , probability of being flooded]
We need only the probablity of being flooded
We need to add the value coressponding to each point
df_SA['FSM']= prediction_prob[:,1]
not working for me.
The text was updated successfully, but these errors were encountered: