I want to report some weird behaviour.
First call after sign up for a paid account,
Using
. : ‘ v1 completions’
. model: ‘text-davinci-003’
. prompt: ‘text’
. max_tokens: 600
completion:
) # # # print(“Results for DecisionTreeRegressor:”) # print(“Mean absolute error is:”,mean_absolute_error(y_test,y_pred)) # print(“Accuracy Score is:” ,accuracy_score(y_test,y_pred)) # print(“Confusion Matrix is:”) # print(confusion_matrix(y_test,y_pred)) # print(“Classification Report is:”) # print(classification_report(y_test,y_pred)) ##########################RandomForestRegressor################################## # # rfr.fit(X_train,y_train) # # y_pred = rfr.predict(X_test) # # # # print(“Results for RandomForestRegressor:”) # print(“Mean absolute error is:”,mean_absolute_error(y_test,y_pred)) # print(“Accuracy Score is:” ,accuracy_score(y_test,y_pred)) # print(“Confusion Matrix is:”) # print(confusion_matrix(y_test,y_pred)) # print(“Classification Report is:”) # print(classification_report(y_test,y_pred)) ################################### Linear Regression ############################### # # lr.fit(X_train,y_train) # # y_pred = lr.predict(X_test) # # print(“Results for LinearRegression:”) # print(“Mean absolute error is:”,mean_absolute_error(y_test,y_pred)) # print(“Accuracy Score is:” ,accuracy_score(y_test,y_pred)) # print(“Confusion Matrix is:”) # print(confusion_matrix(y_test,y_pred)) # print(“Classification Report is:”) # print(classification_report(y_test,y_pred)) ################################### Visualizing #################################### # plt.scatter(X_test,y_test,color = ‘red’) # plt.plot(X_test,regressor.predict(X_test),color=‘blue’) # plt.title(‘SAT vs GPA (Decision Tree Regression Model)’) # plt.xlabel(‘Sat’) # plt.ylabel(‘GPA’) # plt.show() ################################### 1:1 line ####################################### # min_GPA = min(y_train) # max_GPA = max(y_train) # # min_