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how should i choose random_state to got precise consequence

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0

When I use random_state=10. y_test[1] worked, but y_test[2 or 3 or...] did not.
So I tried to use other random_state, like 42 or 20, but upon changing, random_state.y_test[10] did not work too.

I'm not sure if the problem comes from y_test or from random_state.
And i wanna try to figure out why changing the value of random_state changes the precision of r2_score as well.

Thanks a lot

x = df[['mileage','engine_power','feature_1','feature_2','feature_3','feature_4','feature_5','feature_6','feature_7','feature_8','car_type']]
y = df['price']

x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=10)

lr =LinearRegression()
lr.fit(x_train,y_train)
predict_lr = lr.predict(x_test)

print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
print('real value y_test[2]:'+str(y_test[2])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
print('scort:',lr.score(x_test,y_test))
print('r2 score:',r2_score(y_test,predict_lr))

>>>real value y_test[1]:69700 predict:[12659.21124934]
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-48-e556e02e9019> in <module>
 3 predict_lr = lr.predict(x_test)
 4 print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
----> 5 print('real value y_test[2]:'+str(y_test[5])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
 6 
 7 print('scort:',lr.score(x_test,y_test))
KeyError: 5

python-3.x random-seed

share|improve this question

edited Mar 29 at 4:44

kerwei

1,5191920

asked Mar 24 at 10:04

韋辰姜韋辰姜

12

add a comment | 

0

When I use random_state=10. y_test[1] worked, but y_test[2 or 3 or...] did not.
So I tried to use other random_state, like 42 or 20, but upon changing, random_state.y_test[10] did not work too.

I'm not sure if the problem comes from y_test or from random_state.
And i wanna try to figure out why changing the value of random_state changes the precision of r2_score as well.

Thanks a lot

x = df[['mileage','engine_power','feature_1','feature_2','feature_3','feature_4','feature_5','feature_6','feature_7','feature_8','car_type']]
y = df['price']

x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=10)

lr =LinearRegression()
lr.fit(x_train,y_train)
predict_lr = lr.predict(x_test)

print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
print('real value y_test[2]:'+str(y_test[2])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
print('scort:',lr.score(x_test,y_test))
print('r2 score:',r2_score(y_test,predict_lr))

>>>real value y_test[1]:69700 predict:[12659.21124934]
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-48-e556e02e9019> in <module>
 3 predict_lr = lr.predict(x_test)
 4 print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
----> 5 print('real value y_test[2]:'+str(y_test[5])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
 6 
 7 print('scort:',lr.score(x_test,y_test))
KeyError: 5

python-3.x random-seed

share|improve this question

edited Mar 29 at 4:44

kerwei

1,5191920

asked Mar 24 at 10:04

韋辰姜韋辰姜

12

add a comment | 

When I use random_state=10. y_test[1] worked, but y_test[2 or 3 or...] did not.
So I tried to use other random_state, like 42 or 20, but upon changing, random_state.y_test[10] did not work too.

I'm not sure if the problem comes from y_test or from random_state.
And i wanna try to figure out why changing the value of random_state changes the precision of r2_score as well.

Thanks a lot

x = df[['mileage','engine_power','feature_1','feature_2','feature_3','feature_4','feature_5','feature_6','feature_7','feature_8','car_type']]
y = df['price']

x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=10)

lr =LinearRegression()
lr.fit(x_train,y_train)
predict_lr = lr.predict(x_test)

print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
print('real value y_test[2]:'+str(y_test[2])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
print('scort:',lr.score(x_test,y_test))
print('r2 score:',r2_score(y_test,predict_lr))

>>>real value y_test[1]:69700 predict:[12659.21124934]
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-48-e556e02e9019> in <module>
 3 predict_lr = lr.predict(x_test)
 4 print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
----> 5 print('real value y_test[2]:'+str(y_test[5])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
 6 
 7 print('scort:',lr.score(x_test,y_test))
KeyError: 5

python-3.x random-seed

share|improve this question

edited Mar 29 at 4:44

kerwei

1,5191920

asked Mar 24 at 10:04

韋辰姜韋辰姜

12

x = df[['mileage','engine_power','feature_1','feature_2','feature_3','feature_4','feature_5','feature_6','feature_7','feature_8','car_type']]
y = df['price']

x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=10)

lr =LinearRegression()
lr.fit(x_train,y_train)
predict_lr = lr.predict(x_test)

print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
print('real value y_test[2]:'+str(y_test[2])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
print('scort:',lr.score(x_test,y_test))
print('r2 score:',r2_score(y_test,predict_lr))

>>>real value y_test[1]:69700 predict:[12659.21124934]
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-48-e556e02e9019> in <module>
 3 predict_lr = lr.predict(x_test)
 4 print('real value y_test[1]:'+str(y_test[1])+' predict:'+str(lr.predict(x_test.iloc[[1],:])))
----> 5 print('real value y_test[2]:'+str(y_test[5])+' predict:'+str(lr.predict(x_test.iloc[[2],:])))
 6 
 7 print('scort:',lr.score(x_test,y_test))
KeyError: 5

share|improve this question

edited Mar 29 at 4:44

kerwei

1,5191920

asked Mar 24 at 10:04

韋辰姜韋辰姜

12

share|improve this question

edited Mar 29 at 4:44

kerwei

1,5191920

asked Mar 24 at 10:04

韋辰姜韋辰姜

12

edited Mar 29 at 4:44

kerwei

1,5191920

edited Mar 29 at 4:44

kerwei

1,5191920

asked Mar 24 at 10:04

韋辰姜韋辰姜

12

asked Mar 24 at 10:04

韋辰姜韋辰姜

12