Found input variables with inconsistent numbers of samples

Question

Hi All,

I am implementing linear regression by Extract the rating as to your target variable ‘y’ and all numerical parameters as your predictors ‘x’. Please find the below steps taken by me
read the CSV into data frame df
extracted 'rating' into y

y=df['rating'].values
df_1=df
df_1.drop(['name','mfr','type','ManufacturerFullName'], axis=1, inplace=True)
df_1.drop(['rating'], axis=1, inplace=True)
x=df_1.values
from sklearn.model_selection import train_test_split
x_train, y_train, x_test, y_test=train_test_split(x,y_rating,test_size=0.75)
from sklearn.linear_model import LinearRegression
model=LinearRegression()
model.fit(x_train,y_train)

Answer 1

Hi@sagar,

You have converted your Dataframe into an array. You don't need to do this. In your code, you don't have y_rating. But you used this variable. I suggest you first, design your model in your mind what you want. If you will get the same issue, then paste your full code along with the error.