Found input variables with inconsistent numbers of samples: [100, 300]

I am a beginner in this field and was trying to model the data set as per logistic regression. The code is as follows:

import numpy as np from matplotlib import pyplot as plt import pandas as pnd from sklearn.preprocessing import Imputer, LabelEncoder, OneHotEncoder, StandardScaler from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression from sklearn.metrics import confusion_matrix # Import the dataset data_set = pnd.read_csv("/Users/Siddharth/PycharmProjects/Deep_Learning/Classification Template/Social_Network_Ads.csv") X = data_set.iloc[:, [2,3]].values Y = data_set.iloc[:, 4].values # Splitting the set into training set and testing set x_train, x_test, y_train, y_test = train_test_split(X, Y, test_size=0.25, random_state=0) # Scaling the variables scaler_x = StandardScaler() x_train = scaler_x.fit_transform(x_train) x_train = scaler_x.transform(x_test) # Fitting Linear Regression to training data classifier = LogisticRegression(random_state=0) classifier.fit(x_train, y_train) # Predicting the test set results y_prediction = classifier.predict(x_test) # Making the confusion matrix conMat = confusion_matrix(y_true=y_test, y_pred=y_prediction) print(conMat) 

The error I am getting is in the classifier.fit(x_train, y_train). The error is:

Traceback (most recent call last): File "/Users/Siddharth/PycharmProjects/Deep_Learning/Logistic_regression.py", line 24, in <module> classifier.fit(x_train, y_train) File "/usr/local/lib/python3.6/site-packages/sklearn/linear_model/logistic.py", line 1173, in fit order="C") File "/usr/local/lib/python3.6/site-packages/sklearn/utils/validation.py", line 531, in check_X_y check_consistent_length(X, y) File "/usr/local/lib/python3.6/site-packages/sklearn/utils/validation.py", line 181, in check_consistent_length " samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [100, 300] 

I have no clue why this is happening. Any help will be appreciated. Thank You!!

1 Answer

Seems like you have a typo here. You might want:

x_test = scaler_x.transform(x_test) 

rather than: x_train = scaler_x.transform(x_test). In short, the error basically says sizes of your x_train (which is actually x_test) and y_train doesn't match.