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Summary of article content: Articles about python – train_test_split() error: Found input variables with inconsistent numbers of samples – Data Science Stack Exchange Fairly new to Python but building out my first RF model based on some ification data. I’ve converted all of the labels into int64 numerical … …
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Summary of article content: Articles about python – Found input variables with inconsistent numbers of samples: [4, 1] – Stack Overflow In the test data after splitting, you have four entries (rows), which means y_test has a length of 4. While trying to predict on [21, … …
Most searched keywords: Whether you are looking for python – Found input variables with inconsistent numbers of samples: [4, 1] – Stack Overflow In the test data after splitting, you have four entries (rows), which means y_test has a length of 4. While trying to predict on [21, …
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Summary of article content: Articles about Python-Machine-learning-ValueError: Found input variables with inconsistent numbers of samples: [143, 426]-InsideAIML How can I fix this error it throws? ValueError: Found input variables with inconsistent numbers of samples:[143, 426]. #split the data set into independent … …
Most searched keywords: Whether you are looking for Python-Machine-learning-ValueError: Found input variables with inconsistent numbers of samples: [143, 426]-InsideAIML How can I fix this error it throws? ValueError: Found input variables with inconsistent numbers of samples:[143, 426]. #split the data set into independent … How can I fix this error it throws? ValueError: Found input variables with inconsistent numbers of samples:[143, 426]
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Summary of article content: Articles about ValueError: Found input variables with inconsistent numbers of samples: [1, 1000] - Machine Learning - HKR Community I am trying to create one Machine Learning model using LinearRegression model, but I am getting the below error. import pandas as pd data ... ...

Most searched keywords: Whether you are looking for ValueError: Found input variables with inconsistent numbers of samples: [1, 1000] - Machine Learning - HKR Community I am trying to create one Machine Learning model using LinearRegression model, but I am getting the below error. import pandas as pd data ...

I am trying to create one Machine Learning model using LinearRegression model, but I am getting the below error.

import pandas as pd
data = pd.read_csv('db.csv')
x = data['TV']
y = data['Sales']
from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(x,y)
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
 File "/user/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/linear_model/base.py", line 512, in fit
 y_numeric=True, multi_output=True)
 File "/user/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/utils/validation.py", line 531, in check_X_y
 check_consistent_length(X, y)
 File "/user/Python.framework/Versions/3.6/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: [1, 1000]

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ValueError: Found input variables with inconsistent numbers of samples: [1, 1000] - Machine Learning - HKR Community

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Summary of article content: Articles about ValueError: Found input variables with inconsistent numbers of samples: [197, 784] | Data Science and Machine Learning | Kaggle I got this error while i was trying to check the score: X = lstatus[['Credit_History', 'Property_Area', 'Education', 'Married']] ...
Most searched keywords: Whether you are looking for ValueError: Found input variables with inconsistent numbers of samples: [197, 784] | Data Science and Machine Learning | Kaggle I got this error while i was trying to check the score: X = lstatus[['Credit_History', 'Property_Area', 'Education', 'Married']] ValueError: Found input variables with inconsistent numbers of samples: [197, 784]
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ValueError: Found input variables with inconsistent numbers of samples: [197, 784] | Data Science and Machine Learning | Kaggle

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Summary of article content: Articles about Linux World: ValueError: Found input variables with inconsistent numbers of samples But in this case the error appeared even though the number of samples in X_train and Y_train were same as shown in the output. (1336,) (1336,). The problem with ... ...
Most searched keywords: Whether you are looking for Linux World: ValueError: Found input variables with inconsistent numbers of samples But in this case the error appeared even though the number of samples in X_train and Y_train were same as shown in the output. (1336,) (1336,). The problem with ...
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Linux World: ValueError: Found input variables with inconsistent numbers of samples

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Summary of article content: Articles about ValueError Found input variables with inconsistent numbers of samples 1 1000 | Edureka Community I am trying to create one Machine Learning model using LinearRegression model, but I am getting ... with inconsistent numbers of samples: [1 ... ...
Most searched keywords: Whether you are looking for ValueError Found input variables with inconsistent numbers of samples 1 1000 | Edureka Community I am trying to create one Machine Learning model using LinearRegression model, but I am getting ... with inconsistent numbers of samples: [1 ... I am trying to create one Machine Learning model using LinearRegression model, but I am getting ... with inconsistent numbers of samples: [1, 1000]Machine Learning,python,python-programming,machine-learning,data-analytics
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train_test_split() error: Found input variables with inconsistent numbers of samples

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Fairly new to Python but building out my first RF model based on some classification data. I've converted all of the labels into int64 numerical data and loaded into X and Y as a numpy array, but I am hitting an error when I am trying to train the models.

Here is what my arrays look like:

>>> X = np.array([[df.tran_cityname, df.tran_signupos, df.tran_signupchannel, df.tran_vmake, df.tran_vmodel, df.tran_vyear]]) >>> Y = np.array(df['completed_trip_status'].values.tolist()) >>> X array([[[ 1, 1, 2, 3, 1, 1, 1, 1, 1, 3, 1, 3, 1, 1, 1, 1, 2, 1, 3, 1, 3, 3, 2, 3, 3, 1, 1, 1, 1], [ 0, 5, 5, 1, 1, 1, 2, 2, 0, 2, 2, 3, 1, 2, 5, 5, 2, 1, 2, 2, 2, 2, 2, 4, 3, 5, 1, 0, 1], [ 2, 2, 1, 3, 3, 3, 2, 3, 3, 2, 3, 2, 3, 2, 2, 3, 2, 2, 1, 1, 2, 1, 2, 2, 1, 2, 3, 1, 1], [ 0, 0, 0, 42, 17, 8, 42, 0, 0, 0, 22, 0, 22, 0, 0, 42, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 28, 17, 18], [ 0, 0, 0, 70, 291, 88, 234, 0, 0, 0, 222, 0, 222, 0, 0, 234, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, 40, 291, 131], [ 0, 0, 0, 2016, 2016, 2006, 2014, 0, 0, 0, 2015, 0, 2015, 0, 0, 2015, 0, 0, 0, 0, 2015, 0, 0, 0, 0, 0, 2016, 2016, 2010]]]) >>> Y array(['NO', 'NO', 'NO', 'YES', 'NO', 'NO', 'YES', 'NO', 'NO', 'NO', 'NO', 'NO', 'YES', 'NO', 'NO', 'YES', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO', 'NO'], dtype='|S3') >>> X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3)

Found input variables with inconsistent numbers of samples: [4, 1]

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this is what I did. The code is down bellow. I have the music.csv dataset. The error is Found input variables with inconsistent numbers of samples: [4, 1]. The error details is after the code.

# importing Data import pandas as pd music_data = pd.read_csv('music.csv') music_data # split into training and testing- nothing to clean # genre = predictions # Inputs are age and gender and output is genre # method=drop X = music_data.drop(columns=['genre']) # has everything but genre # X= INPUT Y = music_data['genre'] # only genre # Y=OUTPUT # now select algorithm from sklearn.tree import DecisionTreeClassifier model = DecisionTreeClassifier() # model model.fit(X, Y) prediction = model.predict([[21, 1]]) from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2) # 20% of date=testing # first two input other output model.fit(X_train, y_train) from sklearn.metrics import accuracy_score score = accuracy_score(y_test, predictions)

Then this error comes. This error is a value error

ValueError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_28312/3992581865.py in 5 model.fit(X_train, y_train) 6 from sklearn.metrics import accuracy_score ----> 7 score = accuracy_score(y_test, predictions) c:\users\shrey\appdata\local\programs\python\python39\lib\site- packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 c:\users\shrey\appdata\local\programs\python\python39\lib\site- packages\sklearn\metrics\_classification.py in accuracy_score(y_true, y_pred, normalize, sample_weight) 200 201 # Compute accuracy for each possible representation --> 202 y_type, y_true, y_pred = _check_targets(y_true, y_pred) 203 check_consistent_length(y_true, y_pred, sample_weight) 204 if y_type.startswith('multilabel'): c:\users\shrey\appdata\local\programs\python\python39\lib\site- packages\sklearn\metrics\_classification.py in _check_targets(y_true, y_pred) 81 y_pred : array or indicator matrix 82 """ ---> 83 check_consistent_length(y_true, y_pred) 84 type_true = type_of_target(y_true) 85 type_pred = type_of_target(y_pred) c:\users\shrey\appdata\local\programs\python\python39\lib\site- packages\sklearn\utils\validation.py in check_consistent_length(*arrays) 317 uniques = np.unique(lengths) 318 if len(uniques) > 1: --> 319 raise ValueError("Found input variables with inconsistent numbers of" 320 " samples: %r" % [int(l) for l in lengths]) 321 ValueError: Found input variables with inconsistent numbers of samples: [4, 1]
Pls help me. I dont know whats happening but I think it has to do with this score = accuracy_score(y_test, predictions).

Python-Machine-learning-ValueError: Found input variables with inconsistent numbers of samples: [143, 426]-InsideAIML

How can I fix this error it throws? ValueError: Found input variables with inconsistent numbers of samples:[143, 426]
#split the data set into independent (X) and dependent (Y) data sets X = df.iloc[:,2:31].values Y = df.iloc[:,1].values #split the data qet into 75% training and 25% testing X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.25, random_state = 0) #scale the data (feature scaling) sc = StandardScaler() X_train = sc.fit_transform(X_train) X_train = sc.fit_transform(X_test) #Using Logistic Regression Algorithm to the Training Set classifier = LogisticRegression(random_state = 0) classifier.fit(X_train, Y_train)

and the shape of X_train, Y_train:

X_train.shape (143, 29) Y_train.shape (426,)

error msg: ValueError Traceback (most recent call last) in () 2 3 classifier = LogisticRegression(random_state = 0) ----> 4 classifier.fit(X_train, Y_train) 5 #Using KNeighborsClassifier Method of neighbors class to use Nearest Neighbor algorithm 6

2 frames /usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py in check_consistent_length(*arrays) 210 if len(uniques) > 1: 211 raise ValueError("Found input variables with inconsistent numbers of" --> 212 " samples: %r" % [int(l) for l in lengths]) 213 214

ValueError: Found input variables with inconsistent numbers of samples: [143, 426]

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python – train_test_split() error: Found input variables with inconsistent numbers of samples – Data Science Stack Exchange

python – Found input variables with inconsistent numbers of samples: [4, 1] – Stack Overflow

Python-Machine-learning-ValueError: Found input variables with inconsistent numbers of samples: [143, 426]-InsideAIML

ValueError: Found input variables with inconsistent numbers of samples: [1, 1000] - Machine Learning - HKR Community

ValueError: Found input variables with inconsistent numbers of samples: [197, 784] | Data Science and Machine Learning | Kaggle

Linux World: ValueError: Found input variables with inconsistent numbers of samples

ValueError Found input variables with inconsistent numbers of samples 1 1000 | Edureka Community

ValueError Found input variables with inconsistent numbers of samples 1 1000 | Edureka Community

train_test_split() error: Found input variables with inconsistent numbers of samples

Found input variables with inconsistent numbers of samples: [4, 1]

Python-Machine-learning-ValueError: Found input variables with inconsistent numbers of samples: [143, 426]-InsideAIML

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