I'm working on the Titanic competition on Spyder IDE. The code is barely complete but I'm doing it one step at a time (and this is the first time I've ever built a learning model). Now, I'm getting a Found input variables with inconsistent numbers of samples: [891, 183] error in the log while trying to run my code. This is what I have so far:
import pandas as pd
from sklearn.tree import DecisionTreeRegressor
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error
train_path = "C:\\Users\\Omar\\Downloads\\Titanic Data\\train.csv"
train_data = pd.read_csv(train_path)
columns_of_interest = ['Survived','Pclass', 'Sex', 'Age']
filtered_titanic_data = train_data.dropna(axis=0)
x = train_data[columns_of_interest]
y = filtered_titanic_data.Survived
train_x, val_x, train_y, val_y = train_test_split(x, y, random_state=0)
titanic_model = DecisionTreeRegressor()
titanic_model.fit(train_x, train_y)
val_predictions = titanic_model.predict(val_x)
print(filtered_titanic_data)
Idk whether its coming from the excel file or the parameters. I'm sorry if this is a simple question. I couldn't implement other people's solutions.
The error is because you are taking labels from filtered data and taking x from unfiltered data
Change the following line
x = train_data[columns_of_interest]
to
x = filtered_titanic_data[columns_of_interest]