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how to distribute a dataset in train and test using scikit
“how to distribute a dataset in train and test using scikit” Code Answer’s
sklearn split train test
python by
Pouyan
on Mar 04 2020
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3
import numpy as np from sklearn.model_selection import train_test_split X, y = np.arange(10).reshape((5, 2)), range(5) X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.33, random_state=42) X_train # array([[4, 5], # [0, 1], # [6, 7]]) y_train # [2, 0, 3] X_test # array([[2, 3], # [8, 9]]) y_test # [1, 4]
Source:
stackoverflow.com
code for test and train split
whatever by
Cute Chimpanzee
on Apr 29 2020
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4
from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.33, random_state=42)
Source:
scikit-learn.org
how to distribute a dataset in train and test using scikit
basic by
Firoxon
on Jun 22 2020
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1
from sklearn.model_selection import train_test_split xTrain, xTest, yTrain, yTest = train_test_split(x, y, test_size = 0.2, random_state = 0)
splitting data into training and testing sklearn
python by
Cruel Crane
on Apr 22 2020
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0
train_features, test_features, train_labels, test_labels = train_test_split(features, labels) #This is using sklearn
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print(shahzaib)
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