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Python 2021-09-25 18:15:07
write a Program in Python/R to Demonstrate naive bayes classification
>>> from sklearn.naive_bayes import GaussianNB >>> from sklearn.naive_bayes import MultinomialNB >>> from sklearn import datasets >>> from sklearn.metrics import confusion_matrix >>> from sklearn.model_selectio... Add solution -
Other 2021-09-23 03:12:02
train test validation split
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,... Add solution -
Python 2021-09-18 04:31:02
Lazy Predict Classification Auto SkLearn
from lazypredict.Supervised import LazyClassifier from sklearn.datasets import load_breast_cancer from sklearn.model_selection import train_test_split data = load_breast_cancer() X = data.data y= data.target X_train, X_test, y_train, y_test = train_test... Add solution -
Python 2021-09-13 00:02:02
tech with tim
import pandas as pd import numpy as np import sklearn from sklearn import linear_model from sklearn.utils import shuffle data = pd.read_csv("student-mat.csv", sep=";") data = data[["G1", "G2", "G3", &quo... Add solution -
Python 2021-08-30 11:56:01
knn code
from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import accuracy_score from sklearn.metrics import classification_report X = df.drop('column name', axis = 1) y = df.["Column name(target)"].values X_train_knn, X_test_knn,... Add solution