Python codes for types of Classification Algorithms

These classification algorithms are used for the calculation of metrics accuracy of the data by using python.

The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data. In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classes or groups

Classification can be performed on structured or unstructured data. Classification is a technique where we categorize data into a given number of classes. The main goal of a classification problem is to identify the category/class to which new data will fall.

“An algorithm must be seen to be believed”

Here are the few types of classification algorithms that are used in python:

• Decision Tree
• Logistic Regression
• Random Forest

Decision Tree:

Given a data of attributes together with its classes, a decision tree produces a sequence of rules that can be used to classify the data.

Code for the Decision Tree Classification in python

from sklearn.tree import DecisionTreeClassifier

dtree = DecisionTreeClassifier()

dtree=fit(x_train, x_train)

pre_y=dtree.predict(x_test)

Random Forest:

Random Forest classifier is a meta-estimator that fits a number of decision trees on various sub-samples of datasets and uses average to improve the predictive accuracy of the model and controls over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement.

from sklearn.ensemble import RandomForestClassifier

rcm=RandomForestClassifier()

rcm=fit(x_train, x_train)

pre_y=rcm.predict(x_test)

Logistic regression:

Logistic regression is a machine learning algorithm for classification. In this algorithm, the probabilities describing the possible outcomes of a single trial are modeled using a logistic function.

from sklearn.linear_model import LogisticRegression

lr= LogisticRegression()

lr= fit(x_train, x_train)

pre_y=lr. Predict(x_test)

These are few codes for the classification of algorithms used in python.

Thanks for reading..!!