Categories

Evaluating a classification model with evaluation metrics - Part 3(Confusion Matrix) - 45

Published: 20 December 2020
on channel: IT Guys
38
1

Today we will be learning about another classification evaluation metric called the confusion matrix - an efficient way to work out where the model is getting confused.


If you have any doubts please comment them below

OR

Look at this image(It explains the heatmap+confusion matrix a bit more): https://github.com/sush3011/MachineLe...



#ML #MachineLearning #ML #Scikit-Learn #Python #MachineLearningModel #Evaluation

Watch video Evaluating a classification model with evaluation metrics - Part 3(Confusion Matrix) - 45 online without registration, duration hours minute second in high quality. This video was added by user IT Guys 20 December 2020, don't forget to share it with your friends and acquaintances, it has been viewed on our site 3 once and liked it people.

play_arrow
40,23
86

Оторвал голову противнику на спаринге

Оторвал голову противнику на спаринге
play_arrow

SAW-The Video Game. Прохождение #7

SAW-The Video Game. Прохождение #7
play_arrow
6,16

Красивые девушки №1

Красивые девушки №1
play_arrow
8,98
15

Grand Piece Online - Bari is is pure troll energy...

Grand Piece Online - Bari is is pure troll energy...
play_arrow
1

Как мгновенно уменьшить морщины до 49%. Попробуйте

Как мгновенно уменьшить морщины до 49%. Попробуйте
play_arrow
10

Термоманометры ROMMER

Термоманометры ROMMER
play_arrow
26
2

Old High German Pronunciation: Long Vowels

Old High German Pronunciation: Long Vowels
play_arrow
1

Thronebreaker: The Witcher Tales - Прохождение #12: Кто развязал резню??? 🔪

Thronebreaker: The Witcher Tales - Прохождение #12: Кто развязал резню??? 🔪
Related
play_arrow
Evaluating a machine learning model - Scikit-Learn evaluation functions - 51

Evaluating a machine learning model - Scikit-Learn evaluation functions - 51
play_arrow
Evaluiating a machine leaning model - FINALLY using the scoring Paramter - 50

Evaluiating a machine leaning model - FINALLY using the scoring Paramter - 50
play_arrow
Regression model evaluation metrics - Part 2(Mean squared error) - 49

Regression model evaluation metrics - Part 2(Mean squared error) - 49
play_arrow
Regression model evaluation metrics - Part 2(Mean absolute error) - 48

Regression model evaluation metrics - Part 2(Mean absolute error) - 48
play_arrow
Regression model evaluation metrics - Part 1(R^2) - 47

Regression model evaluation metrics - Part 1(R^2) - 47
play_arrow
Evaluating a classification model with evaluation metrics - Part 4(Classsification Report) - 46

Evaluating a classification model with evaluation metrics - Part 4(Classsification Report) - 46
play_arrow
Evaluating a classification model with evaluation metrics - Part 3(Confusion Matrix) - 45

Evaluating a classification model with evaluation metrics - Part 3(Confusion Matrix) - 45
play_arrow
Evaluating a Classification model with evaluation metrics - Part 2(Area under ROC curve) - 44

Evaluating a Classification model with evaluation metrics - Part 2(Area under ROC curve) - 44
play_arrow
Evaluating a Classification model with evaluating metrics - Part 1(Accuracy) - 43

Evaluating a Classification model with evaluating metrics - Part 1(Accuracy) - 43
play_arrow
Evaluating a machine learning model - Part 2 - 42

Evaluating a machine learning model - Part 2 - 42
play_arrow
Evaluating a machine learning model - Part 1 - 41

Evaluating a machine learning model - Part 1 - 41
play_arrow
Making predictions with a machine learning model - Part 2 - 40

Making predictions with a machine learning model - Part 2 - 40
play_arrow
Making predictions with machine learning models - Part 1 - 39

Making predictions with machine learning models - Part 1 - 39
play_arrow
Fitting a machine learning model - 38

Fitting a machine learning model - 38
play_arrow
Choosing the right machine-learning model with scikit-learn - Part 2 - 37

Choosing the right machine-learning model with scikit-learn - Part 2 - 37
play_arrow
Choosing the right Machine Learning Model with Scikit-Learn - Part 1 - 36

Choosing the right Machine Learning Model with Scikit-Learn - Part 1 - 36
play_arrow
Getting our data ready - Filling in missing values - Part 2 - 35

Getting our data ready - Filling in missing values - Part 2 - 35
play_arrow
Getting our data ready - Filling in missing values - Part 1 - 34

Getting our data ready - Filling in missing values - Part 1 - 34
play_arrow
Getting our data ready - Converting non-numerical values into numerical values - 33

Getting our data ready - Converting non-numerical values into numerical values - 33
play_arrow
Getting our data ready - Splitting our data - 32

Getting our data ready - Splitting our data - 32
play_arrow
A typical Scikit-Learn workflow - 31

A typical Scikit-Learn workflow - 31
play_arrow
Introduction to Scikit-Learn - 30

Introduction to Scikit-Learn - 30
play_arrow
Matplotlib project - 29

Matplotlib project - 29
play_arrow
Customising and styling Matplotlib plots - 28

Customising and styling Matplotlib plots - 28