Confusion Matrix Ands its two types of error . Cyber Security and Confusion Matrix Error
Actually we use different type of Machine Learning Algorithms to Train our Machine To Predict In Future .
Generally There are Two type of Machine Learning Algorithms . First one is Supervised Learning while Other One is Unsupervised Learning . Supervised Learning is Generally used to train machine on the Label Data Means we Predict The Machine on Both Independent and Dependent data so Machine can Make a Pattern to predict In the Future . Second one is the Unsupervised Machine Learning Model Where Machine Train on the Unlabeled Data Means Here machine Make Their On pattern By Trained on the Independent Data .
Supervised Machine Learning is further classified in two Type
I) Regression : - Here machine Trained to deal/predict the Real data .
II) Classification : - Here Machine Predict the The in 0 or 1 , yes or no means in Category . Here We define the different different category of the data.
But As we Know Anything In the World is Not 100 percent correct . so Machine Can Also Make Mistake while training so We use Some of Tools to check the Error We Generally use Confusion Matrix to Analyze the Error while Training
CONFUSION MATRIX
It is a matrix having 2 row and two Columns Contain the Four Parameter .
Diagram Of Confusion Matrix
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1) True Negative :- It means that the Actual data was 0 and the predicted Value is Also 0.
2) False Positive :- It means that actual data is 0 But the Predicted result is 1. And it is also called as type 1 error.
3) False Negative :- It means that actual data is 1 but the predicted data is 0 , And it is also called as type 2 error
4) True Positive :- It means that actual data is 1 and the predicted data is also 1.
By this we come to Know that True positive and True Negative is good while False Negative and False Positive is not good for our Model
Total Accuracy of the modal is the :- (True positive + True Negative)/(True positive + True Negative + False positive + False Negative)
Cyber Crime
Cybercrime is criminal activity that either targets or uses a computer, a computer network or a networked device. Most, but not all, cybercrime is committed by cybercriminals or hackers who want to make money. Cybercrime is carried out by individuals or organizations. Some cybercriminals are organized, use advanced techniques and are highly technically skilled. Others are novice hackers.
Now When We Talk about The Predicting the Cyber Crime Then There must be a talk of The Confusion Matrix and it error.
Suppose While Predicting Our Model Not Able to Detect the Cyber Crime while actually it is a Cyber Crime So It might Be hurt us in the Future . This is the Type 2 (False Negative ).