The Confusion Matrix (Water Shortage in School) | Reality:1 | Reality:0 |

Prediction : 1 | 75 | 5 |

Prediction : 0 | 5 | 15 |

Reality:1 | Reality: 0 | ||

Prediction: 1 | 75 | 5 | 80 |

Prediction: 0 | 5 | 15 | 20 |

80 | 20 | 100 |

**Calculation: **

Accuracy is defined as the percentage of correct predictions out of all the observations

Where True Positive **(TP)**, True Negative** (TN)**, False Positive **(FP),** and False Negative **(FN).**

= (75+15) / (75+15+5+5) = (90 / 100) =0.9

**Precision: **

Precision is defined as the percentage of true positive cases versus all the cases where the prediction is true.

= 75 / (75+5)

= 75 /80

= 0.9375

**Recall:**

It is defined as the fraction of positive cases that are correctly identified.

**Recall**= True Positive / True Positive + False Negative

= 75 / (75+5) = 75 /80 = 0.9375

**F1 Score:**

F1 score is defined as the measure of balance between precision and recall.

= 2 * ((0.9375 *0.9375) / (0.9375+0.9375)

**F1 Score** = Precision*Recall/Precision + Recall

Therefore

= 2 * (0.8789 / 1.875)

= 2 * 0.46875 = 0.9375

**Accuracy**= 0.9% **Precision**= 0.9375% **Recall**= 0.9375%** ****F1 Score**= 0.

Here precision, recall, accuracy, and f1 score all are the same

Study more about Evaluation at Evaluation Class 10