data-science-bits

Repository for the Data Science Bits YouTube channel

github.io home

github home

Performance Metrics

Performance Metrics playlist on YouTube

TN, FP, FN, and TP

• TN, FP, FN, and TP from balanced distributions

• TN, FP, FN, and TP from balanced distributions (more granular)

True Positive Rate (TPR) and False Positive Rate (FPR)

• TPR and FPR from balanced distributions

• TPR and FPR from unbalanced distributions

With difference (or delta) animation:

• TPR and FPR delta from balanced distributions

• TPR and FPR delta from unbalanced distributions

Receiver Operating Characteristic (ROC)

• ROC from balanced distributions

• ROC from unbalanced distributions

• ROC from random guess (baseline)

Rotation:

• ROC from unbalanced distributions

Top Mistakes:

• Google Colab with examples

Precision and Recall

• Precision and Recall from balanced distributions

• Precision and Recall from unbalanced distributions

With difference (or delta) animation:

• Precision and Recall from balanced distributions

• Precision and Recall from unbalanced distributions

Precision vs Recall

• Precision vs Recall from balanced distributions

• Precision vs Recall from unbalanced distributions

F1 Score

• Precision, Recall, Arithmetic Mean, Geometric Mean, and F1 Score (Harmonic Mean) from unbalanced distributions

Accuracy

• Precision, Recall, F1 Score, and Accuracy from balanced distributions

• Precision, Recall, F1 Score, and Accuracy from unbalanced distributions

Matthews Correlation Coefficient

• Precision, Recall, F1 Score, Accuracy, and Matthews Corr. from balanced distributions

• Precision, Recall, F1 Score, Accuracy, and Matthews Corr. from unbalanced distributions

The Data Science Pipeline

Git Mondays (on Twitch 🖥️💜🖥️💜)

• Slide deck

Git & GitHub - Do Básico ao Avançado em uma Noite (PT-BR on Twitch 🖥️💜🖥️💜)

• Slide deck