2:19
Evaluation Metrices | L-01 | Basic Overview
Professor Rahul Jain
5:21
Accuracy | L-02 | Classification Metrics | Evaluation Metrics
3:33
Precision | L-03 | Classification Metrics | Evaluation Metrices
3:23
Recall | Evaluation Metrics | L-04 | Classification Metrics
F1-Score | L-05 | Classification Metrics | Evaluation Metrics
5:45
ROC Curve and AUC | L-06 | Evaluation Metrics | Classification Metrics
7:37
MAE, MSE, RMSE | Regression Metrics | L-07 | Machine Learning
7:22
MAPE (Mean Absolute Percentage Error) | L-08 | Evaluation Metrics
12:23
Silhouette Score | L-09 | Clustering Metrics
7:09
Precision@K and Recall@K | L-10 | Information Retrieval Metrics
10:50
TPR - True Positive Rate & FPR - False Positive Rate | Anamoly Detection Metrics | L-11
12:38
Multiclass Classification Metrics Macro vs Micro-averaged Precision/Recall/F1 Score Explained | L-12
14:16
R Squared Metric | Regression Metric | L-13
8:06
Which criteria are important in selecting the right evaluation metrics for a particular study? L-14
5:51
Why do LSTM generally exhibit lower MSE compared to traditional RNN and CNN in certain applications?
6:49
Why are metrics like Mean Absolute Percentage Error (MAPE) preferred in financial forecasting? L-16
6:48
Python Code Implementation of Regression Metrics: MAE, MSE, R-Squared, RMSE | L - 17
8:19
Understanding the Sharpe Ratio: Evaluating Risk-Adjusted Returns | L-18
12:49
Understanding Forecast Accuracy Metrics: MAPE vs. SMAPE | L - 19
7:52
Understanding Kendall's Coefficient of Concordance | Statistics Explained with Example | L - 20
5:23
Understanding Specificity | Importance, Calculation, and Real-World Applications | L -21
4:45
Understanding Sensitivity in Medical Diagnostics | Importance, Calculation, and Applications | L-22
6:56
Relative Strength Index (RSI) | Momentum Indicator | Understand With Example | L-23
7:47
(MACD) Moving Average Convergence and Divergence | Understand with Example | L-24
3:54
RSI vs MACD: Mastering Key Trading Indicators for Better Results | L-25
9:40
How to Create a ROC-AUC Curve in Python for Binary Classification | Step-by-Step Guide
11:47
Fibonacci Retracement | Unravelling Fibonacci: Mastering Retracement for Optimal Trading Strategies
10:55
Dunn's Index | Clustering Techniques Evaluation Metric | Understanding with Numerical Problem