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Invidious > Channel > Victor Lavrenko

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YT 1 minute 28 seconds Victor Lavrenko IAML8.1 Generalization in machine learning YT 3 minutes 24 seconds Victor Lavrenko IAML8.2 Overfitting and underfitting YT 2 minutes 25 seconds Victor Lavrenko IAML8.3 Examples of overfitting and underfitting

YT 2 minutes 52 seconds Victor Lavrenko IAML8.4 How to control overfitting YT 4 minutes 56 seconds Victor Lavrenko IAML8.5 Generalization error YT 2 minutes 45 seconds Victor Lavrenko IAML8.6 Estimating the generalization error

YT 9 minutes 25 seconds Victor Lavrenko IAML8.7 Confidence interval for generalization YT 3 minutes 22 seconds Victor Lavrenko IAML8.8 Why we need validation sets YT 5 minutes 58 seconds Victor Lavrenko IAML8.9 Cross-validation

YT 6 minutes 36 seconds Victor Lavrenko IAML8.10 Leave-one-out cross-validation YT 1 minute 52 seconds Victor Lavrenko IAML8.11 Stratified sampling YT 1 minute 59 seconds Victor Lavrenko IAML8.12 Evaluating classification and regression

YT 3 minutes 11 seconds Victor Lavrenko IAML8.13 False positives and false negatives YT 1 minute 36 seconds Victor Lavrenko IAML8.14 Classification error and accuracy YT 1 minute 57 seconds Victor Lavrenko IAML8.15 When classification error is wrong

YT 3 minutes 59 seconds Victor Lavrenko IAML8.16 Recall, precision, miss and false alarm YT 4 minutes 23 seconds Victor Lavrenko IAML8.17 Classification cost and utility YT 13 minutes 36 seconds Victor Lavrenko IAML8.18 Receiver Operating Characteristic (ROC) curve

YT 4 minutes 4 seconds Victor Lavrenko IAML8.19 Evaluating regression: MSE, MAE, CC YT 4 minutes Victor Lavrenko IAML8.20 Mean squared error and outliers YT 1 minute 23 seconds Victor Lavrenko IAML8.21 Mean absolute error (MAE)

YT 1 minute 56 seconds Victor Lavrenko IAML8.22 Correlation coefficient