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1
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Squiggly Line fit to the training data
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36 Hörer
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2
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Definition of Variance
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32 Hörer
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3
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Definition of Overfit
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31 Hörer
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4
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Cross Validation concepts
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31 Hörer
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5
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Motivation for using Cross Validation
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30 Hörer
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6
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An example using Cross Validation
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27 Hörer
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7
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Bias and Variance
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21 Hörer
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8
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Least Regression fit to the training data
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18 Hörer
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9
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Motivation for confusion matrices
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16 Hörer
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10
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A 3x3 confusion matrix.
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13 Hörer
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11
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Cross Validation for tuning parameters
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11 Hörer
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12
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Definition of confusion matrix and related terminology
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9 Hörer
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13
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Confusion matrix example
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8 Hörer
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14
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Comparing confusion matrices
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7 Hörer
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15
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The data and the "true" model
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7 Hörer
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16
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Sensitivity and Specificity
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5 Hörer
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17
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Intro
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5 Hörer
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18
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Cross Validation
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2 Hörer
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19
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Summary
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2 Hörer
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20
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Awesome song and introduction
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1 Hörer
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21
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The Confusion Matrix
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1 Hörer
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