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Predictive Modeling & Machine Learning

11

Mar'17

204.4.8 Problem of Under-fitting

Link to the previous post: https://statinfer.com/204-4-7-problem-of-overfitting/ The Problem of Under-fitting Simple models are better. It’s true but is that always …

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11

Mar'17

204.4.7 Problem of Overfitting

Link to the previous post : https://statinfer.com/204-4-6-type-of-datasets-type-of-errors-and-problem-of-overfitting/ The Problem of Over Fitting In search of the best model on the …

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11

Mar'17

204.4.6 Type of Datasets, Type of Errors and Problem of Overfitting

Link to the previous post : https://statinfer.com/204-4-5-what-is-a-best-model/ Different Type of Datasets and Errors The Training Error The accuracy of our …

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10

Mar'17

204.4.5 What is a Best Model?

Link to the previous post : https://statinfer.com/204-4-4-roc-and-auc/ What is a best model? How to build? A model with maximum accuracy …

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10

Mar'17

204.4.4 ROC and AUC

Link to the previous post : https://statinfer.com/204-4-3-more-on-sensitivity-and-specificity/ ROC Curve If we consider all the possible threshold values and the corresponding …

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10

Mar'17

204.4.3 More on Sensitivity and Specificity

Link to the previous post :¬†https://statinfer.com/204-4-2-calculating-sensitivity-and-specificity-in-python/ In this post we will cover a bit more on Sensitivity and Specificity. We …

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