resample

Author

Tony Duan

1 k-Fold Cross-Validation

Code

k_flod_resample<- vfold_cv(data, v = 10)
k_flod_resample

2 MONTE CARLO CROSS-VALIDATION

for MCCV, this proportion of the data is randomly selected each time. This results in assessment sets that are not mutually exclusive

Code

mc_resample<- mc_cv(data, prop = 9/10, times = 20)
mc_resample

3 The Bootstrap

A bootstrap sample of the training set is a sample that is the same size as the training set but is drawn with replacement

Code

bootstraps_resample<- bootstraps(data, times = 1000)
bootstraps_resample

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title: "resample"

author: "Tony Duan"

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# k-Fold Cross-Validation

![](images/three-CV-iter.svg){width="400"}

```{r}
#| eval: false
k_flod_resample<- vfold_cv(data, v = 10)
k_flod_resample
```

# MONTE CARLO CROSS-VALIDATION

for MCCV, this proportion of the data is randomly selected each time. This results in assessment sets that are not mutually exclusive

```{r}
#| eval: false
mc_resample<- mc_cv(data, prop = 9/10, times = 20)
mc_resample
```

# The Bootstrap

A bootstrap sample of the training set is a sample that is the same size as the training set but is drawn with replacement

![](images/bootstraps.svg){width="495"}

```{r}
#| eval: false
bootstraps_resample<- bootstraps(data, times = 1000)
bootstraps_resample
```