# ML final project
## model: SVM
> 報告者: 施孟成
---
- total 1692 images
- Preprocessing: gray scale => resize to 64*64
- Build 5 classifiers for each attributes.
- Validation method:
* Holdout validation *HV*
* Cross validation *CV*
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## take HP(生命值) attribute for example
---
### kernel: linear
| validation method| HV(train) | HV(test) | CV |
| -------- | -------- | -------- | -------- |
| Score | .830 | .167 | .162 |
---
| validation method| HV | CV |
| -------- | -------- | -------- |
| confusion matrix | |  |
---
### kernel: poly
| validation method| HV(train) | HV(test) | CV |
| -------- | -------- | -------- | -------- |
| Score | .649 | .191 | .173 |
---
| validation method| HV | CV |
| -------- | -------- | -------- |
| confusion matrix |  |  |
---
### kernel: rbf
| validation method| HV(train) | HV(test) | CV |
| -------- | -------- | -------- | -------- |
| Score | .364 | .177 | .189 |
---
| validation method| HV | CV |
| -------- | -------- | -------- |
| confusion matrix | |  |
---
### kernel: sigmoid
| validation method| HV(train) | HV(test) | CV |
| -------- | -------- | -------- | -------- |
| Score | .188 | .169 | .172 |
---
| validation method| HV | CV |
| -------- | -------- | -------- |
| confusion matrix | |  |
---
## Let's see another attributes...
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### PA(物理攻擊)

kernel: linear
score: .189
---
### MA(魔法攻擊)

kernel: linear
score: .179
---
### SP(敏捷or速度)

kernel: poly
score: .178
---
### CR(爆擊)

kernel: poly
score: .159
###### tags: `機器學習概論`
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