Linear Regression App
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matlab for Linear Regression App
Typology: Summaries
2016/2017
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Linear Regression App
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https://archive.ics.uci.edu/ml/machine-learning-databases/abalone/a balone.data )
- (^) 提供的資訊 (Sex,Length,Diameter,Height,Whole_weight,Shucked_weight,Viscera_ weight,Shell_weight)
- (^) 推測鮑魚的年齡 (Rings)
- (^) Gaussian Process Regression
Predicted vs Actual
- (^) Gaussian Process Regression
- (^) RMSE:2. 0968
模型詳細資訊
Number of numeric components choose three
參數調整 2-PCA
Gaussian Process Regression
- (^) RMSE:2.09 17
- (^) Gaussian Process Regression for Number of numeric
components choose three
Predicted vs Actual
- (^) Use all feature
- (^) RMSE:2.
- (^) Use 3 feature Length Diameter Height
- (^) RMSE: 2.
- (^) Use 3 feature PCA
- (^) RMSE: 2.
- (^) 使用 PCA vs Use all feature
- (^) RMSE: 2.0917 vs 2.
- (^) 在降低運算量同時，也取得較低的誤差
- (^) 手動選擇 3 feature vs Use all feature
- (^) RMSE: 2.0968 vs 2.
- (^) 若手動選擇的特徵不是主要成分，降低選擇的特徵會導致誤差的 提高