Decision trees

2020年10月8日 — Lc因為每個分支都只有一筆數據，所以Entropy非常低，而Information Gain非常高，這狀況會導致模型誤判最佳的決策條件。 計算資訊獲益比率（Gain Ratio） ...

Gain ratio. ▫ Gain ratio: a modification of the information gain that reduces its bias on high-branch attributes. ▫ Gain ratio should be. ❑ Large when data ...

2023年1月29日 — Gain Ratio is a measure that takes into account both the information gain and the number of outcomes of a feature to determine the best feature ...

is the probability of class i. Compute it as the proportion of class i in the set. • Entropy comes from information theory. The higher the entropy the more the ...

2020年1月4日 — Information Gain, Gain Ratio and Gini Index are the three fundamental criteria to measure the quality of a split in Decision Tree.

The Weight by Information Gain Ratio operator calculates the weight of attributes with respect to the label attribute by using the information gain ratio. The ...

2021年3月21日 — Gini index is measured by subtracting the sum of squared probabilities of each class from one, in opposite of it, information gain is obtained ...

因為分支的數量相當多，所以他的info 值也相當的大。 接著我們就可以求出gain ratio ，直接把原本的info 值除以分支數量的info 值： 0.940 / 3.807 = 0.247.