120 dB total harmonic distortion at 20 kHz
Excellent ac characteristics
800 ns settling time to 16 bits (10 V step)
110 MHz gain bandwidth (G = 1000)
8 MHz bandwidth (G = 10)
280 kHz full power bandwidth
說明 譯自英文 - 在決策樹學習中,信息增益比是信息增益與內在信息的比值。羅斯·奎倫(Ross Quinlan)提出了此方法,以在選擇時通過考慮分支的數量和大小來減少對多值屬性的偏見
一個屬性。信息增益也稱為相互信息。 维基百科(英文) 查看原文說明 查看原文說明 說明 In decision tree learning, Information gain ratio is a ratio of information gain to the intrinsic information. Wikipedia
In information theory and machine learning, information gain is a synonym for Kullback–Leibler divergence; the amount of information gained about a random ...
Information gain is the reduction in entropy or surprise by transforming a dataset and is often used in training decision trees. Information gain is calculated by comparing the entropy of the dataset before and after a transformation.