The overall framework can be seen as a better ensemble method than basic classifiers. The accuracy result obtained by the ensemble classifier is higher than that of the essential classifier. Finally, the accuracy results obtained by the basic classifier and the ensemble classifier are analyzed. The ensemble method is also used to extract the accuracy rate through the four ensemble classifiers, and confirm it through the confusion matrix, accuracy rate, recall rate, F1 score, and support value. Five basic machine learning (ML) classifiers were used, and the confusion matrix and ROC curve were used to check their accuracy. This article describes the use of AI in patients with kidney disease, such as chronic kidney disease (ckd) or patients without kidney disease (notckd). With the improvement of AI promotion strategies (bringing exploration in different fields), it is not difficult to predict certain advances. We proved experimentally that the proposed method achieves a more effective performance than black box AI models in terms of model transparency and memory requirement, as well as the interpretation of the feature relevance.Īrtificial intelligence (AI) technology can be used to predict future value, especially for the healthcare industry. To demonstrate the superior performance of the proposed L-SRF method, several comparative experiments were conducted on various data sets. In addition, because the proposed L-SRF removes unnecessary rules, it is possible to minimize the loss of the importance and relevance of each feature. The proposed L-SRF based on a rule contribution has the advantage of improving the degree of simplification and transparency of the model by realizing the large distillation ratio against the initial SRF model.
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Second, a random mini-grouping method is devised to effectively distilless important rules while minimizing the overfitting problem caused by a model simplification. First, we propose a cross-entropy Shapley value to evaluate the contribution of each rule in the student surrogate model. Therefore, to increase model transparency while maintaining the performance of the surrogate model, we propose two methods. However, the student model obtained in this way must maintain the performance of the teacher model, and thus the degree of model simplification and transparency is extremely limited. The common surrogate models replace the existing heavy and deep but high-performance black box model using a teacher–student learning framework.
Kigb download mac#
In a nutshell, KiGB is the Mac application you need if you want to give a spin to the Gameboy games you were playing in your childhood on your state-of-the-art Mac computer.In this study, we propose a lightweight surrogate random forest (L-SRF) algorithm that can be interpreted through a new rule distillation method. Playing Gameboy titles on your Mac has just gotten a lot easierīy the same token and from the same window, KiGB allows you to configure the keyboard layout according to your preferences with just a few mouse clicks.
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On top of that, KiGB is also designed to help you effortlessly adjust the game speed to perfectly match the game's audio track.Īs a supplementary benefit, KiGB users have the option to simulate the LCD colors and motion blur if they access the Emulator tab under the Preferences window. KiGB also makes it possible to easily set the frame rate and display its value in the right corner of the emulation screen. Makes it simple to adjust the games' speed and frame rate In addition, KiGB offers support for both the Game Shark and Game Genies cheat systems that can help you get past various levels in different games.Īs an added bonus, while using KiGB to play a large assortment of Gameboy games on your Mac, you will also be able to open and start them via the File menu, as well as pause the entire app when you need to take a quick break.įurthermore, you can easily Freeze or defrost the game state in order to save and resume your game sessions by accessing the Options menu.Īdditionally, the Game Genie and Game Shark dialogs will help you enter and enable a total of 24 codes, 12 for each system.
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Built-in support for game cheat systems that will make your playing sessions even more fun Moreover, the KiGB app features a streamlined user interface designed to get you playing various Gameboy games in no time and enjoying high-quality sound and accurate emulation with little to no effort at all. KiGB is a smooth-running and quite user friendly OS X emulator for the Nintendo Gameboy and Gameboy color devices.