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MLBox Data preprocessing results.

MLBox Data preprocessing results.

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FIGURE 1. Dataset class label distributions.
FIGURE 2. MLBox Data preprocessing results.
FIGURE 3. LGBM classification algorithm hyperparameters.
FIGURE 4. Bagging process hyperparameters.
+1 Dataset attribute definitions
Application of Automated Machine Learning and Bagging Techniques to Classify Rice Varieties
Article
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  • Dec 2024
We have witnessed increased research investigating digitalisation in the agricultural sector in recent years. In particular, machine learning and artificial intelligence find applications in agricultural product classification, quality control and species identification. The fast-processing times, high accuracy levels and cost-effectiveness offered...
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Context 1
... processes were run on the dataset analyzed in this study before analysis with MLBox, an AutoML library. In line with the results shown in Figure 2, no missing/erroneous data was found in the data, and no categorical data type was detected. In addition, in terms of the dataset order, it was seen that the attributes did not have a quality that would disrupt the order in reaching the result. ...

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