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Exact(6)
F3 only considers the number of examples discriminated by the most discriminative attribute, instead of all the attributes.
Then, all the instances that can be discriminated are removed from the dataset, and the following most discriminative attribute (regarding the remaining examples) is selected.
Rule I: The most discriminative attribute was MIPS functional similarity.
First, we select the most discriminative attribute, that is, the attribute that can separate a major number of instances of one class.
We note here that for each setting, the top-5 attributes are basically the same, and the QUESTION_CODE_SIZE attribute is the most discriminative attribute in general.
From the alternating decision tree classifier, we can observe the following characteristics: Rule I: The most discriminative attribute was MIPS functional similarity.
Similar(54)
In addition, we use a genetic algorithm to find the most discriminative attributes among others for better performance during the stage of flower classification.
These advantages are evidenced in the feature selection analysis (Supplementary Fig. S3), which shows that long-range distances are the most discriminative attributes of the signatures, usually polar polar and hydrophobic hydrophobic atom frequencies for distances beyond 6 Å for the SKEMPI data set.
First, based on a scribbled image we determine the most discriminative textural features using linear discriminant analysis.
The most discriminative subbands are fed into a linear discriminant analysis classifier.
LBP is the most discriminative feature type for "road" while color moment is the most discriminative feature type for "water".
Related(20)
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