File:Alperel-1.jpg
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[edit]DescriptionAlperel-1.jpg |
English: Using Iris data set, I created a training and a test sets. I have set random _state to zero so the model is not going to output different results every time. I trained the model on the training test and test the model on the Testing set. Using Naive Bayes method, the resulted accuracy was 93%. SVM method with linear kernel gave 97% accuracy while RBF kernel results in 95%. We can imply from those numbers that SVM method works better with Iris data-set overall. The reason may be predictors being somewhat dependent since Naive Bayes classifier assumes them as independent. Linear method giving a better accuracy than an RDF shows that data is linearly more separable rather than regionally. |
Date | |
Source | Own work |
Author | Alperel11 |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 04:44, 19 February 2019 | 1,387 × 766 (215 KB) | Alperel11 (talk | contribs) | User created page with UploadWizard |
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Date and time of data generation | 20:23, 18 February 2019 |
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Software used | Windows Photo Editor 10.0.10011.16384 |
File change date and time | 20:24, 18 February 2019 |
Date and time of digitizing | 20:23, 18 February 2019 |
DateTimeOriginal subseconds | 42 |
DateTimeDigitized subseconds | 42 |
Color space | sRGB |