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| Pages | 142 |
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Project Details
| Department | Statistic |
| Type | Project |
| Pages | 142 |
| Reference Style | YES |
| Format | MS Word & PDF |
| Reference No. | STS0135 |
Abstract
ABSTRACT This study proposes a method for classification based on a Pattern Trace Network and Principal Component Analysis. Using data from a public Senior High School, the proposed method was applied to forecast whether or not a Senior High School (SHS) student would qualify for admission into the university. The method’s performance and the performance of Logistic Regression were compared. The independent variables used in the study are gender, boarding status, program of study, and continuous assessment. 79% of the data was used as a training set to estimate the parameters of the models an…
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Full material
₦ 5,000 $(29)
| Pages | 142 |
| Delivery | Instant, after payment |
