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ABSTRACT
Binary Logistics Regression and Naïve Bayesian classifier are two of the common classification modelling techniques that allow one to predict the category that a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. We studied the classification performances of the two linear classification under different feature (variable) selection criteria and dataset size conditions on a medical domain area were studied based on the datasets (breast cancer and heart diseases) obtained from the University of California, Irvine, online respiratory. The result indicated that logistics Regression for classification on relatively large datasets without the application of PCA (for variable selection) has the great accuracy (91.4%), while Naïve Bayesian classifier with PCA (for variable/ feature selection) tops the smaller dataset classification with an accuracy of 90.2%. These two accuracies are close enough and high enough, which is an indication of high relevance of their selections in solving classification problems on datasets from this kind of domain.
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SIMILAR STATISTICS FINAL YEAR PROJECT RESEARCH TOPICS
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1. STATISTICAL ANALYSIS OF MONETARY POLICY AND INFLATION IN NIGERIA (1998-2018)
» CHAPTER ONE 1.0 INTRODUCTION Monetary policy entails the government policies aimed at changing the quantity of money or credit condition. In every eco...Continue Reading »Item Type & Format: Project Material - Ms Word | 63 pages | Instant Download | Chapter 1-5 | STATISTICS DEPARTMENT
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2. MODELING CARDIAC OUT–PATIENT FLOW IN NNAMDI AZIKIWE UNIVERSITY TEACHING HOSPITAL (NAUTH) NNEWI WITH MONTE CARLO SIMULATION: AN APPLICATION ON QUEUEI...
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3. LOANS AND ADVANCES EVALUATION WITH DISCRIMINANT ANALYSIS: A CASE STUDY OF FIVE COMMERCIAL BANKS
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4. DETERMINANTS OF ECONOMIC GROWTH IN NIGERIA: AN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) MODELING APPROACH
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5. A DESIGN AND ANALYSIS OF EXPERIMENTS ON THE METHODS OF ESTIMATING VARIANCE COMPONENTS IN FARM ANIMALS.
» CHAPTER ONE 1.1. BACKGROUND OF THE STUDY Variance measures the variability or difference from a mean or response. A variance value of 0 indicates that...Continue Reading »Item Type & Format: Project Material - Ms Word | 62 pages | Instant Download | Chapter 1-5 | STATISTICS DEPARTMENT
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6. AN ASSESSMENT OF FERTILITY RATE AND DIFFERENTIALS IN WOMEN WITHIN THE REPRODUCTIVE AGEIN KADUNA STATE
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7. APPLICATION OF QUEUEING THEORY IN TACKLING THE PROBLEM OF PORT CONGESTION AT APAPA PORT, LAGOS, NIGERIA
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8. COMPARATIVE STUDY ON LOGIT AND PROBIT MODELS IN THE PREDICTION OF BRONCHO-PULMONARY DYSPLASIA STATUS OF INFANTS
» ABSTRACT Broncho Pulmonary Dysplasia (BPD) is a form of chronic lung disease that develops in preterm neonates treated with oxygen and positive pressu...Continue Reading »Item Type & Format: Project Material - Ms Word | 52 pages | Instant Download | Chapter 1-5 | STATISTICS DEPARTMENT
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9. RATIO-TYPE ESTIMATORS IN STRATIFIED RANDOM SAMPLING USING AUXILIARY ATTRIBUTE
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10. STATISTICAL MODELS OF DETERMINANTS OF BIRTH WEIGHT IN NKPOR AND ITS ENVIRONS, ANAMBRA STATE
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