Kwara State University
Kazeem Dauda
Designation: Lecturer I
Department: Statistics and Mathematical Sciences
| My Publications | ||||||||
|---|---|---|---|---|---|---|---|---|
| S/N | Title | Abstract | Authors | Volume Numbers | Publication Type | Publication Date | Link | |
| 1 | Partial Least Squares-Based Classification and Selection of Predictive Variables of Crimes against Properties in Nigeria |
In this study, the state-of-the-art Partial Least Squares (PLS) based models (PLS-Discriminant analysis (PLS-DA), Sparse PLS-DA (SPLS-DA) and Sparse Generalized PLS (SGPLS)) were employed to model and classify the rate of crimes (low or high) committed against properties across the 36 states in Nigeria and the Federal Capital Territory (FCT). The core variables that are predictive of this crime type in Nigeria were identified using the LASSO penalty method via the PLS. Data on occurrences of cases of offences against property obtained from the data base of Nigerian Police Force were utilized in this study. The missing values due to non-occurrence or non-reportage of crime cases were imputed, using the techniques of multivariate imputation by chained equation. The complete data set were partitioned into training and test sets using 80:20 holdout scheme. The 80% training set was used to build the PLS-based models that were in turn used to predict the overall crime rates of Nigerian cities in the 20% held out test data over 200 Monte-Carlo cross-validation runs. All the PLS-based models yielded good classification of unseen test samples into either of two qualitative classes of high and low crime rates with average Correct Classification Rate (CCR) of 94%. Other performance metrics including sensitivity, specificity, positive and negative predictive values, balance accuracy and diagnostic odds ratio were estimated to further examine their classification efficiencies. The SGPLS identified fewer (just 3 out of 12) core relevant crime variables that are predictive of the overall crime rates in Nigerian states with highest CCR than the SPLS which selected 9 such variables to achieved about the same feat | Olorede, K. O., Yahya,W. B. A. O., Garuba, A. M., Banjoko A. W. and Dauda, K. A. | 1: 226-230 | Proceedings | 2017-05-04 | https://www.pssng.org/publication/proceedings/eyJpdiI6Im9mejk0OFwvS2ZvRHhveDBrWUVNWWdRPT0iLCJ2YWx1ZSI6Ik52Znd2TlV1SEJkc3RQdkFOc1YrMXc9PSIsIm1hYyI6IjZlNzYwN2I2MTlkMWNhNjZmM2MwYTc1MjQyYzEwNGVhZTRiMzNjNWNkNmI0ZWEwZjY3YjdlNGFmNzdjOWNiNzcifQ== | |