Penentuan teknik/model data mining yang tepat pada sebuah kasus sangat penting untuk mendapatkan model baik (tingkat akurat tinggi dan kesesuaiannya dengan masalah dipecahkan). Penelitian ini bertujuan membandingkan performa teknik diterapkan prediksi dropout mahasiswa. Perbandingan dilakukan menggunakan library PyCaret Python melakukan pemodelan 14 / yaitu: Extreme Gradient Boosting, Ada Boost...

BACKGROUND Medical school attrition is important--securing a place in medical school is difficult and a high attrition rate can affect the academic reputation of a medical school and staff morale. More important, however, are the personal consequences of dropout for the student. The aims of our study were to examine factors associated with attrition over a ten-year period (2001-2011) and to stu...

In this paper, we explore student dropout behavior in Massive Open Online Courses(MOOC). We use as a case study a recent Coursera class from which we develop a survival model that allows us to measure the influence of factors extracted from that data on student dropout rate. Specifically we explore factors related to student behavior and social positioning within discussion forums using standar...

Dropout is a common problem in the treatment of psychiatric illnesses including bipolar disorders (BD). The aim of the present study is to investigate illness perceptions of dropout patients with BD. A cross sectional study was done on the participants who attended the Mood Disorder Outpatient Clinic at least 3 times from January 2003 through June 2008, and then failed to attend clinic till to ...

An important problem in training deep networks with high capacity is to ensure that the trained network works well with new inputs. Dropout is an effective regularization technique to boost the network’s generalization in which a random subset of the elements of given data and the extracted features are set to zero during the training process. In this paper, a new randomized regularization tech...

The present research aims to systematically review the determinants and reasons for swimming dropout. The systematic review was conducted through electronic searches on the Web of Knowledge and PsycInfo databases from 2 February to 29 July 2015, using the keywords dropout, withdrawal, motives, reasons, sport, framework-theories, motivation, swim*, review, attrition and compliance. Fifteen studi...

Dropout is a simple yet effective algorithm for regularizing neural networks by randomly dropping out units through Bernoulli multiplicative noise, and for some restricted problem classes, such as linear or logistic regression, several theoretical studies have demonstrated the equivalence between dropout and a fully deterministic optimization problem with data-dependent Tikhonov regularization....

There is inconsistency in how we operationalise dropout in clinical research, with studies defining it based on time, number of sessions, therapeutic goals, an identified ‘end’ of therapy, or the therapist’s judgement. The effect of different definitions is poorly understood, but metaanalyses have indicated that they may produce varying rates of dropout and relate to heterogenous client groups....