Breast cancer (BC) disease is the most common and rapidly spreading across globe. This can be prevented if identified early, this eventually reduces death rate. Machine learning (ML) frequently utilized technology in research. Cancer patients benefit from early detection diagnosis. Using machine approaches, research proposes an improved way of detecting breast cancer. To deal with problem imbal...

Fault detection prediction of FAB (wafer fabrication) process in semiconductor manufacturing process is possible that improve product quality and reliability in accordance with the classification performance. However, FAB process is sometimes due to a fault occurs. And mostly it occurs “pass”. Hence, data imbalance occurs in the pass/fail class. If the data imbalance occurs, prediction models a...

The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing the distance between MTS Receiver Operating Characteristics (ROC) curve and t...

Industri telekomunikasi menghadapi persaingan yang ketat antara penyedia layanan (service provider). Persaingan ini mengakibatkan customer churn atau berpindahnya pelanggan dari satu ke lain. Customer menjadi masalah utama karena dapat mempengaruhi pendapatan perusahaan, profitabilitas, serta kelangsungan hidup perusahaan. Oleh itu, mengetahui akan melakukan secara dini salah cara cukup efektif...

Improving model accuracy is one of the most frequently addressed issues in bankruptcy prediction. Several previous studies employed artificial neural networks (ANNs) to enhancethe at which construction company can be predicted. However, these use sample-matching technique and available quarters or years dataset, resulting sample selection biases between-class imbalances. This study integrates a...

Early warning and forecasting of tornadoes began to combine artificial intelligence (AI) machine learning (ML) algorithms improve identification efficiency in the past few years. Applying detect usually encounters class imbalance problems because are rare events weather processes. The ADASYN-LOF algorithm (ALA) was proposed solve problem tornado sample sets based on radar data. adaptive synthet...