Methods, such as holdout, random subsampling, k-fold cross-validation, and bootstrap, for making error estimation are discussed. Also considered are general techniques, such as bagging and boosting, for increasing model accuracy. Directory • Table of

Dalam proses penetuan mutu atau tingkat kemanisan buah alpukat di pasaran pada umumnya dilakukan dengan dua cara yaitu menggunakan pakar-pakar untuk pemilihan / sortasi metode destruktif pengambilan sampel, uji coba tersebut seperti Refractometer. Permasalahan yang terjadi kedua memiliki cost relatif besar dan tidak menghasilkan seragam karena oleh pakar bersifat subjektif kemungkinan terjadiny...

A cross-validation method based on [Formula: see text] replications of two-fold cross validation is called an [Formula: see text] cross validation. An [Formula: see text] cross validation is used in estimating the generalization error and comparing of algorithms' performance in machine learning. However, the variance of the estimator of the generalization error in [Formula: see text] cross vali...

Named-Entity-Recognition(NER) is one of the most important Information-Extraction (IE) use cases, whichis used to improve performance Natural Languages Processing (NLP) tasks,such as Relation-Extraction (RE), Question-Answering (QA). Recently, Arabic NER tackled in differentways by researchers. In this study, we assess two widelyused models, namely, LSTM and Bi-LSTM on task languageand perform ...

Penyakit arteri koroner (coronary artery disease) menjadi penyebab utama kematian penduduk di dunia setidaknya selama dua dekade (2000-2019) dan mengalami peningkatan terbesar dalam rentang waktu tersebut dibandingkan dengan lainnya. Keberhasilan memprediksi penyakit secara dini berdasarkan data medis bermanfaat bagi pasien juga kestabilan perekonomian negara. Tujuan penelitian ini adalah jantu...

This study analyzes the performance of k-Nearest Neighbor method with k-Fold Cross Validation algorithm as an evaluation model and Analytic Hierarchy Process feature selection for data classification process in order to obtain best level accuracy machine learning model. The test results are fold-3, which is getting rate 95%. Evaluation can get a good also gets optimal reduce because it only use...

This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents' wrists and its corresponding 3D gesture recogni...

Bisnis simpan pinjam di era sat ini semakin banyak beredar masyarakat, baik itu online maupun konvensional. Banyak juga perusahaan penyedia jasa kepada para konsumen atau nasabahnya disebut sebagai debitur yang kurang mempertimbangkan kemampuan dalam mengembalikan uang pinjamannya. Sebenarnya algoritma mampu dimanfaatkan mengatasi memprediksi seorang tersbut nantinya layak untuk diberi pinjaman...