West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter. Asian Pacific Journal of Cancer Prevention 1513-7368 20 4 2019 04 01 To Generate an Ensemble Model for Women Thyroid Prediction Using Data Mining Techniques 1275 1281 85939 10.31557/APJCP.2019.20.4.1275 EN Dhyan Chandra Yadav VBS Purvanchal University, Jaunpur, U.P., India. Saurabh Pal VBS Purvanchal University, Jaunpur, U.P., India. 0000-0001-9545-7481 Journal Article 2019 02 07 Objective: The main objective of this paper is to easily identify thyroid symptom for treatment. Methods: In<br />this paper two main techniques are proposed for mining the hidden pattern in the dataset. Ensemble-I and Ensemble-<br />II both are machine learning techniques. Ensemble-I generated from decision tree, over fitting and neural network<br />and Ensemble-II generated from combinations of Bagging and Boosting techniques. Finally proposed experiment is<br />conducted by Ensemble-I vs. Ensemble-II. Results: In the entire experimental setup find an ensemble –II generated<br />model is the higher compare to other ensemble-I model. In each experiment observe and compare the value of all the<br />performance of ROC, MAE, RMSE, RAE and RRSE. Stacking (ensemble-I) ensemble model estimate the weights<br />for input with output model by thyroid dataset. After the measurement find out the results ROC=(98.80), MAE=<br />(0.89), 6RMSE=(0.21), RAE= (52.78), RRSE=(83.71)and in the ensemble-II observe thyroid dataset and measure all<br />performance of the model ROC=(98.79), MAE= (0.31), RMSE=(0.05) and RAE= (35.89) and RRSE=(52.67). Finally<br />concluded that (Bagging+ Boosting) ensemble-II model is the best compare to other. https://journal.waocp.org/article_85939_7eb7452f0a9d81750257710a54bb244f.pdf