The use of Bayesian approach has the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and ensemble trees for explanatory variables are all together and at every stage on the other. In addition to obtaining the subsequent information at each node in the construction of these classification tree. Although bayesian estimates is generally accurate, but it seems that the logistic model is still a good competitor in the field of binary responses through its flexibility and mathematical representation. So is the use of three research methods data processing is carried out, namely: logistic model, and model classification regression tree, and bayesian regression tree model. Having been in this research compare these methods form a model for additive function to some nonparametric function. It was a trade-off between these process models based on the classification accuracy by misclassification error, and estimation accuracy by the root of the mean squares error: RMSE. It was the application on patients with diabetes data for those aged 15 years and below are taken from the sample size (200) was withdrawn from the Children Hospital in Al-Eskan / Baghdad.
م. د. ولاء طارق حميد, Al. Qadisiya journal for the Sciences of Physical Education, 2017
تُعد القيادة من المواضيع التي نالت اهتماماً كبيراً من لدن الباحثين في مختلف حقول المعرفة، وقد تعاظمت أهمية القيادة الإدارية في الوقت الحاضر نتيجة للتغيرات التي يشهدها العالم اليوم في جميع الميادين، وان نجاح القيادة الإدارية في ظل هذه التغيرات يتطلب قادة ذوي كفاءة عالية للقيام بأدوارهم على أفضل وجه من أجل تحقيق الأهداف الموكلة إليهم.
إن المهمة الأساسية لقادة اليوم تكمن في إحداث انطباع جي
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