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hiroshiro000
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fallenrised
Eternal Poster
a. Support & protect ion: head and neck - bones of the head and neck play a vital role in protecting the brain,sensory organs, nerves, blood vessels of the head and proctecting these structures from mechanical damage. movement of these bones by the attached muscles of the head provide for facial E×ρréššions, eating, speech and head movement.
Upper trunk with upper extremities- it will help in grasping and skilled movements.
Lower trunk with lower extremities- helps in weight bearing and locomotions.
Energy acquisition , nutrition, metabolism: head- brain plays important role in homeostatic regulation of energy metabolism, brain integrates multiple peripheral metabolic inputs Such as nutrients, gut derived hormones, adiposity related signals.
Upper trunk- body energy metabolism is from three sources carbohydrates, lipids and protiens. During body working it will control the impulses in the body parts and controls the body's total kinetic energy.
Lower trunk- it will play vital role in transfer of mechanical energy from legs to trunk.
Transport of gases and fluids: head- binding of oxygen to hemoglobin is a function of partial pressure of oxygen in the blood. Gases exchange and trasport is controlled by hemoglobin protien.
Upper trunk-lymphatic drainage is involving in tissue fluid moving , cellular debris and plasma protiens movement in the body.
Lower trunk- tissue in the lower will have less tahn normal cells hemoglobin.
Communication and regulations: head and neck- it includes brain, muscles, nerves, blood cells. Brain sends instructions through nerve cells such that body parts will work and communicate. All iq levels, mental status all controlled by brain.
Upper trunk- important in ensuring in postural control like sitting,mobility, development of upper extremity.
Lower trunk-leg is the lower extremity of the body extending from hip to the knee. it connects to the hip of the body. Regulation of movements, locomotion are the function s.
Homeostasis- head and neck includes bloodvessels, brain, facial parts, neck includes various glands that controls the body homeostasis. Body homeostasis controlled by majorly endocrine and nervous system s.
Upper trunk- regulation of body blood pressure, ph , temparature , glucose concentration are examples for body is under homeostasis.
Lower trunk- leg muscles , blood vessels , pressure are more sensitive to homeostasis.
Growth and development: head- neck are important in embryonic growth and development because it includes hormonal glands, sensary organs etc.
Upper trunk- in growth and development hands or upper trunks also plays important role from embryonic stage to senescence stage.
Lower trunk - legs also connects the hip to the upper portion of the body . Plays role in embryonic and adults growth and development.
====================
Upper trunk with upper extremities- it will help in grasping and skilled movements.
Lower trunk with lower extremities- helps in weight bearing and locomotions.
Energy acquisition , nutrition, metabolism: head- brain plays important role in homeostatic regulation of energy metabolism, brain integrates multiple peripheral metabolic inputs Such as nutrients, gut derived hormones, adiposity related signals.
Upper trunk- body energy metabolism is from three sources carbohydrates, lipids and protiens. During body working it will control the impulses in the body parts and controls the body's total kinetic energy.
Lower trunk- it will play vital role in transfer of mechanical energy from legs to trunk.
Transport of gases and fluids: head- binding of oxygen to hemoglobin is a function of partial pressure of oxygen in the blood. Gases exchange and trasport is controlled by hemoglobin protien.
Upper trunk-lymphatic drainage is involving in tissue fluid moving , cellular debris and plasma protiens movement in the body.
Lower trunk- tissue in the lower will have less tahn normal cells hemoglobin.
Communication and regulations: head and neck- it includes brain, muscles, nerves, blood cells. Brain sends instructions through nerve cells such that body parts will work and communicate. All iq levels, mental status all controlled by brain.
Upper trunk- important in ensuring in postural control like sitting,mobility, development of upper extremity.
Lower trunk-leg is the lower extremity of the body extending from hip to the knee. it connects to the hip of the body. Regulation of movements, locomotion are the function s.
Homeostasis- head and neck includes bloodvessels, brain, facial parts, neck includes various glands that controls the body homeostasis. Body homeostasis controlled by majorly endocrine and nervous system s.
Upper trunk- regulation of body blood pressure, ph , temparature , glucose concentration are examples for body is under homeostasis.
Lower trunk- leg muscles , blood vessels , pressure are more sensitive to homeostasis.
Growth and development: head- neck are important in embryonic growth and development because it includes hormonal glands, sensary organs etc.
Upper trunk- in growth and development hands or upper trunks also plays important role from embryonic stage to senescence stage.
Lower trunk - legs also connects the hip to the upper portion of the body . Plays role in embryonic and adults growth and development.
====================
fallenrised
Eternal Poster
Class Imbalance is a particular situation where the number of observations which belongs to a class is lower than those which belongs to the other classes. Class Imbalance problem is common in situations where anomaly detection is vital like fraudulent transactions in banks, electricity pilferage, medical diagnosis, oil spillage detection, facial recognition etc. In this scenario, the predictive model developed using the machine learning algorithms could be biased and inaccurate.
Most machine learning algorithms works well when the number of instances of each classes are almost equal. When the number of instances of one class is more than the other, the difficulty arises. The following is the example
Given a dataset of transactions, we would like to find which are genuine ones and which are fraudulent. As fraudulent cases impacts the business on a higher note, we need to find out as many as possible to be on a safer side.If there is a transactions data consists of 100000 genuine and 100 fraudulent transactions, the algorithm will have more chances to classify fraudulent transactions as genuine transactions. This is because of a very big and a small number of genuine and fraudulent transactions. To avoid such thing if the algorithm has the possibility of 2 outputs we could find the fraudulent transactions correctly.
Model 1 classified 70 out of 100 fraudulent transactions as genuine transactions and 100 out of 100000 genuine transactions as fraudulent transactions.
Model 2 classified 20 out of 100 fraudulent transactions as genuine transactions and 1000 out of 100000 genuine transactions as fraudulent transactions.
If the classifier’s performance is determined by the number of mistakes, then Model 1 is better as it makes a total of 170 mistakes while Model 2 makes 1020 mistakes. As we want to reduce the number of fraudulent transactions, we should pick Model 2 instead which made 20 mistakes classifying the fraudulent transactions. But we know the fact that, this could consider more genuine transactions as fraudulent transactions. However if we want accurate results this is fine. So, they have come up with a metrics named True Positive, True Negative, False Positive and False Negative.
Based on these metrics, In model 1:
30 - True Positive
70 - False Negative
100 - False Positive
99900 - True Negative
So, the Error = (False Negative + False Positive)/ total
Error = 0.1%
Based on these metrics, In model 2:
80 - True Positive
20 - False Negative
1000 - False Positive
99000 - True Negative
So, the Error = (False Negative + False Positive)/ total
Error = 1%
As the error of Model 2 is more, it is the better one to consider.
Most machine learning algorithms works well when the number of instances of each classes are almost equal. When the number of instances of one class is more than the other, the difficulty arises. The following is the example
Given a dataset of transactions, we would like to find which are genuine ones and which are fraudulent. As fraudulent cases impacts the business on a higher note, we need to find out as many as possible to be on a safer side.If there is a transactions data consists of 100000 genuine and 100 fraudulent transactions, the algorithm will have more chances to classify fraudulent transactions as genuine transactions. This is because of a very big and a small number of genuine and fraudulent transactions. To avoid such thing if the algorithm has the possibility of 2 outputs we could find the fraudulent transactions correctly.
Model 1 classified 70 out of 100 fraudulent transactions as genuine transactions and 100 out of 100000 genuine transactions as fraudulent transactions.
Model 2 classified 20 out of 100 fraudulent transactions as genuine transactions and 1000 out of 100000 genuine transactions as fraudulent transactions.
If the classifier’s performance is determined by the number of mistakes, then Model 1 is better as it makes a total of 170 mistakes while Model 2 makes 1020 mistakes. As we want to reduce the number of fraudulent transactions, we should pick Model 2 instead which made 20 mistakes classifying the fraudulent transactions. But we know the fact that, this could consider more genuine transactions as fraudulent transactions. However if we want accurate results this is fine. So, they have come up with a metrics named True Positive, True Negative, False Positive and False Negative.
Based on these metrics, In model 1:
30 - True Positive
70 - False Negative
100 - False Positive
99900 - True Negative
So, the Error = (False Negative + False Positive)/ total
Error = 0.1%
Based on these metrics, In model 2:
80 - True Positive
20 - False Negative
1000 - False Positive
99000 - True Negative
So, the Error = (False Negative + False Positive)/ total
Error = 1%
As the error of Model 2 is more, it is the better one to consider.
fallenrised
Eternal Poster
A)
L0oph0le0001
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Thank you po..
Thank you po..Kakapalan ko na po mukha ko ts. Thank you po in advance
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L0oph0le0001
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