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Analysis of performance metrics of heart failured patients using Python and machine learning algorithms

Analysis of performance metrics of heart failured patients using Python and machine learning algorithms 7prm3
The heart is one of the most important organs in the human body. In life, some changes can occur leading to many different diseases such as blood pressure, blood sugar, etc. Similarly, heart failure is also a scary disease. Heart failure is a serious condition and there is no cure for it. Predicting heart failure is a complex task in the medical field. The rate of heart failure is increasing day by day as well as the percentage of the population is also increasing day by day. This paper aims to analyze percentage-based machine learning algorithms of various performance metrics using Machine Learning Methods. The best-fit algorithm for each metric is predicted. It is analyzed using specific variables in the data set using various supervised machine learning algorithms including, Decision Trees, Logistic Regression, KNN and Random Forest.
The
You use this word too often, consider replacing it with
heart
is one of the most
This phrase/word is too simple and can be replaced with:
important
organs in the human body. In life,
This phrase/word is too simple and can be replaced with:
some
This phrase/word (depending on the context) can be potentially replaced with :
changes
can occur leading to
This phrase/word is too simple and can be replaced with:
many
This phrase/word is too simple and can be replaced with:
different
diseases such as blood pressure, blood sugar, etc.
Similarly
,
You use this word too often, consider replacing it with
heart
You use this word too often, consider replacing it with
failure
is
also
a scary disease.
You use this word too often, consider replacing it with
Heart
You use this word too often, consider replacing it with
failure
is a serious condition and there is no cure for it. Predicting
You use this word too often, consider replacing it with
heart
You use this word too often, consider replacing it with
failure
is a complex task in the medical field. The rate of
You use this word too often, consider replacing it with
heart
You use this word too often, consider replacing it with
failure
is increasing day by day
as well
as the percentage of the population is
also
increasing day by day. This paper aims to analyze percentage-based machine learning algorithms of various performance metrics using Machine Learning Methods. The best-fit algorithm for each metric
is predicted
. It
is analyzed
using specific variables in the data set using various supervised machine learning algorithms including, Decision Trees, Logistic Regression,
Possible spelling mistake found.
KNN
and Random Forest.
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IELTS essay Analysis of performance metrics of heart failured patients using Python and machine learning algorithms

Essay
  American English
1 paragraphs
137 words
This writing has been penalized,
text can't be
less than 250 words in Task 2
and less than 150 words in Task 1
5.0
Overall Band Score
Coherence and Cohesion: 5.5
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Lexical Resource: 5.5
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Grammatical Range: 6.5
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Task Achievement: 5.5
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    Present relevant ideas
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