knbahir/machinelearning-task-edubridge

Scenario Based Questions - ML EduBridge

MachineLearning-Task-EduBridge

Scenario Based Questions - ML EduBridge

--What I had done in this task.

1. In the above-mentioned file, I had done the (K-Nearest Neighbor)KNN Classifier for the data provided.

2. Founded the values with an accuracy of 90%.

3. The output had shown in the CSV file formate with the header as required. Also uploaded the output file as output.csv

4. The Code for this task will be in ML_Task_EduBridge_KNN.ipynb anyone can access it.

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Question - Description :-

You need to classify fetal health to avoid the abnormalities for the child and mother while giving birth. You will be provided with a CSV consisting of 22 columns out of which the first 21 columns are the factors based on which you need to classify the fetal health which is the last column . You need to classify the health status into the following:

1. 0-Normal

2. 0-Suspect

3. 0-Pathological

The columns in the CSV are:

a) baseline value (Baseline Fetal Heart Rate)

b) accelerations (Number of accelerations per second)

c) fetal_movement (Number of fetal movements per second)

d) uterine_contractions (Number of uterine contractions per second)

e) light_decelerations (Number of LDs per second)

f) severe_decelerations (Number of SDs per second)

g) prolongued_decelerations (Number of PDs per second)

h) abnormal_short_term_variability (Percentage of time with abnormal short term variability)

i) mean_value_of_short_term_variability

j) percentage_of_time_with_abnormal_long_term_variability

k) mean_value_of_long_term_variability

l) histogram_width (Width of the histogram made using all values from a record)

m) histogram_min

n) histogram_max

o) histogram_number_of_peaks

p) histogram_number_of_zeroes

q) histogram_mode

r) histogram_mean

s) histogram_median

t) histogram_variance

u) histogram_tendency

v) fetal_health

Training data set:

This data set will be available to the developers for training their model.

https://edubridgeindiain-my.sharepoint.com/:u:/g/personal/gaurav_hajela_edubridgeindia_in/EV0nE49gERFCkHLLudlWPlYBirh37eXNifwzNsC05PknwQ?e=SPtLoT

Validation data set:

This data set will be available to the developers for validating their model before they submit for evaluation.

https://edubridgeindiain-my.sharepoint.com/:u:/g/personal/gaurav_hajela_edubridgeindia_in/ETJfxPmlLr9OhyBt2AErfNMBrg0eS_gH_DBioV_Gu8mg5g?e=ZDwJlk

Test data set:

https://edubridgeindiain-my.sharepoint.com/:u:/g/personal/gaurav_hajela_edubridgeindia_in/ETglAwPr5HVAgHuyhPPxT5kBPPQzmYmT5p1KORTHnH2pcw?e=506dvr

Sample Output:

The output is given to show the format in which the output is expected (with header) and has no relation with above.

fetal_health

1.0

1.0

2.0

1.0

3.0

Create a CSV file with the header as “fetal_health”.