Problem solving on timeseries/regression for B-YOND DS Candidates
This document is intended for timeseries/regression problem solving on 3 features using ts_test_43.csv.
Description:
In this experiment , you are expected to predict 3 features Val_1, Val_2,Val_3 for next 4 sequence in the given series. MAPE will be used to measure of model’s succes. Keep in mind these values have interdependency between each other.
Data
43 Samples, 4 columns , data is sorted
Index:Index of row
Val_1: Numeric
Val_2: Numeric
Val_3: Numeric
Submission
In the submitted file you should add
1- Documentation of experiment including hardware , software ,cpu/gpu runtime information
2- Code snippet
3- 4 predictions for each feature in csv file formatted below
Sample:
Index,Val_1,Val_2,Val_3
44;15,481;8,615;24,684
45;29,798;5,401;35,222
46;33,705;5,670;42,900
47;11,734;4,906;38,390