[#432] Improved tenant pays landlord regression

[Samuel-Campbell]

1) Alternated activations functions between 'relu' and 'linear' 2) Removed outlier from dataset 3) Only train regressor based on important facts weighted by the classifier 4) Decreased epoch which was over-fitting data

R2: 0.72 absolute error: 302.01

R2 score is decresed from ~ 0.8 possible because less facts are given. --> I think more unimportant facts skew the results with false positivism

absolute error down from 377

• [x] retrained models from A-Z
• [x] test on docker build

[codecov[bot]]

Codecov Report

Merging #433 into master will increase coverage by 0.14%. The diff coverage is 62.96%.

@@            Coverage Diff            @@
##           master    #433      +/-   ##
=========================================
+ Coverage   70.96%   71.1%   +0.14%     
=========================================
  Files          54      54              
  Lines        2273    2291      +18     
  Branches       24      24              
=========================================
+ Hits         1613    1629      +16     
- Misses        659     661       +2     
  Partials        1       1

Impacted Files	Coverage Δ
src/ml_service/init.py	83.33% <ø> (ø)	:arrow_up:
...n/single_output_regression/tenant_pays_landlord.py	35.48% <0%> (ø)	:arrow_up:
...ture_extraction/post_processing/regex/regex_lib.py	100% <100%> (ø)	:arrow_up:
...ion/single_output_regression/abstract_regressor.py	50% <71.42%> (+5.4%)	:arrow_up:
...raining/classifier/multi_output/multi_class_svm.py	86.84% <0%> (+1.97%)	:arrow_up:

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