Install conda env

cd bin 
sh creat_env.sh

update env

conda env update --prefix ./env --file environment.yml --prune

run the code

python demo.py

results

LogisticRegression Accuracy: 0.9922
LogisticRegression Confusion matrix:
 [[541 0 0 1 0 2 0 0]
 [ 1 474 0 0 1 0 0 0]
 [ 0 0 477 0 2 1 0 0]
 [ 2 0 1 488 0 0 1 3]
 [ 0 0 0 2 493 2 1 2]
 [ 1 1 0 0 1 480 0 1]
 [ 2 1 0 0 0 0 484 2]
 [ 0 0 0 0 0 0 0 532]]
SVM Accuracy: 0.9808
SVM Confusion matrix:
 [[537 2 1 0 1 3 0 0]
 [ 1 468 1 2 2 0 0 2]
 [ 2 0 470 4 2 2 0 0]
 [ 6 0 0 481 1 0 1 6]
 [ 1 1 2 2 487 2 2 3]
 [ 1 3 1 1 2 475 0 1]
 [ 2 1 0 0 0 2 483 1]
 [ 2 0 0 0 1 1 6 522]]
RF Accuracy: 0.9595
RF Confusion matrix:
 [[527 1 1 2 2 2 4 5]
 [ 3 458 3 2 3 0 2 5]
 [ 2 2 460 5 3 3 4 1]
 [ 6 1 2 471 4 1 5 5]
 [ 0 4 1 8 478 3 3 3]
 [ 4 9 3 4 3 453 4 4]
 [ 1 1 3 2 2 1 477 2]
 [ 0 2 4 4 4 0 4 514]]
MLP Accuracy: 0.9842
MLP Confusion matrix:
 [[533 2 3 2 0 2 2 0]
 [ 0 470 2 1 1 0 0 2]
 [ 1 0 475 1 1 2 0 0]
 [ 1 1 4 488 0 0 1 0]
 [ 0 0 4 9 483 1 2 1]
 [ 3 2 1 1 0 476 0 1]
 [ 1 0 0 0 0 0 486 2]
 [ 1 0 1 2 0 2 0 526]]
dict_keys(['__header__', '__version__', '__globals__', 'LR', 'SVM', 'RF', 'NN', 'Truth'])