skipping use_case2 sample_2.csv no valid z value for drop.
skipping use_case2 sample_41.csv no valid z value for drop.
skipping use_case2 sample_56.csv no valid z value for drop.
skipping use_case2 sample_62.csv no valid z value for drop.
skipping use_case2 sample_69.csv no valid z value for drop.
skipping use_case2 sample_75.csv no valid z value for drop.
skipping use_case2 sample_99.csv no valid z value for drop.
skipping use_case3 sample_104.csv no valid z value for drop.
skipping use_case3 sample_14.csv no valid z value for drop.
skipping use_case3 sample_27.csv no valid z value for drop.
skipping use_case3 sample_68.csv no valid z value for drop.
skipping use_case3 sample_88.csv no valid z value for drop.
skipping use_case3 sample_9.csv no valid z value for drop.
skipping use_case4 sample_27.csv no valid z value for drop.
skipping use_case4 sample_33.csv no valid z value for drop.
skipping use_case4 sample_53.csv no valid z value for drop.
skipping use_case4 sample_57.csv no valid z value for drop.
skipping use_case4 sample_61.csv no valid z value for drop.
mean [-6.77809334e-16 1.28491676e-13 1.28491676e-13 6.59981445e-17
2.91957894e-16 3.24397660e-17]
std [1. 1. 1. 1. 1. 1.]
stop
/home/alejandro/.local/lib/python3.8/site-packages/sklearn/utils/validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
return f(**kwargs)
svm_out [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
y test [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 0. 1. 1. 1. 1.]
svm_out == y_test [ True True True True True True True True True True True True
True True True False True True True True]
accuracy: 95.0
v0lta
commented
4 years ago
skipping use_case2 sample_2.csv no valid z value for drop. skipping use_case2 sample_41.csv no valid z value for drop. skipping use_case2 sample_56.csv no valid z value for drop. skipping use_case2 sample_62.csv no valid z value for drop. skipping use_case2 sample_69.csv no valid z value for drop. skipping use_case2 sample_75.csv no valid z value for drop. skipping use_case2 sample_99.csv no valid z value for drop. skipping use_case3 sample_104.csv no valid z value for drop. skipping use_case3 sample_14.csv no valid z value for drop. skipping use_case3 sample_27.csv no valid z value for drop. skipping use_case3 sample_68.csv no valid z value for drop. skipping use_case3 sample_88.csv no valid z value for drop. skipping use_case3 sample_9.csv no valid z value for drop. skipping use_case4 sample_27.csv no valid z value for drop. skipping use_case4 sample_33.csv no valid z value for drop. skipping use_case4 sample_53.csv no valid z value for drop. skipping use_case4 sample_57.csv no valid z value for drop. skipping use_case4 sample_61.csv no valid z value for drop. mean [-6.77809334e-16 1.28491676e-13 1.28491676e-13 6.59981445e-17 2.91957894e-16 3.24397660e-17] std [1. 1. 1. 1. 1. 1.] stop /home/alejandro/.local/lib/python3.8/site-packages/sklearn/utils/validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(**kwargs) svm_out [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] y test [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 0. 1. 1. 1. 1.] svm_out == y_test [ True True True True True True True True True True True True True True True False True True True True] accuracy: 95.0