output.txt

 
Starting pipeline execution
 
Starting data extraction
Raw data path:  /Users/macpro/Documents/GitHub/fuel-electric-hybrid-vehicle-ml/data/raw
Clean data path:  /Users/macpro/Documents/GitHub/fuel-electric-hybrid-vehicle-ml/data/processed
 
Starting training model and evaluation
accuracy is 0.9495955196017424
score for training set 0.9947121034077556 score for testing set 0.9495955196017424
Balanced accuracy score 0.9261658848413624
Best parameters: {}
Cross-validated f1 weighted score on training data: 0.9832

              precision    recall  f1-score   support

           1       1.00      0.92      0.96        25
           2       0.93      0.99      0.96        82
           3       0.96      0.95      0.96       263
           4       0.96      0.95      0.95       375
           5       0.96      0.96      0.96       455
           6       0.93      0.94      0.93       198
           7       0.94      0.94      0.94       139
           8       0.90      0.78      0.84        36
           9       0.86      0.90      0.88        21
          10       1.00      0.92      0.96        13

    accuracy                           0.95      1607
   macro avg       0.94      0.93      0.93      1607
weighted avg       0.95      0.95      0.95      1607

 
Starting data prediction
 
Starting data clustering
Accuracy: 1.0
[[12408     0     0]
 [   42   377     0]
 [   11     0   237]]
              precision    recall  f1-score   support

           0       1.00      1.00      1.00     12408
           1       1.00      0.90      0.95       419
           2       1.00      0.96      0.98       248

    accuracy                           1.00     13075
   macro avg       1.00      0.95      0.97     13075
weighted avg       1.00      1.00      1.00     13075

name		      Ran?	   Elapsed (s)	   Percentage
predict_model	   0	   61		         49.593
data_extraction	0	   14		         11.382
train_model	      0	   37		         30.081
clustering	      0	   11		         8.943