Fitting 5 folds for each of 5 candidates, totalling 25 fits [CV 1/5] END .............................C=0.1;, score=0.875 total time= 0.0s [CV 2/5] END ..............................C=10;, score=0.714 total time= 0.0s [CV 3/5] END ..............................C=10;, score=0.857 total time= 0.0s [CV 4/5] END ..............................C=10;, score=0.857 total time= 0.0s [CV 5/5] END ..............................C=10;, score=0.857 total time= 0.0s [CV 1/5] END .............................C=100;, score=0.750 total time= 0.0s [CV 2/5] END .............................C=100;, score=0.714 total time= 0.0s [CV 4/5] END .............................C=0.1;, score=0.857 total time= 0.0s [CV 5/5] END .............................C=0.1;, score=0.857 total time= 0.0s [CV 2/5] END .............................C=0.1;, score=0.714 total time= 0.0s [CV 3/5] END .............................C=100;, score=0.857 total time= 0.0s [CV 5/5] END ...............................C=1;, score=0.857 total time= 0.0s [CV 2/5] END ...............................C=1;, score=0.714 total time= 0.0s [CV 4/5] END .............................C=100;, score=0.857 total time= 0.0s [CV 1/5] END ...............................C=1;, score=0.750 total time= 0.0s [CV 5/5] END .............................C=100;, score=0.857 total time= 0.0s [CV 4/5] END ...............................C=1;, score=0.857 total time= 0.0s /opt/homebrew/anaconda3/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations. warnings.warn( [CV 1/5] END ............................C=1000;, score=0.750 total time= 0.0s [CV 3/5] END ...............................C=1;, score=0.857 total time= 0.0s [CV 4/5] END ............................C=1000;, score=0.857 total time= 0.0s [CV 3/5] END .............................C=0.1;, score=0.857 total time= 0.0s [CV 1/5] END ..............................C=10;, score=0.750 total time= 0.0s [CV 3/5] END ............................C=1000;, score=0.857 total time= 0.0s [CV 2/5] END ............................C=1000;, score=0.714 total time= 0.0s /opt/homebrew/anaconda3/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations. warnings.warn( [CV 5/5] END ............................C=1000;, score=0.857 total time= 0.0s Cross-validation Accuracy Scores: [0.875 0.71428571 0.85714286 0.85714286 0.85714286] Mean Cross-validation Accuracy: 0.8321428571428571 Test Set Accuracy: 0.8 Classification Report: precision recall f1-score support 0 1.00 1.00 1.00 5 1 0.60 1.00 0.75 3 2 1.00 0.00 0.00 2 accuracy 0.80 10 macro avg 0.87 0.67 0.58 10 weighted avg 0.88 0.80 0.72 10