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