149 lines
5.1 KiB
Plaintext
149 lines
5.1 KiB
Plaintext
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============================================================
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IRIS
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============================================================
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--- Decision Tree ---
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Accuracy: 1.000
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Adj. Rand: 1.000
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precision recall f1-score support
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setosa 1.00 1.00 1.00 19
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versicolor 1.00 1.00 1.00 13
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virginica 1.00 1.00 1.00 13
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accuracy 1.00 45
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macro avg 1.00 1.00 1.00 45
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weighted avg 1.00 1.00 1.00 45
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--- Naive Bayes ---
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Accuracy: 0.978
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Adj. Rand: 0.943
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precision recall f1-score support
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setosa 1.00 1.00 1.00 19
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versicolor 1.00 0.92 0.96 13
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virginica 0.93 1.00 0.96 13
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accuracy 0.98 45
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macro avg 0.98 0.97 0.97 45
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weighted avg 0.98 0.98 0.98 45
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--- Random Forest ---
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Accuracy: 1.000
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Adj. Rand: 1.000
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precision recall f1-score support
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setosa 1.00 1.00 1.00 19
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versicolor 1.00 1.00 1.00 13
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virginica 1.00 1.00 1.00 13
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accuracy 1.00 45
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macro avg 1.00 1.00 1.00 45
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weighted avg 1.00 1.00 1.00 45
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--- K-Means (mapped) ---
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Accuracy: 0.893
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Adj. Rand: 0.730
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precision recall f1-score support
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setosa 1.00 1.00 1.00 50
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versicolor 0.77 0.96 0.86 50
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virginica 0.95 0.72 0.82 50
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accuracy 0.89 150
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macro avg 0.91 0.89 0.89 150
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weighted avg 0.91 0.89 0.89 150
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============================================================
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DIGITS
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============================================================
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--- Decision Tree ---
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Accuracy: 0.843
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Adj. Rand: 0.685
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precision recall f1-score support
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0 0.92 0.91 0.91 53
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1 0.74 0.78 0.76 50
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2 0.83 0.74 0.79 47
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3 0.78 0.85 0.81 54
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4 0.81 0.85 0.83 60
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5 0.92 0.86 0.89 66
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6 0.93 0.94 0.93 53
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7 0.85 0.84 0.84 55
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8 0.89 0.77 0.82 43
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9 0.78 0.85 0.81 59
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accuracy 0.84 540
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macro avg 0.85 0.84 0.84 540
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weighted avg 0.85 0.84 0.84 540
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--- Naive Bayes ---
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Accuracy: 0.852
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Adj. Rand: 0.710
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precision recall f1-score support
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0 1.00 0.98 0.99 53
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1 0.86 0.74 0.80 50
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2 0.86 0.66 0.75 47
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3 0.95 0.76 0.85 54
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4 0.98 0.85 0.91 60
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5 0.94 0.94 0.94 66
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6 0.89 0.96 0.93 53
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7 0.72 0.98 0.83 55
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8 0.57 0.91 0.70 43
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9 0.89 0.71 0.79 59
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accuracy 0.85 540
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macro avg 0.87 0.85 0.85 540
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weighted avg 0.88 0.85 0.85 540
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--- Random Forest ---
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Accuracy: 0.976
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Adj. Rand: 0.946
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precision recall f1-score support
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0 1.00 0.98 0.99 53
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1 0.96 1.00 0.98 50
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2 1.00 1.00 1.00 47
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3 0.98 0.96 0.97 54
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4 0.97 1.00 0.98 60
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5 0.97 0.95 0.96 66
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6 0.98 0.98 0.98 53
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7 0.98 0.98 0.98 55
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8 0.95 0.95 0.95 43
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9 0.97 0.95 0.96 59
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accuracy 0.98 540
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macro avg 0.98 0.98 0.98 540
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weighted avg 0.98 0.98 0.98 540
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--- K-Means (mapped) ---
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Accuracy: 0.794
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Adj. Rand: 0.667
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precision recall f1-score support
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0 0.99 0.99 0.99 178
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1 0.62 0.30 0.41 182
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2 0.84 0.84 0.84 177
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3 0.86 0.85 0.85 183
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4 0.99 0.92 0.95 181
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5 0.87 0.75 0.81 182
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6 0.97 0.98 0.98 181
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7 0.86 0.95 0.90 179
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8 0.45 0.59 0.51 174
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9 0.58 0.77 0.66 180
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accuracy 0.79 1797
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macro avg 0.80 0.79 0.79 1797
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weighted avg 0.80 0.79 0.79 1797
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