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<html> |
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<head> |
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<title>GENE_FAMILY: S1Fa-like</title> |
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<style> |
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body { font-family: Arial, sans-serif; } |
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.container { border: 2px solid #ddd; margin: 20px; padding: 20px; } |
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.header { padding: 0.6em; background-color: #ffdddd; font-weight: bold; } |
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.title { padding: 0.6em; background-color: #80c4e6bd; font-weight: bold; } |
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.section { padding: 10px; } |
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.metrics { display: flex; } |
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.metrics ul { list-style: none; padding: 0; } |
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.metrics ul + ul { margin-left: 2em; } |
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.confusion-matrix img, .learning-curve img { width: 100%; max-width: 565px; } |
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.class_dist { width: 20em; } |
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.mod_sum { margin-bottom: 2em; } |
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</style> |
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</head> |
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<body> |
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<div class="container title"> |
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<h3>GENE_FAMILY: <a href='https://planttfdb.gao-lab.org/family.php?fam=S1Fa-like' target='_blank'>S1Fa-like</a></h3> |
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</div> |
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<div class="container"> |
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<div class="header">MODEL: FEEDFORWARD_k2</div> |
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<div style="display: flex;"> |
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<div class="section"> |
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<h2 class='mod_sum'>Model Architecture</h2> |
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<pre>Model: "FEEDFORWARD_k2" |
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ |
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┃ Layer (type) ┃ Output Shape ┃ Param # ┃ |
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ |
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│ dense (Dense) │ (None, 256) │ 110,592 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout (Dropout) │ (None, 256) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_1 (Dense) │ (None, 128) │ 32,896 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_1 (Dropout) │ (None, 128) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_2 (Dense) │ (None, 64) │ 8,256 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_2 (Dropout) │ (None, 64) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_3 (Dense) │ (None, 32) │ 2,080 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_3 (Dropout) │ (None, 32) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_4 (Dense) │ (None, 1) │ 33 │ |
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└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘ |
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Total params: 461,573 (1.76 MB) |
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Trainable params: 153,857 (601.00 KB) |
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Non-trainable params: 0 (0.00 B) |
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Optimizer params: 307,716 (1.17 MB) |
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</pre> |
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</div> |
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<div class="section learning-curve"> |
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<h2>Learning Curve</h2> |
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<img src="data:image/png;base64,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" alt="Learning Curve"> |
|
</div> |
|
</div> |
|
<div style="display: flex;"> |
|
<div class="section class_dist"> |
|
<h2>Class Distribution</h2> |
|
<pre> Count Percentage |
|
class |
|
1 359 51.36 |
|
0 340 48.64</pre> |
|
<h3>Additional Metrics</h3> |
|
<ul> |
|
<li>Total Samples: 699</li> |
|
<li>Imbalance Ratio: 1.06</li> |
|
</ul> |
|
</div> |
|
<div class="section"> |
|
<h2>Classification Report</h2> |
|
<pre> precision recall f1-score support |
|
|
|
Class 0 0.9855 1.0000 0.9927 68 |
|
Class 1 1.0000 0.9861 0.9930 72 |
|
|
|
accuracy 0.9929 140 |
|
macro avg 0.9928 0.9931 0.9929 140 |
|
weighted avg 0.9930 0.9929 0.9929 140 |
|
</pre> |
|
<h3>Metrics</h3> |
|
<div class="metrics"> |
|
<ul> |
|
<li>True Positives (TP): 71</li> |
|
<li>True Negatives (TN): 68</li> |
|
</ul> |
|
<ul> |
|
<li>False Positives (FP): 0</li> |
|
<li>False Negatives (FN): 1</li> |
|
</ul> |
|
</div> |
|
</div> |
|
<div class="section confusion-matrix"> |
|
<h2>Confusion Matrix</h2> |
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<img 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" alt="Confusion Matrix"> |
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</div> |
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</div> |
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</div> |
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|
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<div class="container"> |
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<div class="header">MODEL: FEEDFORWARD_k3</div> |
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<div style="display: flex;"> |
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<div class="section"> |
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<h2 class='mod_sum'>Model Architecture</h2> |
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<pre>Model: "FEEDFORWARD_k3" |
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ |
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┃ Layer (type) ┃ Output Shape ┃ Param # ┃ |
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ |
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│ dense_5 (Dense) │ (None, 256) │ 2,054,912 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_4 (Dropout) │ (None, 256) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_6 (Dense) │ (None, 128) │ 32,896 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_5 (Dropout) │ (None, 128) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_7 (Dense) │ (None, 64) │ 8,256 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_6 (Dropout) │ (None, 64) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_8 (Dense) │ (None, 32) │ 2,080 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_7 (Dropout) │ (None, 32) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_9 (Dense) │ (None, 1) │ 33 │ |
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└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘ |
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Total params: 6,294,533 (24.01 MB) |
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Trainable params: 2,098,177 (8.00 MB) |
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Non-trainable params: 0 (0.00 B) |
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Optimizer params: 4,196,356 (16.01 MB) |
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</pre> |
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</div> |
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<div class="section learning-curve"> |
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<h2>Learning Curve</h2> |
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<img 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" alt="Learning Curve"> |
|
</div> |
|
</div> |
|
<div style="display: flex;"> |
|
<div class="section class_dist"> |
|
<h2>Class Distribution</h2> |
|
<pre> Count Percentage |
|
class |
|
1 359 51.36 |
|
0 340 48.64</pre> |
|
<h3>Additional Metrics</h3> |
|
<ul> |
|
<li>Total Samples: 699</li> |
|
<li>Imbalance Ratio: 1.06</li> |
|
</ul> |
|
</div> |
|
<div class="section"> |
|
<h2>Classification Report</h2> |
|
<pre> precision recall f1-score support |
|
|
|
Class 0 0.9577 1.0000 0.9784 68 |
|
Class 1 1.0000 0.9583 0.9787 72 |
|
|
|
accuracy 0.9786 140 |
|
macro avg 0.9789 0.9792 0.9786 140 |
|
weighted avg 0.9795 0.9786 0.9786 140 |
|
</pre> |
|
<h3>Metrics</h3> |
|
<div class="metrics"> |
|
<ul> |
|
<li>True Positives (TP): 69</li> |
|
<li>True Negatives (TN): 68</li> |
|
</ul> |
|
<ul> |
|
<li>False Positives (FP): 0</li> |
|
<li>False Negatives (FN): 3</li> |
|
</ul> |
|
</div> |
|
</div> |
|
<div class="section confusion-matrix"> |
|
<h2>Confusion Matrix</h2> |
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<img 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" alt="Confusion Matrix"> |
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</div> |
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</div> |
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</div> |
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<div class="container"> |
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<div class="header">MODEL: FEEDFORWARD_k4</div> |
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<div style="display: flex;"> |
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<div class="section"> |
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<h2 class='mod_sum'>Model Architecture</h2> |
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<pre>Model: "FEEDFORWARD_k4" |
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ |
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┃ Layer (type) ┃ Output Shape ┃ Param # ┃ |
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ |
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│ dense_10 (Dense) │ (None, 256) │ 18,299,136 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_8 (Dropout) │ (None, 256) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_11 (Dense) │ (None, 128) │ 32,896 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_9 (Dropout) │ (None, 128) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_12 (Dense) │ (None, 64) │ 8,256 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dropout_10 (Dropout) │ (None, 64) │ 0 │ |
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├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ |
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│ dense_13 (Dense) │ (None, 1) │ 65 │ |
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└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘ |
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Total params: 55,021,061 (209.89 MB) |
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Trainable params: 18,340,353 (69.96 MB) |
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Non-trainable params: 0 (0.00 B) |
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Optimizer params: 36,680,708 (139.93 MB) |
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</pre> |
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</div> |
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<div class="section learning-curve"> |
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<h2>Learning Curve</h2> |
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<img 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" alt="Learning Curve"> |
|
</div> |
|
</div> |
|
<div style="display: flex;"> |
|
<div class="section class_dist"> |
|
<h2>Class Distribution</h2> |
|
<pre> Count Percentage |
|
class |
|
1 359 51.36 |
|
0 340 48.64</pre> |
|
<h3>Additional Metrics</h3> |
|
<ul> |
|
<li>Total Samples: 699</li> |
|
<li>Imbalance Ratio: 1.06</li> |
|
</ul> |
|
</div> |
|
<div class="section"> |
|
<h2>Classification Report</h2> |
|
<pre> precision recall f1-score support |
|
|
|
Class 0 0.9444 1.0000 0.9714 68 |
|
Class 1 1.0000 0.9444 0.9714 72 |
|
|
|
accuracy 0.9714 140 |
|
macro avg 0.9722 0.9722 0.9714 140 |
|
weighted avg 0.9730 0.9714 0.9714 140 |
|
</pre> |
|
<h3>Metrics</h3> |
|
<div class="metrics"> |
|
<ul> |
|
<li>True Positives (TP): 68</li> |
|
<li>True Negatives (TN): 68</li> |
|
</ul> |
|
<ul> |
|
<li>False Positives (FP): 0</li> |
|
<li>False Negatives (FN): 4</li> |
|
</ul> |
|
</div> |
|
</div> |
|
<div class="section confusion-matrix"> |
|
<h2>Confusion Matrix</h2> |
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<img 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" alt="Confusion Matrix"> |
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