| <html> | |
| <head> | |
| <title>GENE_FAMILY: LFY</title> | |
| <style> | |
| body { font-family: Arial, sans-serif; } | |
| .container { border: 2px solid #ddd; margin: 20px; padding: 20px; } | |
| .header { padding: 0.6em; background-color: #ffdddd; font-weight: bold; } | |
| .title { padding: 0.6em; background-color: #80c4e6bd; font-weight: bold; } | |
| .section { padding: 10px; } | |
| .metrics { display: flex; } | |
| .metrics ul { list-style: none; padding: 0; } | |
| .metrics ul + ul { margin-left: 2em; } | |
| .confusion-matrix img, .learning-curve img { width: 100%; max-width: 565px; } | |
| .class_dist { width: 20em; } | |
| .mod_sum { margin-bottom: 2em; } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container title"> | |
| <h3>GENE_FAMILY: <a href='https://planttfdb.gao-lab.org/family.php?fam=LFY' target='_blank'>LFY</a></h3> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k2</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k2" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ | |
| │ dense (Dense) │ (None, 256) │ 111,360 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout (Dropout) │ (None, 256) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_1 (Dense) │ (None, 128) │ 32,896 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_1 (Dropout) │ (None, 128) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_2 (Dense) │ (None, 64) │ 8,256 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_2 (Dropout) │ (None, 64) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_3 (Dense) │ (None, 32) │ 2,080 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_3 (Dropout) │ (None, 32) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_4 (Dense) │ (None, 1) │ 33 │ | |
| └──────────────────────────────────────┴─────────────────────────────┴─────────────────┘ | |
| Total params: 463,877 (1.77 MB) | |
| Trainable params: 154,625 (604.00 KB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 309,252 (1.18 MB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <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 | |
| 1 253 51.53 | |
| 0 238 48.47</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 491</li> | |
| <li>Imbalance Ratio: 1.06</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 1.0000 0.9792 0.9895 48 | |
| Class 1 0.9808 1.0000 0.9903 51 | |
| accuracy 0.9899 99 | |
| macro avg 0.9904 0.9896 0.9899 99 | |
| weighted avg 0.9901 0.9899 0.9899 99 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 51</li> | |
| <li>True Negatives (TN): 47</li> | |
| </ul> | |
| <ul> | |
| <li>False Positives (FP): 1</li> | |
| <li>False Negatives (FN): 0</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="section confusion-matrix"> | |
| <h2>Confusion Matrix</h2> | |
| <img src="data:image/png;base64,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" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k3</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k3" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ | |
| │ dense_5 (Dense) │ (None, 256) │ 2,036,736 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_4 (Dropout) │ (None, 256) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_6 (Dense) │ (None, 128) │ 32,896 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_5 (Dropout) │ (None, 128) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_7 (Dense) │ (None, 64) │ 8,256 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_6 (Dropout) │ (None, 64) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_8 (Dense) │ (None, 32) │ 2,080 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_7 (Dropout) │ (None, 32) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_9 (Dense) │ (None, 1) │ 33 │ | |
| └──────────────────────────────────────┴─────────────────────────────┴─────────────────┘ | |
| Total params: 6,240,005 (23.80 MB) | |
| Trainable params: 2,080,001 (7.93 MB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 4,160,004 (15.87 MB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <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 | |
| 1 253 51.53 | |
| 0 238 48.47</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 491</li> | |
| <li>Imbalance Ratio: 1.06</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 0.9796 1.0000 0.9897 48 | |
| Class 1 1.0000 0.9804 0.9901 51 | |
| accuracy 0.9899 99 | |
| macro avg 0.9898 0.9902 0.9899 99 | |
| weighted avg 0.9901 0.9899 0.9899 99 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 50</li> | |
| <li>True Negatives (TN): 48</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> | |
| <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAA0B0lEQVR4nO3dfVxUdf7//+cBZQS5SE1nxKswqTStTFvFXKULyevM2jLb0tVaM91kMTE1hTYFNb9qhlrZpm6bWWlZW+bqamEbPwvzitS0FKU+iWghKtrQ4vn94cf57AgWOgfOMDzu3c7tJu9zZuY1NLd89nq/z3sM0zRNAQAAwDJBdhcAAAAQaAhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAQDWUmpoqwzC8DpfL5TlvmqZSU1MVHR2t0NBQxcfHa+fOnTZWXLMQsAAAqKauvfZaHTp0yHPk5OR4zs2cOVOzZ89WRkaGsrOz5XK51KNHD504ccLGimsOAhYAANVUrVq15HK5PEfDhg0lne1ezZ07V5MmTdLAgQPVtm1bLV26VKdOndKyZctsrrpmIGABAOBH3G63jh8/7nW43e5yr/36668VHR2tmJgYDRo0SPv375ck5ebmKj8/XwkJCZ5rHQ6HunfvrqysrCp5HzVdLbsLqE4mhdSzuwSg0k07dsDuEoDKFxZVaU/9qBHp0+NdKUl6+umnvcZSUlKUmprqNdapUyf97W9/01VXXaXDhw9r6tSp6tKli3bu3Kn8/HxJktPp9HqM0+nUwYMHfaoPFUPAAgDAQr5ODU2YMEFJSUleYw6Ho8x1vXr18vy5Xbt2iouL05VXXqmlS5eqc+fOkiTDMLweY5pmmTFUDqYIAQCwUJBh+HQ4HA5FRkZ6HeUFrPPVrVtX7dq109dff+25m/BcJ+ucgoKCMl0tVA4CFgAAAcDtdmv37t1q3LixYmJi5HK5tG7dOs/5kpISZWZmqkuXLjZWWXMwRQgAgIWqqnPxxBNPqF+/fmrevLkKCgo0depUHT9+XEOGDJFhGEpMTFRaWppiY2MVGxurtLQ0hYWFafDgwVVUYc1GwAIAwEJBVbTE6bvvvtP999+vo0ePqmHDhurcubM2bdqkFi1aSJKSk5N1+vRpPfbYYyosLFSnTp20du1aRUREVE2BNZxhmqZpdxHVBXcRoibgLkLUCJV4F2FSsG/PPbu0yKJKYCc6WAAAWCiIu/QgAhYAAJbi7jFIfA4AAAAsRwcLAAALVdUid/g3AhYAABZiaggSAQsAAEvxVTSQCFgAAFiKDhYkAhYAAJZiDRYkgjYAAIDl6GABAGAhOheQCFgAAFiKndwhEbAAALAUHSxIBCwAACzFIndIBCwAACxFBwsSnwMAAADL0cECAMBCQWKOEAQsAAAsxRosSAQsAAAsxdobSAQsAAAsRQcLEgELAABLsQYLEp1MAAAAy9HBAgDAQkwRQiJgAQBgKaaGIBGwAACwFB0sSAQsAAAsxSJ3SAQsAAAsRQcLElPFAAAAlqODBQCAhWhgQSJgAQBgKaYIIRGwAACwFIvcIRGwAACwFB0sSCxyBwAAsBwdLAAALETnAhIBCwAASzFDCImABQCApYIMIhYIWAAAWIp4BYmABQCApQhYkFiLBwAAYDk6WAAAWIgOFiQCFgAAljJY5A4RsAAAsBTxChIBCwAAS7G4GRIBCwAASzFDCImgDQAAYDk6WAAAWMhgFRZEwAIAwFLEK0gELAAALEXAghSAAau4uFjLli1TVlaW8vPzZRiGnE6nbr75Zt1///2qW7eu3SUCAAJYEAkLCrBF7rt27dJVV12l5ORkFRYWqnnz5mratKkKCws1btw4XX311dq1a5fdZQIAApjh4z8IDAHVwRo1apS6deumpUuXKiQkxOtcSUmJhg4dqlGjRumjjz6yqUIAAFATBFQH67PPPtPkyZPLhCtJCgkJ0cSJE/XZZ5/ZUBkAoKYwfDwuVXp6ugzDUGJiomfMNE2lpqYqOjpaoaGhio+P186dO314FVRUQAWsevXq6euvv77g+W+++Ub16tWrwooAADWNYfh2XIrs7Gy99NJLuu6667zGZ86cqdmzZysjI0PZ2dlyuVzq0aOHTpw4YcE7xS8JqID1yCOPaMiQIZo1a5a2b9+u/Px8HT58WNu3b9esWbM0bNgwjRgxwu4yAQABrKo7WCdPntQDDzygRYsWeTURTNPU3LlzNWnSJA0cOFBt27bV0qVLderUKS1btsyHd4iKCKg1WKmpqQoNDdXs2bOVnJzs+UZz0zTlcrn05JNPKjk52eYqAQCBLKiKF6qPGjVKffr00e23366pU6d6xnNzc5Wfn6+EhATPmMPhUPfu3ZWVlUXDoZIFVMCSpPHjx2v8+PGeD5YkuVwuxcTE2FwZAKAm8DVeud1uud1urzGHwyGHw1Hm2uXLl2vLli3Kzs4uc+7c34FOp9Nr3Ol06uDBgz5WiV8TUFOE/y0mJkZxcXGKi4sjXAEAqo309HRFRUV5Henp6WWu+/bbbzVmzBj9/e9/V506dS74fMZ5C7tM0ywzBusFXAcLAAA7+ZpdJkyYoKSkJK+x8rpXX3zxhQoKCtShQwfPWGlpqTZu3KiMjAzt2bNH0tlOVuPGjT3XFBQUlOlqwXoELAAALORrb+hC04Hnu+2225STk+M19oc//EHXXHONxo8fr5YtW8rlcmndunVq3769pLN7QmZmZmrGjBk+VolfQ8ACAMBCVbUbe0REhNq2bes1VrduXTVo0MAznpiYqLS0NMXGxio2NlZpaWkKCwvT4MGDq6TGmoyABQCAhfzpuwiTk5N1+vRpPfbYYyosLFSnTp20du1aRURE2F1awDNM0zTtLsJqa9asUXh4uLp27SpJmj9/vhYtWqQ2bdpo/vz5l7zZ6KQQNilF4Jt27IDdJQCVLyyq0p76E2dTnx7/28PfWVQJ7BSQdxGOGzdOx48flyTl5ORo7Nix6t27t/bv319m4SAAAIDVAnKKMDc3V23atJEkrVy5Un379lVaWpq2bNmi3r1721wdACCQ+dEMIWwUkB2skJAQnTp1SpL0r3/9y7OLbf369T2dLQAAKoPh4z8IDAEZsLp27aqkpCQ988wz+vzzz9WnTx9J0t69e9W0qW9z46hc3ZL/rGklheo9K80zFlK3rvrNnank/V8qteh7jdmxSb/54zAbqwSs8dqbK3RrnzvVrlNXDRz8kDZv2Wp3SbCAHV/2DP8TkAErIyNDtWrV0ooVK7Rw4UI1adJEkvThhx+qZ8+eNleHC2nSob1uGj5Eh3Z86TXee9Y0xSbcpreGjtDc6zop67mF6jt3hlr362VTpYDvVv9zndKfna2Rw/+gVa+/qg7tb9AjoxP1/aF8u0uDj4J8PBAYAvLfZfPmzfX+++9r+/btGj58uGd8zpw5mjdvno2V4UJC6tbVvX97SatGjtHpwmNe55p3/o22/v115W78VMcOfqvsvy5V/o4v1aRDe3uKBSyw+O/LdPeA/vrdwAG6smWMJo1Lksvl1OtvrbS7NPjI8PFAYAjIgLVlyxav3W3fffddDRgwQBMnTlRJSYmNleFC+s17VntWr9W+DZllzh38dJOu6dtLkdFnv+ohpntXXR57pb5eu6GqywQsUfLzz9q5+yt1jevkNX5z507aun2HTVUBsFJABqwRI0Zo7969kqT9+/dr0KBBCgsL01tvvaXk5GSbq8P52t07UNHtr9fap/5S7vn3/zxeBbv3aPyBXfpLcYGGvr9C7z0+TgezNlVxpYA1CguPqbS0VA3qN/Aav7xBfR354QebqoJVDMPw6UBgCMhtGvbu3asbbrhBkvTWW2+pW7duWrZsmT799FMNGjRIc+fO/dXncLvdcrvdXmP/MU3V4sNvqaimTdT3/6VrcZ+79Z/zft/nxI0eoWadOurVu+5XYd63iunaRf3nPasTh/LL7XgB1cX5/zkxTZO/YAMA/wYhBWjAMk1TZ86ckXR2m4a+fftKkpo1a6ajR49W6DnS09P19NNPe411DXKoW3CotcXWcNE3Xq9wZyM9tukjz1hwrVq64rdd1PmxR/TM5S3U45nJWva7B7Xnw7WSpMM5O9X4+rbq+ufRBCxUS/XqXabg4GAdPa9b9cOPhbq8fn2bqoJVCFiQAjRgdezYUVOnTtXtt9+uzMxMLVy4UNLZDUidTmeFnmPChAlldn2f1qC55bXWdPs2bNRz7bt4jd29KENH9nytjbOeU1BwsGqFhMj838B8zpnSMzKCAnKGGzVASO3aurb1Nfp00+fqcestnvGsTZ/rtvhuNlYGK9CFhBSgAWvu3Ll64IEHtGrVKk2aNEmtWrWSJK1YsUJdunT5lUef5XA45HA4vMaYHrReycmTKti523us+JRO/fCjZ3x/5r/Vc/pf9PPp0zqW962u+O3Nav/7+7R63FN2lAxY4g+/H6zkp1LUtk1rtb+und54+x0dys/XoHsG2l0afORPX/YM+wRkwLruuuu87iI859lnn1VwcLANFcEXb/x+uBKmTtG9S19SaP16Opb3rdZNmarPX3rF7tKAS9b7jh4qLCrSgpf+qoKjR3VVqyv10vNz1OR/75YFUL0ZpmmadhdRXUwKqWd3CUClm3bsgN0lAJUvLKrSnnpbsyt8evwN3x6wpA7YKyA7WKWlpZozZ47efPNN5eXlldn76scff7SpMgBAoGM1CaQA3Qfr6aef1uzZs3XvvfeqqKhISUlJGjhwoIKCgpSammp3eQCAAMZ3EUIK0ID12muvadGiRXriiSdUq1Yt3X///Xr55Zc1ZcoUbdrE5pQAgMrDRqOQAjRg5efnq127dpKk8PBwFRUVSZL69u2rDz74wM7SAAABjg4WpAANWE2bNtWhQ4ckSa1atdLatWc3qMzOzi6z9QIAAIDVAjJg3XXXXVq/fr0kacyYMZo8ebJiY2P10EMPadiwYTZXBwAIZEwRQgrQuwinT5/u+fM999yjpk2bKisrS61atVL//v1trAwAEOjISJACNGCdr3PnzurcubPdZQAAaoAgEhYUQAHrvffeq/C1dLEAAJWFfAUpgALWgAEDKnSdYRgqLS2t3GIAADUW66ggBVDAOnPmjN0lAAAASAqggAUAgD8wAvL+fFysgPoYbNiwQW3atNHx48fLnCsqKtK1116rjRs32lAZAKCmYJsGSAEWsObOnatHHnlEkZGRZc5FRUVpxIgRmjNnjg2VAQBqCnZyhxRgAWv79u3q2bPnBc8nJCToiy++qMKKAAA1DR0sSAG2Buvw4cOqXbv2Bc/XqlVLR44cqcKKAAA1DRkJUoB1sJo0aaKcnJwLnt+xY4caN25chRUBAICaKKACVu/evTVlyhT99NNPZc6dPn1aKSkp6tu3rw2VAQBqiiDD8OlAYDBM0zTtLsIqhw8f1o033qjg4GCNHj1aV199tQzD0O7duzV//nyVlpZqy5Ytcjqdl/T8k0LqWVwx4H+mHTtgdwlA5QuLqrSnzrvuap8e33zHHosqgZ0Cag2W0+lUVlaWRo4cqQkTJuhcdjQMQ3fccYcWLFhwyeEKAICKYKE6pAALWJLUokULrV69WoWFhfrmm29kmqZiY2NVrx7dJwBA5SNfQQrAgHVOvXr1dNNNN9ldBgCghiFgQQqwRe4AAAD+IGA7WAAA2MEIooUFAhYAAJZiihASAQsAAEuxlxUkAhYAAJYiX0EiYAEAYCn2wYLEXYQAAACWo4MFAICFaGBBImABAGAppgghEbAAALAU+QoSAQsAAEvRwYLEIncAAADL0cECAMBCBq0LiIAFAIClmCKERMACAMBafNkzxBosAACsZRi+HRW0cOFCXXfddYqMjFRkZKTi4uL04Ycfes6bpqnU1FRFR0crNDRU8fHx2rlzZ2W8Y5SDgAUAgIUMw/DpqKimTZtq+vTp2rx5szZv3qxbb71Vd955pydEzZw5U7Nnz1ZGRoays7PlcrnUo0cPnThxorLeOv6LYZqmaXcR1cWkkHp2lwBUumnHDthdAlD5wqIq7amP39rep8dHbth6yY+tX7++nn32WQ0bNkzR0dFKTEzU+PHjJUlut1tOp1MzZszQiBEjfKoRv44OFgAAVgoyfDrcbreOHz/udbjd7l98ydLSUi1fvlzFxcWKi4tTbm6u8vPzlZCQ4LnG4XCoe/fuysrKquzfAETAAgDAWj6uwUpPT1dUVJTXkZ6eXu5L5eTkKDw8XA6HQ48++qjeeecdtWnTRvn5+ZIkp9Ppdb3T6fScQ+XiLkIAACxk+HgX4YQJE5SUlOQ15nA4yr326quv1rZt23Ts2DGtXLlSQ4YMUWZm5v/Vct6aLtM02UaiihCwAACwko8BxuFwXDBQnS8kJEStWrWSJHXs2FHZ2dl67rnnPOuu8vPz1bhxY8/1BQUFZbpaqBxMEQIAYCEjyPDp8IVpmnK73YqJiZHL5dK6des850pKSpSZmakuXbr4+hZRAXSwAACohiZOnKhevXqpWbNmOnHihJYvX66PP/5Ya9askWEYSkxMVFpammJjYxUbG6u0tDSFhYVp8ODBdpdeIxCwAACwUhWtcTp8+LAefPBBHTp0SFFRUbruuuu0Zs0a9ejRQ5KUnJys06dP67HHHlNhYaE6deqktWvXKiIiokrqq+nYB+sisA8WagL2wUKNUIn7YJ3s19mnx4f/Y5NFlcBOdLAAALAQd+lBImABAGAtvuwZImABAGAtOlgQ2zQAAABYjg4WAAAWMmhdQDYHrPfee6/C1/bv378SKwEAwCJMEUI2B6wBAwZU6DrDMFRaWlq5xQAAYAFfd2NHYLA1YJ05c8bOlwcAwHp0sCDWYAEAYC06WJCfBazi4mJlZmYqLy9PJSUlXucef/xxm6oCAAC4OH4TsLZu3arevXvr1KlTKi4uVv369XX06FGFhYWpUaNGBCwAQLXATu6Q/GgfrD//+c/q16+ffvzxR4WGhmrTpk06ePCgOnTooFmzZtldHgAAFRNk+HYgIPhNwNq2bZvGjh2r4OBgBQcHy+12q1mzZpo5c6YmTpxod3kAAFSMYfh2ICD4TcCqXbu2p63qdDqVl5cnSYqKivL8GQAAf2cYhk8HAoPfrMFq3769Nm/erKuuukq33HKLpkyZoqNHj+rVV19Vu3bt7C4PAICKYZoP8qMOVlpamho3bixJeuaZZ9SgQQONHDlSBQUFeumll2yuDgAAoOL8poPVsWNHz58bNmyo1atX21gNAACXhmk+SH4UsAAACAhMEUJ+FLBiYmJ+MfXv37+/CqsBAOAS0cGC/ChgJSYmev38888/a+vWrVqzZo3GjRtnT1EAAFwkvuwZkh8FrDFjxpQ7Pn/+fG3evLmKqwEA4BLRwYL86C7CC+nVq5dWrlxpdxkAAAAV5jcdrAtZsWKF6tevb3cZAABUDFOEkB8FrPbt23stcjdNU/n5+Tpy5IgWLFhgY2UAAFQc2zRA8qOAdeedd3p9KIOCgtSwYUPFx8frmmuusbGy/zPth6/tLgGodI/WbWZ3CUCle8E8XnlPTgcL8qOAlZqaancJAAD4jg4W5EeL3IODg1VQUFBm/IcfflBwcLANFQEAcAkMw7cDAcFvApZpmuWOu91uhYSEVHE1AAAAl872KcJ58+ZJOrso8OWXX1Z4eLjnXGlpqTZu3Og3a7AAAPhVdKEgPwhYc+bMkXS2g/XCCy94TQeGhIToiiuu0AsvvGBXeQAAXJwgv5kcgo1sD1i5ubmSpFtuuUVvv/226tWrZ3NFAAD4gA4W5AcB65yPPvrI7hIAAPAdAQvyo0Xu99xzj6ZPn15m/Nlnn9Xvfvc7GyoCAOAScBch5EcBKzMzU3369Ckz3rNnT23cuNGGigAAAC6N30wRnjx5stztGGrXrq3jxytxx10AAKzEInfIjzpYbdu21RtvvFFmfPny5WrTpo0NFQEAcAmYIoT8qIM1efJk3X333dq3b59uvfVWSdL69eu1bNkyrVixwubqAACoIEIS5EcBq3///lq1apXS0tK0YsUKhYaG6vrrr9eGDRsUGRlpd3kAAFQMAQvyo4AlSX369PEsdD927Jhee+01JSYmavv27SotLbW5OgAAKoA1WJAfrcE6Z8OGDfr973+v6OhoZWRkqHfv3tq8ebPdZQEAAFSYX3SwvvvuOy1ZskSvvPKKiouLde+99+rnn3/WypUrWeAOAKhemCKE/KCD1bt3b7Vp00a7du3S888/r++//17PP/+83WUBAHBpuIsQ8oMO1tq1a/X4449r5MiRio2NtbscAAB8Q0iC/KCD9cknn+jEiRPq2LGjOnXqpIyMDB05csTusgAAuCRGUJBPBwKD7f8m4+LitGjRIh06dEgjRozQ8uXL1aRJE505c0br1q3TiRMn7C4RAICKY4oQ8oOAdU5YWJiGDRumf//738rJydHYsWM1ffp0NWrUSP3797e7PAAAgArzm4D1366++mrNnDlT3333nV5//XW7ywEAoOLoYEF+sMj9lwQHB2vAgAEaMGCA3aUAAFAxhCTIzwMWAADVDgvVIQIWAADWooMF+ekaLAAAqq0qWoOVnp6um266SREREWrUqJEGDBigPXv2eF1jmqZSU1MVHR2t0NBQxcfHa+fOnVa/Y5SDgAUAQDWUmZmpUaNGadOmTVq3bp3+85//KCEhQcXFxZ5rZs6cqdmzZysjI0PZ2dlyuVzq0aMHWyBVAcM0TdPuIqqNE0ftrgCodI9GtrS7BKDSvWAer7TnLp3+qE+PD37yhUt63JEjR9SoUSNlZmaqW7duMk1T0dHRSkxM1Pjx4yVJbrdbTqdTM2bM0IgRI3yqE7+MDhYAAFYKCvLtuERFRUWSpPr160uScnNzlZ+fr4SEBM81DodD3bt3V1ZWlm/vEb+KRe4AAFjJx0Xubrdbbrfba8zhcMjhcFzwMaZpKikpSV27dlXbtm0lSfn5+ZIkp9Ppda3T6dTBgwd9qhG/jg4WAABW8nGRe3p6uqKioryO9PT0X3zJ0aNHa8eOHeVuzm2cF/hM0ywzBuvRwQIAwEo+7oM1YcIEJSUleY39UvfqT3/6k9577z1t3LhRTZs29Yy7XC5JZztZjRs39owXFBSU6WrBenSwAADwIw6HQ5GRkV5HeQHLNE2NHj1ab7/9tjZs2KCYmBiv8zExMXK5XFq3bp1nrKSkRJmZmerSpUulv4+ajg4WAABWqqLpt1GjRmnZsmV69913FRER4VlzFRUVpdDQUBmGocTERKWlpSk2NlaxsbFKS0tTWFiYBg8eXCU11mQELAAArFRFAWvhwoWSpPj4eK/xxYsXa+jQoZKk5ORknT59Wo899pgKCwvVqVMnrV27VhEREVVSY03GPlgXg32wUAOwDxZqgkrdB+u5P/v0+OAxcyyqBHaigwUAgJX4smeIRe4AAACWo4MFAICV2GMKImABAGAtAhZEwAIAwFoGq29AwAIAwFpBdLBAwAIAwFp0sCDuIgQAALAcHSwAAKzEIneIgAUAgLXYaBQiYAEAYC06WBABCwAAa7HIHSJgAQBgLTpYEHcRAgAAWI4OFgAAVmKRO0TAAgDAWkwRQgQsAACsxSJ3qIatwTp8+LD+8pe/2F0GACCQBRm+HQgINSpg5efn6+mnn7a7DABAIDOCfDsQEAJqinDHjh2/eH7Pnj1VVAkAAKjJAipg3XDDDTIMQ6Zpljl3btxg8SEAoDLx9wwUYAGrQYMGmjFjhm677bZyz+/cuVP9+vWr4qoAADUK03xQgAWsDh066Pvvv1eLFi3KPX/s2LFyu1sAAFiGhepQgAWsESNGqLi4+ILnmzdvrsWLF1dhRQCAGocpQijAAtZdd931i+fr1aunIUOGVFE1AIAaiSlCqIZt0wAAAFAVAqqDBQCA7ViDBRGwAACwFlOEEAELAABrscgdImABAGAtOlhQgC5yX7Nmjf797397fp4/f75uuOEGDR48WIWFhTZWBgAIeHzZMxSgAWvcuHE6fvy4JCknJ0djx45V7969tX//fiUlJdlcHQAACHQBOUWYm5urNm3aSJJWrlypvn37Ki0tTVu2bFHv3r1trg4AENCYIoQCtIMVEhKiU6dOSZL+9a9/KSEhQZJUv359T2cLAIBKYRi+HQgIAdnB6tq1q5KSknTzzTfr888/1xtvvCFJ2rt3r5o2bWpzdfg12Vu26a+vLtOXu7/SkaM/aP6sdN0e383usoBL1jdlgvqmTvAaK8o/rPGNY72u6frHoQqrd5kOfLZZr48aq0O7vqrqUmGFoIDsXeAiBeSnICMjQ7Vq1dKKFSu0cOFCNWnSRJL04YcfqmfPnjZXh19z6vRpXR3bSlOSWS+HwPE/X+5SsquV53imXWfPuYTkRN2WNErLRz+h6TfFqyi/QGPWvStHeLiNFeOS0cGCArSD1bx5c73//vtlxufMmWNDNbhY3W+OU/eb4+wuA7DUmf/8R8cPF5R77rbEx/ThtFna9s4/JElLh4zQzMPf6DeDf6dPXuIL6qsd1mBBAdrB2rJli3Jycjw/v/vuuxowYIAmTpyokpISGysDUFM1ir1S0/9nj6bu36Hhry/W5TFXSJIuj7lCUY1d2r12g+fa/5SU6OvMT9WySyebqgXgq4AMWCNGjNDevXslSfv379egQYMUFhamt956S8nJyTZXB6Cmyf1ss5Y8NELz7rhLf3/kcUW5Gmlc1jrVrV9fka5GklSmu3X8cIEiXU47yoWvmCKEAnSKcO/evbrhhhskSW+99Za6deumZcuW6dNPP9WgQYM0d+7cX30Ot9stt9vtNeYoccvhcFRCxQAC2c416zx//v7LXdr//32uZ/ZtV+ch9yt3U7YkyTRNr8cYhiGdN4ZqgkXuUIB2sEzT1JkzZySd3abh3N5XzZo109GjRyv0HOnp6YqKivI60v/fc5VWM4Cao+TUKX2fs1ONYq/U8fyznauo87pVEY0aXnDNFvwcHSwoQANWx44dNXXqVL366qvKzMxUnz59JJ3dgNTprFjLfcKECSoqKvI6JowdU5llA6ghaoWEyNX6ahUdOqyjuQdUdChfrXvc4jkfXLu2YrvfrP1Zn9lYJS6ZEeTbgYAQkFOEc+fO1QMPPKBVq1Zp0qRJatWqlSRpxYoV6tKlS4Wew+FwlJ0OPMEC+apQfOqU8r79zvPzd//zvXbv2auoqEhFu1w2VgZcmrufnaod//hQP+Z9p4hGDdX7qXGqExmhTUuXSZLWz12gnhPHquDrfSr4ep96TnxCJadO6/Nlb9lcOS4JXSgoQAPWdddd53UX4TnPPvusgoODbagIF+PLXV/poUf/5Pk5fc7zkqS7+vbS9NSn7CoLuGSXNW2i4a+/ovDLG+jkkaPavylbMzvfph/zvpUkrZ05VyGhobp/wWyF1btMuZ9t1ryEAXKfPGlz5QAulWGev7ISF3aiYuu3gOrs0ciWdpcAVLoXzMr72rTSj5f79Pjg+EEWVQI7BWQHq7S0VHPmzNGbb76pvLy8Mntf/fjjjzZVBgAIeEFMESJAF7k//fTTmj17tu69914VFRUpKSlJAwcOVFBQkFJTU+0uDwAQyFjkDgVowHrttde0aNEiPfHEE6pVq5buv/9+vfzyy5oyZYo2bdpkd3kAgEDGNg1QgAas/Px8tWvXTpIUHh6uoqIiSVLfvn31wQcf2FkaACDQ0cGCAjRgNW3aVIcOHZIktWrVSmvXrpUkZWdnsxM7AACodAEZsO666y6tX79ekjRmzBhNnjxZsbGxeuihhzRs2DCbqwMABDLDMHw6EBgCMmBNnz5dEydOlCTdc889+uSTTzRy5Ei99dZbmj59us3VAQACWhVOEW7cuFH9+vVTdHS0DMPQqlWrvM6bpqnU1FRFR0crNDRU8fHx2rlzp4VvFhcSkAHrfJ07d1ZSUpL69+9vdykAgEBXhQGruLhY119/vTIyMso9P3PmTM2ePVsZGRnKzs6Wy+VSjx49dOLECSveKX5BwOyD9d5771X4WoIWAKDSVOE+WL169VKvXr3KPWeapubOnatJkyZp4MCBkqSlS5fK6XRq2bJlGjFiRJXVWRMFTMAaMGBAha4zDEOlpaWVWwwAoOby8U5At9stt9vtNVbu9+P+itzcXOXn5yshIcHrebp3766srCwCViULmCnCM2fOVOggXAEA/Fl6erqioqK8jvT09It+nvz8fEmS0+n0Gnc6nZ5zqDwB08ECAMAv+Hgn4IQJE5SUlOQ15ssWQ+ffmWiaJncrVoGA6WBJ0oYNG9SmTRsdP172SzyLiop07bXXauPGjTZUBgCoMXxc5O5wOBQZGel1XErAcrlcklSmW1VQUFCmqwXrBVTAmjt3rh555BFFRkaWORcVFaURI0Zozpw5NlQGAKgx/OSrcmJiYuRyubRu3TrPWElJiTIzM9WlSxfLXgflC6iAtX37dvXs2fOC5xMSEvTFF19UYUUAgBqnCrdpOHnypLZt26Zt27ZJOruwfdu2bcrLy5NhGEpMTFRaWpreeecdffnllxo6dKjCwsI0ePDgSnjj+G8BtQbr8OHDql279gXP16pVS0eOHKnCigAANU4VbtOwefNm3XLLLZ6fz63dGjJkiJYsWaLk5GSdPn1ajz32mAoLC9WpUyetXbtWERERVVZjTRVQAatJkybKyclRq1atyj2/Y8cONW7cuIqrAgCgcsTHx8s0zQueNwxDqampSk1NrbqiICnApgh79+6tKVOm6Keffipz7vTp00pJSVHfvn1tqAwAUGNU4RQh/Jdh/lL0rWYOHz6sG2+8UcHBwRo9erSuvvpqGYah3bt3a/78+SotLdWWLVsu/e6JE0etLRjwQ49GtrS7BKDSvWCWvdvcKmdyPvbp8UHt4q0oAzYLqClCp9OprKwsjRw5UhMmTPC0TQ3D0B133KEFCxZwayoAoHLRhYICLGBJUosWLbR69WoVFhbqm2++kWmaio2NVb169ewuDQBQE7CJJxSAAeucevXq6aabbrK7DABATUMHCwqwRe4AAAD+IGA7WAAA2CKI3gUIWAAAWIovUoZEwAIAwFqswYIIWAAAWIsOFkTAAgDAWnSwIO4iBAAAsBwdLAAArMQUIUTAAgDAWmzTABGwAACwFh0siIAFAIC1WOQOscgdAADAcnSwAACwElOEEAELAACLEbBAwAIAwFp0sCACFgAA1iJgQQQsAAAsRsACdxECAABYjg4WAABWYooQImABAGAt8hVEwAIAwGIkLBCwAACwFlOEEAELAABrEbAg7iIEAACwHB0sAAAsRQcLBCwAAKzFFCFEwAIAwGIELBCwAACwFh0siIAFAIC1CFgQdxECAABYjg4WAACWooMFAhYAAJYymCKECFgAAFiLgAURsAAAsBgBCwQsAACsRQcL4i5CAAAAy9HBAgDASnSwIAIWAAAWI2CBgAUAgLXoYEEELAAArEW+gghYAABYjIQF7iIEAACwHB0sAACsxBosiIAFAIC1CFgQAQsAAIsRsEDAAgDAWnSwIBa5AwBgLcPw7bhICxYsUExMjOrUqaMOHTrok08+qYQ3hYtFwAIAoJp64403lJiYqEmTJmnr1q367W9/q169eikvL8/u0mo8wzRN0+4iqo0TR+2uAKh0j0a2tLsEoNK9YB6vvCcvPubb4+teVuFLO3XqpBtvvFELFy70jLVu3VoDBgxQenq6b3XAJ6zBAgDASj6uwXK73XK73V5jDodDDofDa6ykpERffPGFnnzySa/xhIQEZWVl+VQDfEfAuhgRl9tdQY3idruVnp6uCRMmlPkPCypPpf6fPcrgcx6AwqJ8enh6aqqefvppr7GUlBSlpqZ6jR09elSlpaVyOp1e406nU/n5+T7VAN8xRQi/dfz4cUVFRamoqEiRkZF2lwNUCj7nOF9FO1jff/+9mjRpoqysLMXFxXnGp02bpldffVVfffVVldSL8tHBAgDAj5QXpspz+eWXKzg4uEy3qqCgoExXC1WPuwgBAKiGQkJC1KFDB61bt85rfN26derSpYtNVeEcOlgAAFRTSUlJevDBB9WxY0fFxcXppZdeUl5enh599FG7S6vxCFjwWw6HQykpKSz8RUDjcw5f3Hffffrhhx/0l7/8RYcOHVLbtm21evVqtWjRwu7SajwWuQMAAFiMNVgAAAAWI2ABAABYjIAFAABgMQIWqoRhGFq1apXdZQCVis85gHMIWPBZfn6+/vSnP6lly5ZyOBxq1qyZ+vXrp/Xr19tdmiTJNE2lpqYqOjpaoaGhio+P186dO+0uC9WMv3/O3377bd1xxx26/PLLZRiGtm3bZndJQI1GwIJPDhw4oA4dOmjDhg2aOXOmcnJytGbNGt1yyy0aNWqU3eVJkmbOnKnZs2crIyND2dnZcrlc6tGjh06cOGF3aagmqsPnvLi4WDfffLOmT59udykAJMkEfNCrVy+zSZMm5smTJ8ucKyws9PxZkvnOO+94fk5OTjZjY2PN0NBQMyYmxnzqqafMkpISz/lt27aZ8fHxZnh4uBkREWHeeOONZnZ2tmmapnngwAGzb9++5mWXXWaGhYWZbdq0MT/44INy6ztz5ozpcrnM6dOne8Z++uknMyoqynzhhRd8fPeoKfz9c/7fcnNzTUnm1q1bL/n9AvAdG43ikv34449as2aNpk2bprp165Y5f9lll13wsREREVqyZImio6OVk5OjRx55RBEREUpOTpYkPfDAA2rfvr0WLlyo4OBgbdu2TbVr15YkjRo1SiUlJdq4caPq1q2rXbt2KTw8vNzXyc3NVX5+vhISEjxjDodD3bt3V1ZWlkaMGOHDbwA1QXX4nAPwPwQsXLJvvvlGpmnqmmuuuejHPvXUU54/X3HFFRo7dqzeeOMNz188eXl5GjdunOe5Y2NjPdfn5eXp7rvvVrt27SRJLVu2vODrnPsS1PO/+NTpdOrgwYMXXTdqnurwOQfgf1iDhUtm/u+XABiGcdGPXbFihbp27SqXy6Xw8HBNnjxZeXl5nvNJSUl6+OGHdfvtt2v69Onat2+f59zjjz+uqVOn6uabb1ZKSop27Njxq693fo2maV5S3ah5qtPnHID/IGDhksXGxsowDO3evfuiHrdp0yYNGjRIvXr10vvvv6+tW7dq0qRJKikp8VyTmpqqnTt3qk+fPtqwYYPatGmjd955R5L08MMPa//+/XrwwQeVk5Ojjh076vnnny/3tVwul6T/62SdU1BQUKarBZSnOnzOAfghW1eAodrr2bPnRS/+nTVrltmyZUuva4cPH25GRUVd8HUGDRpk9uvXr9xzTz75pNmuXbtyz51b5D5jxgzPmNvtZpE7Loq/f87/G4vcAf9ABws+WbBggUpLS/Wb3/xGK1eu1Ndff63du3dr3rx5iouLK/cxrVq1Ul5enpYvX659+/Zp3rx5nv9rl6TTp09r9OjR+vjjj3Xw4EF9+umnys7OVuvWrSVJiYmJ+uc//6nc3Fxt2bJFGzZs8Jw7n2EYSkxMVFpamt555x19+eWXGjp0qMLCwjR48GDrfyEISP7+OZfOLsbftm2bdu3aJUnas2ePtm3bVqZ7C6CK2J3wUP19//335qhRo8wWLVqYISEhZpMmTcz+/fubH330kecanXf7+rhx48wGDRqY4eHh5n333WfOmTPH83/2brfbHDRokNmsWTMzJCTEjI6ONkePHm2ePn3aNE3THD16tHnllVeaDofDbNiwofnggw+aR48evWB9Z86cMVNSUkyXy2U6HA6zW7duZk5OTmX8KhDA/P1zvnjxYlNSmSMlJaUSfhsAfo1hmv+7ghMAAACWYIoQAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAJqsNTUVN1www2en4cOHaoBAwZUeR0HDhyQYRjatm1blb82AFQGAhbgh4YOHSrDMGQYhmrXrq2WLVvqiSeeUHFxcaW+7nPPPaclS5ZU6FpCEQBcWC27CwBQvp49e2rx4sX6+eef9cknn+jhhx9WcXGxFi5c6HXdzz//rNq1a1vymlFRUZY8DwDUdHSwAD/lcDjkcrnUrFkzDR48WA888IBWrVrlmdZ75ZVX1LJlSzkcDpmmqaKiIv3xj39Uo0aNFBkZqVtvvVXbt2/3es7p06fL6XQqIiJCw4cP108//eR1/vwpwjNnzmjGjBlq1aqVHA6HmjdvrmnTpkmSYmJiJEnt27eXYRiKj4/3PG7x4sVq3bq16tSpo2uuuUYLFizwep3PP/9c7du3V506ddSxY0dt3brVwt8cANiPDhZQTYSGhurnn3+WJH3zzTd68803tXLlSgUHB0uS+vTpo/r162v16tWKiorSiy++qNtuu0179+5V/fr19eabbyolJUXz58/Xb3/7W7366quaN2+eWrZsecHXnDBhghYtWqQ5c+aoa9euOnTokL766itJZ0PSb37zG/3rX//Stddeq5CQEEnSokWLlJKSooyMDLVv315bt27VI488orp162rIkCEqLi5W3759deutt+rvf/+7cnNzNWbMmEr+7QFAFbP5y6YBlGPIkCHmnXfe6fn5s88+Mxs0aGDee++9ZkpKilm7dm2zoKDAc379+vVmZGSk+dNPP3k9z5VXXmm++OKLpmmaZlxcnPnoo496ne/UqZN5/fXXl/u6x48fNx0Oh7lo0aJya8zNzTUlmVu3bvUab9asmbls2TKvsWeeecaMi4szTdM0X3zxRbN+/fpmcXGx5/zChQvLfS4AqK6YIgT81Pvvv6/w8HDVqVNHcXFx6tatm55//nlJUosWLdSwYUPPtV988YVOnjypBg0aKDw83HPk5uZq3759kqTdu3crLi7O6zXO//m/7d69W263W7fddluFaz5y5Ii+/fZbDR8+3KuOqVOnetVx/fXXKywsrEJ1AEB1xBQh4KduueUWLVy4ULVr11Z0dLTXQva6det6XXvmzBk1btxYH3/8cZnnueyyyy7p9UNDQy/6MWfOnJF0dpqwU6dOXufOTWWapnlJ9QBAdULAAvxU3bp11apVqwpde+ONNyo/P1+1atXSFVdcUe41rVu31qZNm/TQQw95xjZt2nTB54yNjVVoaKjWr1+vhx9+uMz5c2uuSktLPWNOp1NNmjTR/v379cADD5T7vG3atNGrr76q06dPe0LcL9UBANURU4RAALj99tsVFxenAQMG6J///KcOHDigrKwsPfXUU9q8ebMkacyYMXrllVf0yiuvaO/evUpJSdHOnTsv+Jx16tTR+PHjlZycrL/97W/at2+fNm3apL/+9a+SpEaNGik0NFRr1qzR4cOHVVRUJOns5qXp6el67rnntHfvXuXk5Gjx4sWaPXu2JGnw4MEKCgrS8OHDtWvXLq1evVqzZs2q5N8QAFQtAhYQAAzD0OrVq9WtWzcNGzZMV111lQYNGqQDBw7I6XRKku677z5NmTJF48ePV4cOHXTw4EGNHDnyF5938uTJGjt2rKZMmaLWrVvrvvvuU0FBgSSpVq1amjdvnl588UVFR0frzjvvlCQ9/PDDevnll7VkyRK1a9dO3bt315IlSzzbOoSHh+sf//iHdu3apfbt22vSpEmaMWNGJf52AKDqGSYLIgAAACxFBwsAAMBiBCwAAACLEbAAAAAs9v8DuzOvE1FQHm0AAAAASUVORK5CYII=" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k4</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k4" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ | |
| │ dense_10 (Dense) │ (None, 256) │ 15,738,112 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_8 (Dropout) │ (None, 256) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_11 (Dense) │ (None, 128) │ 32,896 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_9 (Dropout) │ (None, 128) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_12 (Dense) │ (None, 64) │ 8,256 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dropout_10 (Dropout) │ (None, 64) │ 0 │ | |
| ├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤ | |
| │ dense_13 (Dense) │ (None, 1) │ 65 │ | |
| └──────────────────────────────────────┴─────────────────────────────┴─────────────────┘ | |
| Total params: 47,337,989 (180.58 MB) | |
| Trainable params: 15,779,329 (60.19 MB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 31,558,660 (120.39 MB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <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 | |
| 1 253 51.53 | |
| 0 238 48.47</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 491</li> | |
| <li>Imbalance Ratio: 1.06</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 0.9796 1.0000 0.9897 48 | |
| Class 1 1.0000 0.9804 0.9901 51 | |
| accuracy 0.9899 99 | |
| macro avg 0.9898 0.9902 0.9899 99 | |
| weighted avg 0.9901 0.9899 0.9899 99 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 50</li> | |
| <li>True Negatives (TN): 48</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> | |
| <img src="data:image/png;base64,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" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
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