GeoAI Challenge Estimating Soil Parameters ( FINAL ENSEMBLE -- 0.258790 on LB).ipynb

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        "<a href=\"https://colab.research.google.com/github/Adeyinka-hub/ASSETS/blob/main/Zindi%20User%20(BEST%20ENSEMBLE%20SCORE%3A%200.91020%20on%20LB).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "**Ensemble 1: 0.258790 on PUBLIC LB / 0.260037742 on PRIVATE LB**"
      ],
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        "id": "s6g0PoESZ39E"
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        "import pandas as pd\n",
        "import numpy as np\n",
        "model_paths = [\n",
        "    (.30, '/content/resnet10t_1003-0457.csv'),                # 0.2641 on LB\n",
        "    (.70, '/content/baseline.csv'),                           # 0.2596 on LB\n",
        "]\n",
        "\n",
        "targets = ['Target']\n",
        "\n",
        "submissions = []\n",
        "for weight, path in model_paths:\n",
        "    df = pd.read_csv(path)\n",
        "    df[targets] = df[targets] * weight\n",
        "    submissions.append(df)\n",
        "\n",
        "df_combined = pd.concat(submissions).groupby(['sample_index']).sum().reset_index()\n",
        "\n",
        "df_combined.to_csv('ensemble2_0.70_0.30.csv', index=False)                           # 0.258790 on LB\n",
        "df_combined.head(10)"
      ],
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              "  sample_index    Target\n",
              "0          0_K  0.955901\n",
              "1         0_Mg  0.986738\n",
              "2          0_P  0.987619\n",
              "3         0_pH  1.015049\n",
              "4       1000_K  0.734007\n",
              "5      1000_Mg  1.033688\n",
              "6       1000_P  0.677057\n",
              "7      1000_pH  0.979196\n",
              "8       1001_K  0.736870\n",
              "9      1001_Mg  1.042268"
            ],
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