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Update the SVM model #7

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Merged
Gladiator07 merged 1 commit into from
Aug 5, 2021
Merged

Update the SVM model #7

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21 changes: 12 additions & 9 deletions notebooks/Crop_Recommendation_Model.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -773,13 +773,16 @@
],
"source": [
"from sklearn.svm import SVC\n",
"\n",
"SVM = SVC(gamma='auto')\n",
"\n",
"SVM.fit(Xtrain,Ytrain)\n",
"\n",
"predicted_values = SVM.predict(Xtest)\n",
"\n",
"# data normalization with sklearn\n",
"from sklearn.preprocessing import MinMaxScaler\n",
"# fit scaler on training data\n",
"norm = MinMaxScaler().fit(Xtrain)\n",
"X_train_norm = norm.transform(Xtrain)\n",
"# transform testing dataabs\n",
"X_test_norm = norm.transform(Xtest)\n",
"SVM = SVC(kernel='poly', degree=3, C=1)\n",
"SVM.fit(X_train_norm,Ytrain)\n",
"predicted_values = SVM.predict(X_test_norm)\n",
"x = metrics.accuracy_score(Ytest, predicted_values)\n",
"acc.append(x)\n",
"model.append('SVM')\n",
Expand Down Expand Up @@ -1271,9 +1274,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6-final"
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
}