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June 24, 2022 10:24
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Model Accuracy Skorları
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| #Algoritma Bazlı Cross Validation ile Accuracy Skoru Hesaplama. | |
| score= cross_val_score(clf, X_train, y_train.values.ravel(), cv=5) | |
| score2= cross_val_score(lr, X_train, y_train.values.ravel(), cv=5) | |
| score3= cross_val_score(dtc, X_train, y_train.values.ravel(), cv=5) | |
| score4= cross_val_score(rfc, X_train, y_train.values.ravel(), cv=5) | |
| score5= cross_val_score(gradient, X_train, y_train.values.ravel(), cv=5) | |
| score6= cross_val_score(xgb, X_train, y_train.values.ravel(), cv=5) | |
| #Görselleştirme | |
| methods= ["Naive Bayes","Logistik Regresyon", "Karar Ağacı","Rassal Orman", "Gradient Arttırma","XGBoost"] | |
| accuracy = [score.mean(),score2.mean(),score3.mean(),score4.mean(),score5.mean(),score6.mean()] | |
| sns.set() | |
| from matplotlib import pyplot as plt | |
| plt.figure(figsize = (16,9)) | |
| plt.title('Algoritmalara Göre Doğruluk Oranları', fontsize=20) | |
| plt.ylabel="Uygulanan Algoritmalar" | |
| plt.xlabel="Başarı Oranı" | |
| plt.xticks(fontsize=14) | |
| plt.yticks(fontsize=14) | |
| sns.barplot(x=accuracy, y=methods) | |
| for line in range(len(methods)): | |
| plt.text(0.65,line-0.15,"{:.2f}%".format(accuracy[line]*100),horizontalalignment ='left', color='black', size='large') | |
| plt.savefig('fig/Accuracy', dpi=600) #Yüksek kalitede olması amacıyla dpi=600 yaptık. |
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