Classification problem

[Visaal_K.S]

what is wrong with the code above

[satyajit_das]

Hi, Visaal.

Kindly check the line
y_scores=cross_val_predict(sgd_clf,X_train,y_train_5,cv=3)
does y_train_5 exits?

All the best!

[Visaal_K.S]

yes sir i have defined it

[satyajit_das]

Hi, Visaal.

In the code you shared, I cannot find any error, kindly see the previous codes if you have run the cell or defined etc.

Kindly share the complete code for more insights.

All the best!

[Visaal_K.S]

this is the code sir

[Visaal_K.S]

sir i got this but i have another doubt
from sklearn.metrics import precision_recall_curve
precisions, recalls, thresholds = precision_recall_curve(y_train_5, y_scores)
In the above code len of thresholds is 1 less than recalls and precisions why…??

[Satyajit_Das1]

Hi, Visaal.

Kindly refer to this discussions

Classification - SGD Classifier / Precision & Recall

Hello! I am working along the session on ‘Classification in Machine Learning’ being explained with the MNIST data set having 70,000 images. In the explanation, when the decision scores are calculated using cross_val_predict, the length of the output is equivalent to the number of instances (i.e. 60,000 in the test set). However, when we calculate the precision and recall for each level of threshold, their length reduces below 60,000. The code is replicated hereunder. I am really curious to un…

All the best!