AI4D Africa’s Anglophone Research Lab Tanzania Tourism Classification Challenge
Helping Tanzania, United Republic of
$1 000 USD
Completed (over 4 years ago)
Classification
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180 active
Start
01 Jun 22
Close
01 Jul 22
Reveal
01 Jul 22
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How to implement logloss for multiclass?
Help · 1 Jun 2022, 16:24 · 6
Kindly, Can anyone help me in understanding how to implement logloss for multiclass problems
Let's assume ur using a logistic regression model.
Lr=LogisticsRegression()
Lr.fit(X_train,y_train)
Pred=lr.predict_proba(X_test)
Log_loss(y_pred,y_true)
So u needed to get the probability function of ur prediction to be able to check for the log_losss
Thanks but this is the error i am getting.
ValueError: y_true and y_pred contain different number of classes 6, 2. Please provide the true labels explicitly through the labels argument. Classes found in y_true: [0 1 2 3 4 5]
That's bcos u didn't use the proba key word.
Model.predict_proba()
Oh thank you solved it.
That's good
And can you please share how the submission file should be created from fold predictions?