Questions tagged [multiclass-classification]
776 questions
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allocating category to a comment pandas
My task is to allocate broad and fine category to the text I have in a pandas dataframe.
My df is something like this:
Text
I like this pen
this is the worst light bulb ever
these pants fit me just fine
Desired output:
…
user18334254
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learning curve of multiclass classification task
I'm trying to do a multiclass classification using multiple machine learning using this function that I have created:
def model_roc(X, y):
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, stratify=y, random_state=11)
…
Ibtissam
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Why is testing accuracy so low, could there be a bug in my code?
I've been training an image classification model using object detection and then applying image classification to the images. I have 87 custom classes in my data(not ImageNet classes), and just over 7000 images altogether(around 60 images per…
Sire
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StratifiedKfolds with imbalanced data for multiclass classification
I'm trying to build a model of multiclass classification using imbalanced data with few samples(436) and 3 classes. After standardizing data I split it using stratifiedkfolds to be sure that my minority class is represented well on the train and…
Ibtissam
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ROC_AUC from prediction probabilities from .pred_proba are better than from predictions from .pred
I have a multiclass classification problem. Now, I want to get the predictions from my fit classifier (OneVsRestClassifier(XGBoost)) to obtain the Area under the ROC curves in Scikit-Learn.
I noticed that my AUCs from roc_curve and auc are better…
Leon J
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1 answer
ImageNet classification challenge: Achieving top-5 error of 0.99472 on test set using VGG11
I recently took an imagenet pre-trained VGG11 network and made predictions on the imagenet test dataset. Upon submitting this file to the evaluation server, I received an email with following text:
Error: 0.99607 (top-5) 0.99898 (top-1)
Per-class…
Atif Hassan
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Combining scikitlearn's GridsearchCV and lightgbm's mutliclass classifier
I am trying to find reliable hyper parameters for training a multiclass classifier, using both lgbm's "gbdt" and scikitlearn's GridsearchCV.
On the feature side of things there is a ~4k x 40 matrix, containing continuous values.
On the labeling side…
Rfunghifinder
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Stacking multiclass classification accuracy is lower than same model for binary classification problem?
I have developed a stacked classification model which consists of Random forest, CNN, and logistic regression as a meta-model. Its accuracy is 99% for binary classification problem and its accuracy on multiclass classification is very low.
Epoch…
Asad Raza
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how to predict a single image using already trained model in keras
I reeferred https://www.kaggle.com/code/lsind18/gemstones-multiclass-classification-cnn
to train a model.
According to the above referred source,the test images are included as sub folders in the root directory.(That is the Test folder has sub…
jeni
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Dimension issues for LSTM sequence model on Keras
I'd like to train a simple LSTM model for sequence data with 128 time steps with 6 features for 118 multi-classes.
The dimensions of the dataset are shown below:
X_train, X_test shape: (batch, timesteps, num_features) = (batch, 128, 6)
y_train,…
weiming
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Getting a ValueError: Shapes (None, 1) and (None, 5) are incompatible
X_train = df_train["Base_Reviews"].values
X_test = df_test["Base_Reviews"].values
y_train = df_train['category'].values
y_test = df_test['category'].values
num_words = 20000 #Max. workds to use per toxic comment
max_features = 15000 #Max. number…
Tahir Ullah
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UserWarning: One or more of the test scores are non-finite – GridSearchCV for MultiOutputClassifier(MLPClassifier)
I am trying out scikit-learn for the first time, for a Multi-Output Multi-Class text classification problem. I am attempting to use GridSearchCV to optimize the parameters of MLPClassifier for this purpose.
Below is the code I have so far:
import…
P A N
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How to use GridSearchCV with MultiOutputClassifier(MLPClassifier) Pipeline
I am trying out scikit-learn for the first time, for a Multi-Output Multi-Class text classification problem. I am attempting to use GridSearchCV to optimize the parameters of MLPClassifier for this purpose.
I will admit that I am shooting in the…
P A N
- 5,642
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- 103
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1 answer
ValueError: Classification metrics can't handle a mix of multiclass and continuous-multioutput targets
I am trying to calculate the f1 score for a multi-class classification problem using the Cifar10 dataset. I am importing f1 metirics from the sklearn library. However I keep getting the following error message:
ValueError: Classification metrics…
unim192745
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When to use OneVsRestClassifier?
If the decision function of svm.SVC is by default "ovr", why would we use OneVsRestClassifier(svm.SVC(kernel="linear") instead of just svm.SVC(kernel="linear")?
Caterina
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