Questions tagged [multiclass-classification]

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Spark ML 2.0 - Evaluation Metrics available using spark.ml libraries similar to the spark.mllib

We are running a RandomForest model that creates 3 classifiers and we want to calculalte the AUC for use for evaluation of our model aside from using accuracy Would there is an approach if we are using spark.ml? Currently we call …
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Any package in R which can Do Multi Class ,Oversampling,Under sampling,Both And SMOTE?

I am looking for Packages which can do multiclass oversampling, Undersampling or both techniques. I tried using ROSE package but it works only for binary class. my target variable has 4 class and there % are. "0"-70% "1"-15% "2"-10% "3"-5% "4"-5%
danishxr
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Changing the Contents of a Tensor in TensorFlow

Before I continue, please excuse my ignorance. I have some experience programming before this, but my previous intuition has failed me presently. Essentially, I need to expand a 1-D vector (size M x 1) of numbers ranging from 0...K, to a 2-D matrix…
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scikit-learn fit function error

I'm trying to create a simple classifier for the CIFAR-10 data, but when I'm trying to execute this python code: import cPickle from sklearn.multiclass import OneVsRestClassifier from sklearn.svm import LinearSVC def unpickle(file): with…
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CoreML converted keras model requests multi array input instead of image in Xcode

this is actually my first post on Stackoverflow and i am pretty new to Machine Learning. I am currently trying to train a convolutional neural network for simple image classification tasks, using VGG16. It is based on this tutorial:…
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Handling imbalanced data with partial_fit and OneVsRestClassifier

Simply put, I have an imbalanced data set and I have to train using partial_fit because of the size. Some of the methods I use can't naturally handle multiclass problems, so I am wrapping them with a OneVsRestClassifier. However, this causes…
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Multiclass text classification with python and nltk

I am given a task of classifying a given news text data into one of the following 5 categories - Business, Sports, Entertainment, Tech and Politics About the data I am using: Consists of text data labeled as one of the 5 types of news statement…
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associate values to classes in Keras

How can I associate values to classes in Keras? Input: [[1, 2, 3], [4, 5, 6], [7, 8, 9]] Expected: [1, 2, 3], [4, 5, 6] associated with class 1 [7, 8, 9] associated with class 2 The problem is that [1, 2, 3], [4, 5, 6] come from one file and [7,…
Eduardo Andrade
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Cannot feed value of shape (4,) for Tensor 'Placeholder_10:0', which has shape '(?, 4)'

Hej, in the final step of my multi-class neural network for the IRIS data set, I am executing the following code: steps = 2500 with tf.Session() as sess: sess.run(init) for i in range(steps): …
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multiclass prediction with text and numeric data

I am trying to create a prediction model (or classification) for a dataset which includes numeric and text features Using Tf-IdfVectorizer, I have managed to convert text columns into lists so each cell in the text column is a list of float numbers…
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LogisticRegression prediction probability

I am currently using LogisticRegression from scikit-learn in the problem of multi-class categorization. I've decided to use LogisticRegression since I've read a couple of articles describing it as a well-calibrated algorithm in terms of prediction…
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spark performing worse than scikit-learn for MultiClass

Currently I have text data and I am trying to predict a class. In my case I have 60 classes to choose from. When I deploy the model in random forest using scikit-learn, I get an f1 score of 78%. However, I try to setup the model in pyspark and only…
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How I supposed to make program to stop and wait for something? JAVA

got a problem here, trying to create a login to database system at the moment. I have to classes : UserLogManagerMainWindow and DatabaseConnectionFrame. My program is about log management. I want to make a database connection…
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Accuracy Score for a vector of predictions using Logistic Regression in Python

I'm doing the multiclass classification using Logistic Regression approach. Basically I know that if I use accuracy_score () function (for example, from sklearn library) it will calculate me the accuracy of distinct value to distinct value like…
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Extract topics from SMS messages

I have a dataset of SMS messages which is ill formatted and sparse. I tried to use topic modeling to get all the possible topics in each message with the probability of each associated topic. I need the probability to be able to arrange or rank each…