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Clustering Data Sets (Mammals, Birth/Death Rates, New Haven Schools, Nutrients) UCI and UCIKDD data sets classification and regression in Weka ARFF format. More ARFF datasets such as Protein & Biomedical data, drug design, Reuters21578 as the ModApte split, and various agricultural data sets can be found here .
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Text Classification Dataset 是一个文本分类数据集,其包含 8 个可用于文本分类的子数据集,样本大小从 120K 到 3.6M 不等,问题范围从 2 级到 14 级。 该数据集的来源主要有 DB […]
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Fast-text Word N-gram¶. Use the following command to train the FastText classification model on the Yelp review dataset. The model we have implemented is a slight variant of
The 20 newsgroups collection has become a popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering. In the following we will use the built-in dataset loader for 20 newsgroups from scikit-learn. TEXT CLASSIFICATION FROM LABELED AND UNLABELED DOCUMENTS USING EM 5 class of each component, the parameter estimation can be done with unlabeled data alone. It is important to notice that this result depends on the critical assumption that the data indeed have been generated using the same parametric model as used in 1 c = ; ).)=; ): y =
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This example shows how to do text classification starting from raw text (as a set of text files on disk). We demonstrate the workflow on the IMDB sentiment classification dataset (unprocessed version). We use the TextVectorization layer for word splitting & indexing.
The LJ Speech Dataset. This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours.
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This paper presents our text mining classification framework, that we implemented and evaluated using aviation datasets. Our contribution through the proposed framework and the algorithms is to...
Datasets for single-label text categorization. The datasets below are taken from Ana Cardoso-Cachopo's Home Page.
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STL-10 dataset. The STL-10 dataset is an image recognition dataset for developing unsupervised feature learning, deep learning, self-taught learning algorithms. It is inspired by the CIFAR-10 dataset but with some modifications. In particular, each class has fewer labeled training examples than in CIFAR-10, but a very large set of unlabeled ... This is a dataset of chart images created from real data sources using matplotlib. There are 4 basic types of charts: Bar, Line, Scatter, Box. There are several tasks associated with this dataset including: 1) Chart Classification. 2) Text Detection and Recognition. 3) Text Role Classification. 4) Axis Analysis. 5) Legend Analysis
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Find data about classification contributed by thousands of users and organizations across the world. There are 751 classification datasets available on
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Dec 18, 2017 · Step 7: The classification model accuracy. We will compute the accuracy of the classification model on the train and test dataset, by comparing the actual values of the trading signal with the predicted values of the trading signal. The function accuracy_score() will be used to calculate the accuracy. The goal of a binary classification problem is to create a machine learning model that makes a If you want to explore binary classification techniques, you need a dataset. You can make your own...
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Reuters-21578 Text Categorization Collection Reuters-21578 Datasets for single-label text categorization The datasets below are taken from Ana Cardoso-Cachopo's Home Page.. 20 Newsgroups
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