Data Classification with k-fold Cross Validation and Holdout Accuracy Estimation Methods with 5 Different Machine Learning Techniques

@article{Pal2020DataCW,
  title={Data Classification with k-fold Cross Validation and Holdout Accuracy Estimation Methods with 5 Different Machine Learning Techniques},
  author={Kaushika Pal and Biraj V. Patel},
  journal={2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)},
  year={2020},
  pages={83-87}
}
  • Kaushika Pal, B. Patel
  • Published 1 March 2020
  • Computer Science
  • 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)
Classification of documents is measured in terms of accuracy by comparing the actual labels with predicted labels for the classes. There are many machine learning techniques, which can be used to build a classifier, it is almost difficult to manually predict which technique should be used for classification, especially when we are working on Indic languages and there is no reliable method, which can give good results. Such area still need to be explored by processing documents with natural… 

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References

SHOWING 1-10 OF 14 REFERENCES
Multiclass patent document classification
TLDR
The obstacles associated with the imbalanced data were mitigated by adding pseudo-synthetic data wherever appropriate, which resulted in a superior SVM classifier based model.
Supervised learning Methods for Bangla Web Document Categorization
TLDR
Empirical results support that all four methods for categorization of Bangla documents produce satisfactory performance with SVM attaining good result in terms of high dimensional and relatively noisy document feature vectors.
An Efficient Hindi Text Classification Model Using SVM
TLDR
A Hindi Text Classification model is proposed, which accepts a set of known Hindi documents, preprocesses them at document, sentence and word levels, extracts features, and trains SVM classifier, which further classifies aSet of Hindi unknown documents.
Punjabi Poetry Classification: The Test of 10 Machine Learning Algorithms
TLDR
Results for Punjabi poetry classification revealed that 4 machine learning algorithms namely, Hyperpipes (HP), K- nearest neighbour (KNN), Naive Bayes (NB) and Support Vector Machine (SVM) with an accuracy of 50.63 %, 52.75 % and 58.79 % respectively, outperformed all other machinelearning algorithms under the test.
Classification of children stories in hindi using keywords and POS density
TLDR
This paper is proposing a framework for story classification using keyword and Part-of-speech (POS) based features for Hindi stories into three genres: fable, folk-tale and legend.
A SURVEY ON TEXT CATEGORIZATION
Now a day’s managing a vast amount of documents in digital forms is very important in text mining applications. Text categorization is a task of automatically sorting a set of documents into
Children story classification based on structure of the story
  • M. HarikrishnaD., K. S. Rao
  • Computer Science
    2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
  • 2015
TLDR
The main part of the stories has the highest classification accuracy compared to introduction and climax parts of the story, and a framework for story classification using keyword and Part-of-speech (POS) based features is proposed.
Automated Analysis of Bangla Poetry for Classification and Poet Identification
TLDR
This work makes use of semantic (word) features to perform subject-based classification of Bangla poems, and various stylistic as well as semantic features for poet identification, and uses a Multiclass SVM classifier to classify Tagore’s collection of poetry into four categories.
SURVEY OF DATA MINING ALGORITHM’S FOR INTELLIGENT COMPUTING SYSTEM
TLDR
The survey on the data mining algorithms and the techniques that could be employed with the intelligent computing system are presented, presenting a basic conception of the datamining along with the prominent algorithms of theData mining and the classification of its techniques.
Model for Classification of Poems in Hindi Language Based on Ras
The developed model will classify poem into Shringar, Hasya, Adbhuta, Shanta, Raudra, Veera, Karuna, Bhayanaka, Vibhasta rasas, which will use mix of part-of-speech-based feature and emotional
...
...