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Confusion Matrix

PERFORMANCE ANALYSIS OF PREDICTIVE DATA MINING MODEL USING CONFUSION MATRIX

PERFORMANCE ANALYSIS OF PREDICTIVE DATA MINING MODEL USING CONFUSION MATRIX

... We live in world where vast amount of data are collected daily. Analyzing such data is an important need. Data mining meets this need by providing techniques to discovered knowledge from data. Now a day, many educational ...

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CROPLAND SUITABILITY ASSESSMENT AND CONFUSION MATRIX EVALUATION WITH GIS

CROPLAND SUITABILITY ASSESSMENT AND CONFUSION MATRIX EVALUATION WITH GIS

... The general scope of this paper is to express opportunities of combining Multi-Criteria Decision Analysis (MCDA) with geographical information systems (GIS) for suitable cropland suitability survey. Following objectives ...

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A New Method of Text Categorization and Summarization with Fuzzy Confusion Matrix

A New Method of Text Categorization and Summarization with Fuzzy Confusion Matrix

... Fuzzy Confusion Matrix – 2016 International Conference on Control, Instrumentation, Energy & Communication (CIEC), held at Kolkata, 978-1-5090-0035- ...

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Classification of brain MRI images by comparing SVM classifier and PNN classifier using Confusion Matrix

Classification of brain MRI images by comparing SVM classifier and PNN classifier using Confusion Matrix

... extraction, confusion matrix is plotted with the help of training data and testing ...data. Confusion matrix gives accuracy for each class and also gives overall accuracy for support vector ...

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Transductive Bounds for the Multi-Class Majority Vote Classifier

Transductive Bounds for the Multi-Class Majority Vote Classifier

... Morvant, E.; Koc¸o, S.; and Ralaivola, L. 2012. PAC- Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification. In International Confer- ence on Machine Learning (ICML), 815–822. ...

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Automatic Object Recognition from Satellite Images using Artificial Neural Network

Automatic Object Recognition from Satellite Images using Artificial Neural Network

... Object recognition from satellite images is a very important application for various purposes. Objects can be recognized based on certain features and then applying some algorithm to extract those objects. Basically ...

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Predicting Survival on Titanic by Applying Exploratory Data Analytics and Machine Learning Techniques

Predicting Survival on Titanic by Applying Exploratory Data Analytics and Machine Learning Techniques

... Keywords Data mining, ggplot, Logistic Regression, Random Forest, Feature Engineering, Support Vector Machine, Confusion Matrix... Data Analytics Confirmative DA.[r] ...

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Optimizing Predictive Mining Techniques in HIV Related Opportunistic Infections: Case for Botswana

Optimizing Predictive Mining Techniques in HIV Related Opportunistic Infections: Case for Botswana

... Botswana was one of the first countries to establish a national Antiretroviral therapy (ART) programme in Africa. “Masa,” a native word depicting “a new dawn,” is the programme name. The AIDS epidemic has led to the ...

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Damage size classification of natural fibre reinforced composites using neural network

Damage size classification of natural fibre reinforced composites using neural network

... It has been observed from the earlier works that neural networks has attracted attention due to their capabilities including pattern recognition, classification and function approximation is well documented in the ...

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Automatic Classification Of Stock Twitter Data By Using Different Svm Kernel Functions

Automatic Classification Of Stock Twitter Data By Using Different Svm Kernel Functions

... the Confusion Matrix, some of the metrics like Sensitivity, Specificity, Kappa, Prevalence, Detection Rate, Detection Prevalence, Balance, Accuracy (ACC), Precision (PREC), Recall (REC), F – Measure (FM), ...

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I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE 
DISCOVERY

I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE DISCOVERY

... In this paper, the new novelty method in the digital image analysis technique for geology applications is proposed. It analyzed the series of raw rock images from the mineralogy database of various classes. It initially ...

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Valuing map validation: the need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services

Valuing map validation: the need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services

... programme was immensely useful there are some concerns. For example, the size of the sample used was small, especially for some classes and two classes (snow and ice, and water) were not included fully in the validation ...

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Video genre classification using compressed domain visual features

Video genre classification using compressed domain visual features

... Table 7.19: Five genre confusion matrix for average classification and standard deviation for conventional RBF network initialised with leaves of pruned tree optimised with gradient desc[r] ...

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Pronunciation Adaptation For Disordered Speech Recognition Using State Specific Vectors of Phone Cluster Adaptive Training

Pronunciation Adaptation For Disordered Speech Recognition Using State Specific Vectors of Phone Cluster Adaptive Training

... phone confusion matrix for each dysarthric speaker using SSV from Phone-CAT model is dis- ...phone confusion matrix, alternate pronunciations are formed in per- sonalized speaker ...phone ...

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Feature Dependent Confusion Matrices for Low Resource NER Labeling with Noisy Labels

Feature Dependent Confusion Matrices for Low Resource NER Labeling with Noisy Labels

... In the majority of cases, a cluster size of 10 or 25 was selected on the development set during the hyperparameter search. Increasing the number of clusters introduces smaller clusters for which it is difficult to ...

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Bayesian Nonparametric Crowdsourcing

Bayesian Nonparametric Crowdsourcing

... mean confusion matrix of each cluster is the same as in data-set1 which is shown in Figure ...the confusion matrices inside each cluster is ...

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A Comparative Study of Classifiers for Tumor Detection

A Comparative Study of Classifiers for Tumor Detection

... Figure 5: Output of Severe Tumor Affected Brain The ROC Curve and the confusion matrix with the calculation of accuracy of the images using different classifiers are shown in Figure 6 th[r] ...

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The impact of laser ablation on optical soft tissue differentiation for tissue specific laser surgery an experimental ex vivo study

The impact of laser ablation on optical soft tissue differentiation for tissue specific laser surgery an experimental ex vivo study

... the confusion matrix into account which shows that the classification error of ablated skin mainly occurred when comparing with nerve after laser ablation, it can be concluded that the optical properties of ...

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Heart Disease Prediction and Performance Assessment through Attribute Element Diminution using Machine Learning

Heart Disease Prediction and Performance Assessment through Attribute Element Diminution using Machine Learning

... obtained confusion matrix for each of the classifiers like logistic regression, KNN classifier, Support Vector Machine, Kernel Support Vector Machine, Naive Bayes, Random Forest and Decision Tree ...

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CLASSIFICATION OF IRS LISS-III IMAGE USING ARTIFICIAL NEURAL NETWORK

CLASSIFICATION OF IRS LISS-III IMAGE USING ARTIFICIAL NEURAL NETWORK

... In this paper back propagation neural network has been used for classifying LISS-III satellite image and accuracy is calculated using confusion matrix and kappa co-efficient. The results show that the ...

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