<p>Data values are represented as grey level heat maps. MLR = multinomial logistic regression, MLP = multi-layer perceptron, XGB = extreme gradient boost, SVM = support vector machine, KNN = k-nearest neighbor, Voting = voting (argmax) classifier across MLR, …, KNN.</p
In this paper, the efficacy of machine learning (ML) techniques for predicting the academic success ...
Multinomial logistic regression for clusters 1, 2 and 3, using cluster 1 as the reference.</p
<p>The rows are drug classes, and the columns are KEGG pathways and GO terms. Darker colors represen...
The heatmaps show the accuracy of logistic regression models trained on one quantization gray-level ...
<p>Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...
<p>The data set is indicated on the left above the relevant heat-map. The LMT_J48_RF100_SMO (later r...
<p>(<b>A</b>) The four heatmaps show the predictions resulting from diverse binary classifiers for t...
<p>Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and clu...
<p>Heat maps showing feature weights obtained from classifiers trained using the surrounding sequenc...
Heatmaps generated from the "meta"-cognition matrix W at Year 1, 2, and 3 of patients’ NP test resul...
<p>Multinominal logistic regression models predicting present-day voting intention.</p
<p>Rows correspond to stimulus and columns to the decision or response. Darker hues correlate with...
This thesis concerns the Multi-layer Perceptron (MLP) model, one of a variety of neural network mode...
Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p
Machine learning (ML) is an artificial intelligence (AI) technique that facilitates the improvement ...
In this paper, the efficacy of machine learning (ML) techniques for predicting the academic success ...
Multinomial logistic regression for clusters 1, 2 and 3, using cluster 1 as the reference.</p
<p>The rows are drug classes, and the columns are KEGG pathways and GO terms. Darker colors represen...
The heatmaps show the accuracy of logistic regression models trained on one quantization gray-level ...
<p>Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...
<p>The data set is indicated on the left above the relevant heat-map. The LMT_J48_RF100_SMO (later r...
<p>(<b>A</b>) The four heatmaps show the predictions resulting from diverse binary classifiers for t...
<p>Multivariable Multinomial Logistic Regression comparing clusters three (most sympathetic) and clu...
<p>Heat maps showing feature weights obtained from classifiers trained using the surrounding sequenc...
Heatmaps generated from the "meta"-cognition matrix W at Year 1, 2, and 3 of patients’ NP test resul...
<p>Multinominal logistic regression models predicting present-day voting intention.</p
<p>Rows correspond to stimulus and columns to the decision or response. Darker hues correlate with...
This thesis concerns the Multi-layer Perceptron (MLP) model, one of a variety of neural network mode...
Bivariable and multivariable logistic regression analysis showing predictors of knowledge levels.</p
Machine learning (ML) is an artificial intelligence (AI) technique that facilitates the improvement ...
In this paper, the efficacy of machine learning (ML) techniques for predicting the academic success ...
Multinomial logistic regression for clusters 1, 2 and 3, using cluster 1 as the reference.</p
<p>The rows are drug classes, and the columns are KEGG pathways and GO terms. Darker colors represen...