Machine Learning Algorithms with Unified Interface and Confusion Matrices

---

Documentation for package ‘mlearning’ version 1.2.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

mlearning-package	Machine Learning Algorithms with Unified Interface and Confusion Matrices
confusion	Construct and analyze confusion matrices
confusion.default	Construct and analyze confusion matrices
confusion.mlearning	Construct and analyze confusion matrices
confusionBarplot	Plot a confusion matrix
confusionDendrogram	Plot a confusion matrix
confusionImage	Plot a confusion matrix
confusionStars	Plot a confusion matrix
confusion_barplot	Plot a confusion matrix
confusion_dendrogram	Plot a confusion matrix
confusion_image	Plot a confusion matrix
confusion_stars	Plot a confusion matrix
cvpredict	Machine learning model for (un)supervised classification or regression
cvpredict.mlearning	Machine learning model for (un)supervised classification or regression
mlearning	Machine learning model for (un)supervised classification or regression
mlKnn	Supervised classification using k-nearest neighbor
mlKnn.default	Supervised classification using k-nearest neighbor
mlKnn.formula	Supervised classification using k-nearest neighbor
mlLda	Supervised classification using linear discriminant analysis
mlLda.default	Supervised classification using linear discriminant analysis
mlLda.formula	Supervised classification using linear discriminant analysis
mlLvq	Supervised classification using learning vector quantization
mlLvq.default	Supervised classification using learning vector quantization
mlLvq.formula	Supervised classification using learning vector quantization
mlNaiveBayes	Supervised classification using naive Bayes
mlNaiveBayes.default	Supervised classification using naive Bayes
mlNaiveBayes.formula	Supervised classification using naive Bayes
mlNnet	Supervised classification and regression using neural network
mlNnet.default	Supervised classification and regression using neural network
mlNnet.formula	Supervised classification and regression using neural network
mlQda	Supervised classification using quadratic discriminant analysis
mlQda.default	Supervised classification using quadratic discriminant analysis
mlQda.formula	Supervised classification using quadratic discriminant analysis
mlRforest	Supervised classification and regression using random forest
mlRforest.default	Supervised classification and regression using random forest
mlRforest.formula	Supervised classification and regression using random forest
mlRpart	Supervised classification and regression using recursive partitioning
mlRpart.default	Supervised classification and regression using recursive partitioning
mlRpart.formula	Supervised classification and regression using recursive partitioning
mlSvm	Supervised classification and regression using support vector machine
mlSvm.default	Supervised classification and regression using support vector machine
mlSvm.formula	Supervised classification and regression using support vector machine
ml_knn	Supervised classification using k-nearest neighbor
ml_lda	Supervised classification using linear discriminant analysis
ml_lvq	Supervised classification using learning vector quantization
ml_naive_bayes	Supervised classification using naive Bayes
ml_nnet	Supervised classification and regression using neural network
ml_qda	Supervised classification using quadratic discriminant analysis
ml_rforest	Supervised classification and regression using random forest
ml_rpart	Supervised classification and regression using recursive partitioning
ml_svm	Supervised classification and regression using support vector machine
plot.confusion	Plot a confusion matrix
plot.mlearning	Machine learning model for (un)supervised classification or regression
predict.mlearning	Machine learning model for (un)supervised classification or regression
predict.mlKnn	Supervised classification using k-nearest neighbor
predict.mlLda	Supervised classification using linear discriminant analysis
predict.mlLvq	Supervised classification using learning vector quantization
predict.mlNaiveBayes	Supervised classification using naive Bayes
predict.mlNnet	Supervised classification and regression using neural network
predict.mlQda	Supervised classification using quadratic discriminant analysis
predict.mlRforest	Supervised classification and regression using random forest
predict.mlRpart	Supervised classification and regression using recursive partitioning
predict.mlSvm	Supervised classification and regression using support vector machine
print.confusion	Construct and analyze confusion matrices
print.mlearning	Machine learning model for (un)supervised classification or regression
print.summary.confusion	Construct and analyze confusion matrices
print.summary.mlearning	Machine learning model for (un)supervised classification or regression
print.summary.mlKnn	Supervised classification using k-nearest neighbor
print.summary.mlLvq	Supervised classification using learning vector quantization
prior	Get or set priors on a confusion matrix
prior.confusion	Get or set priors on a confusion matrix
prior<-	Get or set priors on a confusion matrix
prior<-.confusion	Get or set priors on a confusion matrix
response	Get the response variable for a mlearning object
response.default	Get the response variable for a mlearning object
summary.confusion	Construct and analyze confusion matrices
summary.mlearning	Machine learning model for (un)supervised classification or regression
summary.mlKnn	Supervised classification using k-nearest neighbor
summary.mlLvq	Supervised classification using learning vector quantization
train	Get the training variable for a mlearning object
train.default	Get the training variable for a mlearning object