<we><edit> <!-- questions and answers -->
linear-model
covariance
data-mining
machine-learning
cart
sample-size
normal-distribution
conv-neural-network
conditional-probability
arima
repeated-measures
data-transformation
mathematical-statistics
model-selection
classification
prediction
forecasting
factor-analysis
chi-squared
self-study
multiple-comparisons
dataset
variance
residuals
hypothesis-testing
classification
Coefficients from Logistic Regression using Scikit-Learn
regression
logistic
classification
optimization
scikit-learn
When do we speak of imbalanced data?
classification
terminology
unbalanced-classes
Given a word (not in a sentence) how to find the category?
classification
clustering
text-mining
methodology
nature of variables
classification
How to build the feature vector from sentence for intent classification in NLU?
classification
natural-language
feature-construction
How to compare the accuracy of two different models using statistical significance
time-series
machine-learning
statistical-significance
classification
performance
Classification of Malicious URLs
classification
autoencoders
one-class
Useful tips for solving classification problem
machine-learning
classification
scikit-learn
multi-class
multilabel
Financial Slang and NLP for Sentiment Analysis
machine-learning
classification
data-mining
natural-language
sentiment-analysis
SVM Kernel confusion
machine-learning
classification
svm
kernel-trick
Can I use LSTM for Text Classification into Categories?
classification
neural-networks
lstm
What value of β to choose in Weighted F score to give more weight to precision
machine-learning
classification
precision-recall
NLP: How to do feature normalisation for gender classificiation?
machine-learning
classification
normalization
natural-language
Classification - only one support vector possible?
classification
svm
Multiple digits MNIST and transfer learning
classification
neural-networks
conv-neural-network
object-detection
Convolutionalizing fully connected layers to form an FCN in Keras
classification
neural-networks
deep-learning
keras
How to choose threshold in probabilistic multi-label classification?
classification
threshold
multilabel
Is this a theoretically sound method for multi-label classification?
classification
Multi-label classification: Predict product category
machine-learning
classification
multinomial
matching
Beginner level -- applying machine learning to predict unknown pattern
self-study
classification
prediction
data-mining
Constrained classification - how to classify a set of related items
classification
constraint
Transforming income data from past several years
r
classification
modeling
data-transformation
Logistic regression and classification: Adjusting or removing decision boundaries
machine-learning
classification
logit
Classification loss of a partial vector sum
classification
loss-functions
cross-entropy
gan
torch
Named entity recognition (NER) features
machine-learning
classification
natural-language
feature-construction
named-entity-recognition
How to select predictor variables for a classification model?
r
machine-learning
classification
predictive-models
ML Model : Number of features different in training data and actual data
machine-learning
classification
neural-networks
multiple-regression
spark-mllib
Difference of Prediction between Graph Representation and Data Matrix Representation
machine-learning
classification
data-mining
graphical-model
graph-theory
Intrusion detection datasets file preparing
classification
dataset
matlab
supervised-learning
networks
recurrent neural networks for sentence similarity
classification
deep-learning
natural-language
rnn
Classification with confidence scores: is regression ok?
machine-learning
classification
Comparing different methods of handling variable feature vector length
classification
feature-selection
Log-odds transformation in gbm binary classification
logistic
classification
binary-data
boosting
What does the term "gold label" refer to in the context of semi-supervised classification?
classification
semi-supervised
What train/test accuracy to expect from various classifiers on 6-multiclass problem?
r
machine-learning
classification
accuracy
multi-class
HOW CAN I USE A GAUSSIAN MIXTURE model for CUSTOMER CLASSIFICATION?
classification
gaussian-mixture
Algorithms for detecting pattern shifts in time series data?
time-series
classification
pattern-recognition
anomaly-detection
# of positive to # of negative instances
classification
neural-networks
dataset
conv-neural-network
anomaly-detection
what is the correct permutation scheme for assessing the significance of the cross-validated accuracy of a two class classifier?
machine-learning
classification
accuracy
permutation-test
Wilcoxon test interpretation to compare three observations
classification
statistical-significance
wilcoxon-mann-whitney
How to get the area under the curve from multivariate analysis
classification
multivariate-analysis
Definition of activation of input units xi = si in ADALINE
machine-learning
classification
neural-networks
Random Forest Post-pruning Scikit-Learn
classification
random-forest
scikit-learn
pruning
Stopping a multi-class classification prior to reaching the leaf nodes
classification
multi-class
SVM classification step on embedded system with RBF kernel
classification
svm
matlab
kernel-trick
What is the difference between MIQ and MID in MRMR for feature Selection
machine-learning
classification
feature-selection
Can logistic regression learn the decision boundary directly?
logistic
classification
Classification of categorical value using time-series graphs?
r
machine-learning
time-series
classification
python
Does using a kernel function make the data linearly separable? If so, why using soft-margin SVM?
machine-learning
classification
svm
Difference between Ward hierarchical clustering and K-Means for classification
classification
k-means
hierarchical-clustering
ward
Multiclass classifier with given number of possible hyperplanes
machine-learning
classification
svm
dataset
multi-class
Svm-scaling for training and testing using libsvm on matlab
classification
svm
libsvm
Why do my Feature Importance and Partial Dependence plots not agree?
machine-learning
classification
data-visualization
feature-selection
random-forest
Identical variable importance values for different model types
r
classification
categorical-data
feature-selection
caret
Can't get Accuracy above 15% on CIFAR-10 dataset
classification
deep-learning
conv-neural-network
Predictive model(s) to predict disease at a future time $t_1$, given the predictor and output values at time points $t_0,t_1$?
classification
categorical-data
predictive-models
biostatistics
Setting up a MLP for binary classification with tensorflow
machine-learning
classification
deep-learning
tensorflow
Reinforcement Learning for predictive Analytics
classification
deep-learning
reinforcement-learning
How to operate on a count dataset (positive whole numbers with a lot of zeros) using neural networks for classification?
classification
neural-networks
count-data
multi-class
Binary classification with multiple imputations
r
classification
missing-data
multiple-imputation
How to classify data which is spiral in shape?
classification
tensorflow
Implementation of online classification algorithms?
classification
data-mining
java
Train and test in naiveBayes
r
classification
data-mining
multi-class classification and imbalanced classes
classification
unbalanced-classes
Finding the association between news and currency changes
classification
association-rules
Relevant statistical features for time in consumer data
machine-learning
distributions
classification
feature-selection
How to use the information in soft (class) labels?
machine-learning
probability
classification
What are soft classes?
machine-learning
probability
classification
tensorflow
Classification for high dimension data
machine-learning
classification
data-transformation
dataset
high-dimensional
How to classify an arbitrary chain of states(features)?
machine-learning
classification
markov-process
How to process the multi-labels issue that one label is between 0 an 1
classification
python
deep-learning
categorical-encoding
Guidelines for doing Maximum likelihood for nonlinear classification?
classification
maximum-likelihood
predictive-models
nonparametric
Keras - text classification, overfitting, and how to improve my model?
classification
neural-networks
text-mining
lstm
keras
What is a good loss function in multiclass multilabel classification where only one of the possible labels is observed?
classification
neural-networks
loss-functions
multi-class
multilabel
Regression trees with multiple input and output levels
regression
machine-learning
classification
references
cart
How do I include additional types of features in my classifier?
machine-learning
classification
Document classification with naive Bayes algorithm
r
bayesian
classification
text-mining
Why use Normalized Gini Score instead of AUC as evaluation?
classification
auc
model-evaluation
gini
kaggle
Probability threshold and signal/noise ratio
classification
neural-networks
threshold
precision
Caret error: train()'s use of ROC codes requires class probabilities. See the classProbs option of trainControl() when using Logistic Regression
r
logistic
classification
caret
Algorithm recommendation: Short string classification/matching (fuzzy string matching or machine learning ?)
classification
LibSVM - Multi class classification with unbalanced data
classification
svm
unbalanced-classes
libsvm
multi-class
Binary classification of DNA sequence motifs
hypothesis-testing
bayesian
classification
cross-validation
bioinformatics
What are the pros and cons between retraining last layer and implement a clasifier for face recognition?
machine-learning
classification
conv-neural-network
In prediction from expert advice (weighted majority etc), why do we want an online algorithm?
classification
prediction
online
Why do we use logistic regression for classification problems, rather than other continuous functions?
regression
logistic
classification
prediction
logistic-curve
Is there an opposite to Clustering or "Anti-"Clustering?
classification
clustering
Explanation of DNNClassifier in TensorFlow
machine-learning
classification
neural-networks
deep-learning
tensorflow
Repeating rare examples in unbalanced data classification
classification
neural-networks
signal-detection
bagging
Specific object detection
classification
unbalanced-classes
image-processing
object-detection
Word embedding as features for classification
classification
natural-language
word-embeddings
How can I plot an ROC curve?
machine-learning
classification
roc
excel
auc
Weighting more recent data in Random Forest model
r
machine-learning
classification
random-forest
Python Scikit-Learn SVM - No Predicted Samples for a Class
classification
python
svm
scikit-learn
How to perform classification if you had to use linear regression?
regression
classification
multiple-regression
How can I interpret the results of LSA?
classification
matlab
interpretation
lsa
How do I approach a multi-class classification problem involving a 2-part taxonomy?
machine-learning
classification
multi-class
Highly correlated features in text mining despite mutual information criterion
correlation
classification
text-mining
naive-bayes
mutual-information
What happens if the test set is too small in machine learning?
machine-learning
classification
cross-validation
Comparing classification algorithms using cross validation and caret's train
classification
cross-validation
algorithms
caret
model-comparison