<we><edit> <!-- questions and answers -->
prediction
pca
multivariate-analysis
interaction
least-squares
normalization
optimization
lme4-nlme
bootstrap
autocorrelation
regression-coefficients
panel-data
categorical-data
survey
multiple-comparisons
cross-validation
modeling
covariance
cox-model
hypothesis-testing
distributions
logistic
maximum-likelihood
lasso
random-variable
classification
Conveying uncertainty in accuracy measurements for machine learning models
machine-learning
classification
neural-networks
uncertainty
When to use Gaussian mixture model?
classification
svm
gaussian-mixture
generalized-moments
In R, classification of categorical and continuous variable together in the same dataset
r
classification
categorical-data
data-mining
How to design a complex machine learning system where individual classifiers can be retrained without modifying rest of the system?
machine-learning
classification
Is it possible, to compare classifiers using Dietterich's 5x2cv paired t test and Matthew's correlation coefficient as an "error" metric?
machine-learning
hypothesis-testing
classification
statistical-significance
paired-data
R: How to determine useful features by Mean Decrease in Accuracy (MDA) in random forest algorithm?
r
classification
neural netork loss function for hierarchical classification
classification
conv-neural-network
loss-functions
Probabilistic classification using kernel density estimation
classification
scikit-learn
kernel-smoothing
How to deal with a highly unbalanced classification problem?
classification
mathematical-statistics
unbalanced-classes
How can I interpret the results of LSA?
classification
matlab
interpretation
lsa
Prediction vs. Classification in neural networks
classification
neural-networks
prediction
Is there a Bayesian decision rule based on likelihood alone? And if so, what is its error rate?
self-study
classification
bayesian
error
decision-theory
Under what circumstance does $P(X|H) = P(H|X)$?
classification
bayesian
frequentist
J48 decision trees in weka
classification
weka
Classification vs Linear Regression
regression
classification
How to choose the cutoff probability for a rare event Logistic Regression
regression
logistic
classification
generalized-linear-model
roc
R, rpart(), classification tree, cptable$xerror
r
classification
cart
rpart
Classification probability threshold
machine-learning
classification
binary-data
KNN and K-folding in R
r
classification
cross-validation
k-nearest-neighbour
caret
Why will the validation set error underestimate the generalisation error?
machine-learning
hypothesis-testing
distributions
classification
variance
Poor performance of binary classification with DCNNs
classification
neural-networks
convergence
conv-neural-network
tensorflow
How to improve classification based on 2D distance between classes
machine-learning
classification
svm
confusion-matrix
What do the thresholds on x and y axis of ROC curve represent?
classification
roc
auc
decision-theory
Understanding the math behind linear discriminant analysis
classification
pca
references
discriminant-analysis
How to understand confusion matrix for 3x3
logistic
classification
confusion-matrix
Convolutionalizing fully connected layers to form an FCN in Keras
classification
neural-networks
deep-learning
keras
State of the art results on Cifar-10
machine-learning
classification
Is it possible to design a global image classifier?
machine-learning
classification
neural-networks
optimization
deep-learning
Text classification based on keywords
machine-learning
classification
text-mining
naive-bayes
Modulation Signal for a Neural Network
classification
neural-networks
signal-processing
Recommender System + Collaborative filtering without users
classification
scikit-learn
recommender-system
Many binary classifiers vs. single multiclass classifier
classification
modeling
experiment-design
model
Machine Learning model for dealing with Curse of Dimensionality
machine-learning
classification
predictive-models
k-nearest-neighbour
high-dimensional
Find patterns in multidimensional time series with few examples per class and possible class duration variation
time-series
classification
sequential-pattern-mining
What is the best way to use Latitude and Longitude features in building a Machine Learning model?
machine-learning
classification
feature-construction
Are Decision Trees well-suited for Sentiment Analysis (of tweets)?
classification
python
scikit-learn
cart
sentiment-analysis
Comprehensive evaluation measure!
classification
roc
performance
model-evaluation
I care about the precision of a few of the classes, how would I write a custom XGBoost objective function?
classification
xgboost
How to make predictions using multiclass unbalanced data?
classification
unbalanced-classes
Comparing supervised text classification algorithms with unlabeled documents from web
classification
unsupervised-learning
model-comparison
web
Feed guess features into unsupervised learnin classification?
classification
unsupervised-learning
feature-construction
Reversed Naive Bayes - likelihood and parameter estimation
classification
naive-bayes
bayesian-network
Bayes risk for Bayesian classifier with multivariate Gaussian
machine-learning
classification
multivariate-normal
SVM Kernel confusion
machine-learning
classification
svm
kernel-trick
Supervised learning: setting labels on sliding windows of sensor data
time-series
classification
supervised-learning
moving-window
labeling
Information gain and mutual information: different or equal?
classification
feature-selection
information-theory
mutual-information
sentiment-analysis
How can I implement a CRF feature function?
classification
graphical-model
conditional-random-field
Algorithm recommendation: Short string classification/matching (fuzzy string matching or machine learning ?)
classification
Time Series Classification?
machine-learning
time-series
classification
neural-networks
recurrent-events
How to quantify prediction error of a continuous target variable?
regression
classification
predictive-models
Why LR and linear classification model doesn't work on one-hot encoded data?
logistic
classification
linear-model
sgd
Giving weights to classes in classification problem to ensure correct prediction of certain classes
machine-learning
classification
unbalanced-classes
accuracy
weights
How to find the accuracy of regression data using XGboost model?
r
classification
kaggle
Viterbi Algorithm for non probabilistic classifier
machine-learning
classification
natural-language
viterbi-algorithm
memm
Are Voronoi diagrams used in kNN algo implementations?
classification
data-visualization
k-nearest-neighbour
Help interpreting formula for multi-class hinge loss
classification
svm
gradient-descent
multi-class
Pros and cons of Logistic Regression, Naive Bayes, Random Forest, Tree and kNN
logistic
classification
random-forest
naive-bayes
k-nearest-neighbour
Data augmentation and effective class imbalance
classification
conv-neural-network
unbalanced-classes
image-processing
data-augmentation
How to improve classification performance based on multiple known classification results
machine-learning
classification
multi-class
Classification with confidence scores: is regression ok?
machine-learning
classification
Alternative to Shannon's entropy when probability equal to zero
classification
entropy
Nature of variations captured my first few principal components.
classification
pca
On what basis can we combine levels in a factor variable when the target variable is binary?
classification
categorical-data
data-preprocessing
many-categories
How to draw confusion matrix for this classifier?
classification
confusion-matrix
How to solve a multi-class and multi-label problem?
classification
multi-class
multilabel
Creating a predictive model based on past customer data.
classification
predictive-models
data-mining
Erratic learning curves diagnosis?
machine-learning
classification
neural-networks
cross-validation
supervised-learning
What train/test accuracy to expect from various classifiers on 6-multiclass problem?
r
machine-learning
classification
accuracy
multi-class
Setting up a MLP for binary classification with tensorflow
machine-learning
classification
deep-learning
tensorflow
How to plot boundary line of binary classification algorithm
classification
matlab
binary-data
What is the difference between explicit and implicit mapping in SVM?
machine-learning
classification
svm
kernel-trick
pattern-recognition
How to compare the accuracy of two different models using statistical significance
time-series
machine-learning
statistical-significance
classification
performance
Is there something fundamentally wrong with using the same features/learning algorithm for the same data set given different labels?
machine-learning
classification
Estimating performance of a binary classifier
machine-learning
classification
cross-validation
svm
information-theory
How to compute F-measure and accuracy for repeated cross-validation
classification
cross-validation
bias
accuracy
One class of Ordinal DV values has too few observations - best way to address
r
classification
ordinal-data
multinomial
Optimal number of components in a Gaussian mixture
classification
k-means
mixture
unsupervised-learning
Fishers Exact Test construction
classification
statistical-significance
binomial
inference
Precision and recall are equal when the size is same
classification
precision-recall
How to select predictor variables for a classification model?
r
machine-learning
classification
predictive-models
Is f-measure synonymous with accuracy?
machine-learning
classification
data-mining
unbalanced-classes
accuracy
Classification using categorical and text data
classification
text-mining
ensemble
In a real application, how to improve the CNN performance?
classification
deep-learning
conv-neural-network
Applying the Bias-Variance tradeoff to calculate k in K-nearest-neighbour
machine-learning
classification
k-nearest-neighbour
Does the Discriminatory Power of a Set of Variables Necessarily Depend on the Correlation or Mutual Information with the Classifier?
classification
correlation
mutual-information
Calculating Area Under Curve
classification
scikit-learn
roc
auc
xgboost
Is AUC the probability of correctly classifying a randomly selected instance from each class?
classification
roc
auc
Train a Neural Network to distinguish between even and odd numbers
machine-learning
classification
categorical-data
neural-networks
genetic-algorithms
Is KNN a discriminative learning algorithm?
machine-learning
classification
k-nearest-neighbour
Random Forest training ROC score monotonically increasing with max_depth
classification
random-forest
overfitting
How to subset alternatives in nested multinomial logistic regression?
regression
logistic
classification
multilevel-analysis
subset
Is the log loss function $f(w) = y_t \log(y_p) + (1 - y_t) \log(1 - y_p)$ convex in $w$?
regression
logistic
classification
mathematical-statistics
convex
How to identify linearly separable datasets
machine-learning
classification
svm
separation
Can't get Accuracy above 15% on CIFAR-10 dataset
classification
deep-learning
conv-neural-network
Regarding the size of training data for building classifier
clustering
classification
data-mining
svm
naive-bayes
optimizing auc vs logloss in binary classification problems
classification
binary-data
auc
log-loss
Classification when each level has probability assigned to it
r
machine-learning
classification
beta-regression
How to not overlook rare but important features when preventing over-fitting in a decision tree?
classification
cart
train
K-means and maximum likelihood!
classification
clustering
maximum-likelihood
k-means
unsupervised-learning
Random Forests - Regression or Classification?
regression
machine-learning
classification
random-forest