classification

  1. Coefficients from Logistic Regression using Scikit-Learn

  2. When do we speak of imbalanced data?

  3. Given a word (not in a sentence) how to find the category?
  4. nature of variables
  5. How to build the feature vector from sentence for intent classification in NLU?
  6. How to compare the accuracy of two different models using statistical significance

  7. Classification of Malicious URLs

  8. Useful tips for solving classification problem

  9. Financial Slang and NLP for Sentiment Analysis
  10. SVM Kernel confusion

  11. Can I use LSTM for Text Classification into Categories?

  12. What value of β to choose in Weighted F score to give more weight to precision
  13. NLP: How to do feature normalisation for gender classificiation?
  14. Classification - only one support vector possible?
  15. Multiple digits MNIST and transfer learning
  16. Convolutionalizing fully connected layers to form an FCN in Keras

  17. How to choose threshold in probabilistic multi-label classification?
  18. Is this a theoretically sound method for multi-label classification?

  19. Multi-label classification: Predict product category

  20. Beginner level -- applying machine learning to predict unknown pattern
  21. Constrained classification - how to classify a set of related items
  22. Transforming income data from past several years
  23. Logistic regression and classification: Adjusting or removing decision boundaries

  24. Classification loss of a partial vector sum

  25. Named entity recognition (NER) features
  26. How to select predictor variables for a classification model?

  27. ML Model : Number of features different in training data and actual data

  28. Difference of Prediction between Graph Representation and Data Matrix Representation

  29. Intrusion detection datasets file preparing

  30. recurrent neural networks for sentence similarity

  31. Classification with confidence scores: is regression ok?
  32. Comparing different methods of handling variable feature vector length

  33. Log-odds transformation in gbm binary classification
  34. What does the term "gold label" refer to in the context of semi-supervised classification?

  35. What train/test accuracy to expect from various classifiers on 6-multiclass problem?

  36. HOW CAN I USE A GAUSSIAN MIXTURE model for CUSTOMER CLASSIFICATION?
  37. Algorithms for detecting pattern shifts in time series data?
  38. # of positive to # of negative instances

  39. what is the correct permutation scheme for assessing the significance of the cross-validated accuracy of a two class classifier?
  40. Wilcoxon test interpretation to compare three observations

  41. How to get the area under the curve from multivariate analysis
  42. Definition of activation of input units xi = si in ADALINE

  43. Random Forest Post-pruning Scikit-Learn

  44. Stopping a multi-class classification prior to reaching the leaf nodes
  45. SVM classification step on embedded system with RBF kernel

  46. What is the difference between MIQ and MID in MRMR for feature Selection

  47. Can logistic regression learn the decision boundary directly?

  48. Classification of categorical value using time-series graphs?

  49. Does using a kernel function make the data linearly separable? If so, why using soft-margin SVM?

  50. Difference between Ward hierarchical clustering and K-Means for classification

  51. Multiclass classifier with given number of possible hyperplanes
  52. Svm-scaling for training and testing using libsvm on matlab

  53. Why do my Feature Importance and Partial Dependence plots not agree?

  54. Identical variable importance values for different model types

  55. Can't get Accuracy above 15% on CIFAR-10 dataset

  56. Predictive model(s) to predict disease at a future time $t_1$, given the predictor and output values at time points $t_0,t_1$?
  57. Setting up a MLP for binary classification with tensorflow
  58. Reinforcement Learning for predictive Analytics
  59. How to operate on a count dataset (positive whole numbers with a lot of zeros) using neural networks for classification?
  60. Binary classification with multiple imputations
  61. How to classify data which is spiral in shape?
  62. Implementation of online classification algorithms?

  63. Train and test in naiveBayes

  64. multi-class classification and imbalanced classes

  65. Finding the association between news and currency changes
  66. Relevant statistical features for time in consumer data

  67. How to use the information in soft (class) labels?

  68. What are soft classes?

  69. Classification for high dimension data

  70. How to classify an arbitrary chain of states(features)?

  71. How to process the multi-labels issue that one label is between 0 an 1
  72. Guidelines for doing Maximum likelihood for nonlinear classification?

  73. Keras - text classification, overfitting, and how to improve my model?

  74. What is a good loss function in multiclass multilabel classification where only one of the possible labels is observed?

  75. Regression trees with multiple input and output levels
  76. How do I include additional types of features in my classifier?
  77. Document classification with naive Bayes algorithm

  78. Why use Normalized Gini Score instead of AUC as evaluation?
  79. Probability threshold and signal/noise ratio
  80. Caret error: train()'s use of ROC codes requires class probabilities. See the classProbs option of trainControl() when using Logistic Regression
  81. Algorithm recommendation: Short string classification/matching (fuzzy string matching or machine learning ?)

  82. LibSVM - Multi class classification with unbalanced data
  83. Binary classification of DNA sequence motifs

  84. What are the pros and cons between retraining last layer and implement a clasifier for face recognition?

  85. In prediction from expert advice (weighted majority etc), why do we want an online algorithm?

  86. Why do we use logistic regression for classification problems, rather than other continuous functions?
  87. Is there an opposite to Clustering or "Anti-"Clustering?
  88. Explanation of DNNClassifier in TensorFlow
  89. Repeating rare examples in unbalanced data classification

  90. Specific object detection

  91. Word embedding as features for classification
  92. How can I plot an ROC curve?

  93. Weighting more recent data in Random Forest model

  94. Python Scikit-Learn SVM - No Predicted Samples for a Class
  95. How to perform classification if you had to use linear regression?
  96. How can I interpret the results of LSA?
  97. How do I approach a multi-class classification problem involving a 2-part taxonomy?

  98. Highly correlated features in text mining despite mutual information criterion
  99. What happens if the test set is too small in machine learning?

  100. Comparing classification algorithms using cross validation and caret's train