machine-learning

machine-learning

How to write a custom evaluation metric in python for xgboost?

Is F1 micro the same as Accuracy?

Getting scoring results for test&traing sets with SSAS data mining

How to use data different than images with Caffe?

Classifying words inside a document

Should I remove stopwords when feed sentence to RNN

Does type of input to the neural network matter?

Constructing ROC curve for FAR and FRR values

Which is the most efficient framework for Semantic Analysis in Machine Learning? [closed]

Applying custom costfunction in TensorFlow's SKFlow model training

Can machine learning algorithm learn to predict a "random" number from a generator to at least 50% accuracy? [closed]

LibSVM for Multi-Class SVM Accuracy

how to split dataset to training set and validation set [closed]

Classify a text with weka after classifier has been trained

Sequence Analysis and Predicting the Next Label

GPU computing: how much VRAM do I need for mini batch gradient descent?

Weka - Threshold curve and accuracy

What is Maximum Entropy?

Can linear classification take non binary targets?

How to use custom dataset in tensorflow?

What is the difference between value iteration and policy iteration? [closed]

Machine learning model suggestion for large imbalance data

Implementing tensorflow functionality in deeplearning4j

Normal Distribution of AUROCs

Case of No examples left while constructing a Decision Tree

Improvements of Random Search for Hyperparameter Optimization

How do I determine the training "accuracy" for a TensorFlow network with dropout?

Compute the virtue of this feature for binary classification

Custom kernels for SVM, when to apply them?

How can I implement maxout with caffe?

Predict car accidents with tensorflow

How to make the non-separable data to become separable?

Choosing Data Set for Mahout recommend item based algorithm

High bias convolutional neural network not improving with more layers/filters

Tensorflow for 1D input vector

Vowpal Wabbit Multiclass Linear Classification

How to conduct a proper comparison between systems using SVM with RBF kernel?

Gradient descent : should delta value be scalar or vector?

TensorBoard - Plot training and validation losses on the same graph?

Finetune a Caffe model in Torch

Lasagne autoencoder: how do I just use the decoder part?

Agglomerative hierarchical clustering technique

File "something" is not recognized as an Arff datafiles

Understanding Naive Bayes

Probability prediction method of KNeighborsClassifier returns only 0 and 1

Why does this model have softmax layer?

Why for 10-fold cross validations Weka runs learning algorithm 11 times?

Neural network model not learning?

What are hidden units in individual LSTM cells?

Dose normalization help to get better correlation?

When I train my caffe model, the loss always keeps a large value and the accuracy does not improve．

Manipulate Random forest to produce a score rather than 0/1 label

Deep neural network should hidden nodes increase, decrease, or stay the same

Is SVM resilient to noise

How to work with machine learning algorithms in embedded systems?

Instead LBFGS, using gradient descent in sparse autoencoder

Combining training, validation and test datasets

choose cluster in hierarchical clustering

Time Series Prediction using Recurrent Neural Networks

Naive Bayes unseen features handling scikit learn

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