Tag: bias

20 Why underfitting is called high bias and overfitting is called high variance? 2019-02-14T14:33:54.183

8 Question on bias-variance tradeoff and means of optimization 2018-04-12T20:19:53.473

5 Bagging vs Boosting, Bias vs Variance, Depth of trees 2019-10-15T13:19:59.797

5 What are bias and variance in machine learning? 2020-08-12T08:10:53.703

4 Trade off between Bias and Variance 2018-04-28T07:22:09.543

3 Correcting log-bias in the output of an XGB 2018-02-19T15:18:25.933

3 Whether add bias or not in a perceptron 2018-08-02T09:34:21.817

3 Bias-variance tradeoff in practice (CNN) 2019-01-17T09:40:28.840

3 Is normalizing the validation set of time series a kind of look ahead bias? 2019-03-09T21:31:54.157

3 Learning curve using micro F-score and macro F-score 2019-09-01T23:09:54.880

3 Bagging vs pasting in ensemble learning 2020-04-10T08:16:04.823

2 When should the bias b be updated with weights w and when should it be updated seperately? 2018-06-18T10:43:55.860

2 LSTM regression bias increases when targets go close to 0 2018-11-29T16:19:01.577

2 svm optimization problem 2018-12-06T14:54:58.177

2 Linear machine learning algorithms "often" have high bias/low variance? 2018-12-14T18:00:49.377

2 Bias-variance tradeoff and the uncertainty principle 2019-04-23T00:56:39.533

2 Bias Formula in Machine Learning expanded using ground truth 2020-02-25T20:33:27.203

2 How much can bias decrease performance of the network at the beginnng of the training? 2020-03-10T06:09:38.870

2 Which between random forest or extra tree is best in a unbalance dataset? 2020-06-21T20:08:29.803

2 How to measure deviance resulting from different random seeds in machine learning? 2020-07-14T10:23:35.457

2 How does C have effects on bias and variance of a Support Vector Machine? 2020-08-16T06:58:09.233

2 Predictive modeling when output affects future input 2020-10-19T08:35:36.570

2 Why is it okay to set the bias vector up with zeros, and not the weight matrices? 2020-10-21T20:22:41.443

1 Weights and bias' relative to preprocessed X 2018-03-14T16:24:03.030

1 How is the equation for the relation between prediction error, bias, and variance defined? 2018-06-15T07:33:36.740

1 Bias of 1 in fully connected layers introduced dying relu problem 2018-08-22T17:15:47.270

1 Training dataset decreasing in quality (Google data science blog) 2018-10-13T18:50:45.073

1 Free parameters in logistic regression 2018-10-13T20:29:31.540

1 Simulate Biased dataset Python 2019-02-15T18:39:44.667

1 Model biased towards low frequency data? 2019-05-24T02:59:13.803

1 Math behind, MSE = bias^2 + variance 2019-06-14T05:22:06.163

1 bias variance decomposition for classification problem 2019-06-19T12:59:00.703

1 Why is there a trade-off between bias and variance in supervised learning? Why can't we have best of both worlds? 2019-08-27T14:13:04.733

1 What is the defining Set in NLP 2019-10-09T15:46:11.343

1 Calculation of Neural network biases in backpropagation 2019-11-19T21:24:08.907

1 Measuring the bias of a machine learning model 2020-04-13T15:16:50.417

1 How to calculate irreducible error using Bias and Variance for a given machine learning Model? 2020-05-04T19:37:40.650

1 Derivative of Loss wrt bias term 2020-06-02T00:20:23.470

1 Do non-parametric models always overfit without regularization? 2020-07-16T01:23:52.287

1 Is there a quantitative way to determine if a class of algorithms tends produce low bias or low variance models? 2020-12-02T14:26:54.873

1 Model Selection using Bias Variance Trade Off 2021-01-05T11:16:56.027

0 Can You Purposely Bias A Clustering Model? 2018-04-05T16:55:08.433

0 Maths question on mean squared error being dervied to bias and variance 2018-07-28T05:39:58.563

0 Relationship between train and test error 2018-10-04T00:48:03.010

0 Bias and variance in the model o in the predictions? 2019-06-25T19:51:24.207

0 I have tried 5 different types of model but all returns really low training accuracy (~64%) and low testing accuracy (~14%). What should I do? 2019-07-15T05:07:57.073

0 Should bias updates be porportional to overfitting? 2020-03-11T07:23:52.587

0 Amount of data needed for deep learning vs support vector machine 2020-05-14T06:20:45.567

0 How to reconstruct an unbiased data set? 2020-05-16T21:36:32.133

0 Exploratory statistics, how to idenify and remove driver (bias) 2020-05-18T13:33:22.893

0 build biased image dataset for emotion analysis 2020-06-09T13:35:06.050

0 Question regarding strata in Geron's book 2020-06-11T20:49:47.630

0 Is recommendable look for high variance when your data is imbalance? 2020-06-27T10:11:14.203

0 Does training of neural networks follow the same order in each epoch? 2020-07-24T08:47:02.603

0 DNN predicting the same value for train+test Data 2020-09-07T05:08:36.213

0 Odd results on bias-variance tradeoff assessment 2020-09-16T18:13:14.430

0 Dropping Missing Observations under MAR Assumption 2020-10-23T21:31:13.807

0 Bias variance tradeoff boosting (xgboost) vs random forest (randomized bagging) which to use when? 2020-10-27T16:19:23.117

0 Effect of batch during prediction 2020-11-02T20:03:51.170

0 how to know if there is a bias in data collection methods 2020-12-31T18:42:16.277