User girl101

11 votes

4 answers

4k views

Books on Reinforcement Learning

asked Aug 5, 2015 at 5:58

8 votes

4 answers

2k views

Does reinforcement learning require the help of other learning algorithms?

asked Sep 7, 2015 at 8:29

7 votes

2 answers

11k views

Why will the accuracy of a highly unbalanced dataset reduce after oversampling?

asked Feb 23, 2018 at 8:51

7 votes

2 answers

218 views

Which statistical test tells which classifier performs better than the other?

asked Dec 20, 2019 at 4:51

6 votes

2 answers

5k views

What is the meaning of spherical dataset?

asked Aug 7, 2017 at 8:51

5 votes

1 answer

1k views

What is conjugate gradient descent?

asked Sep 30, 2015 at 13:04

4 votes

1 answer

136 views

Value Updation Dynamic Programming Reinforcement learning

asked Aug 7, 2015 at 4:31

4 votes

2 answers

12k views

Ratio of positive to negative sample in data set for best classification

asked Aug 29, 2015 at 10:27

4 votes

2 answers

9k views

What is a discrimination threshold of binary classifier?

asked Feb 3, 2015 at 8:52

4 votes

4 answers

214 views

Algorithm for deriving multiple clusters

asked May 29, 2015 at 7:39

4 votes

1 answer

1k views

Is there a problem of over fitting in my dataset?

asked Aug 8, 2016 at 4:32

4 votes

1 answer

1k views

Why is oversampling outperforming class weight?

asked Apr 19, 2020 at 4:05

3 votes

1 answer

511 views

How many features should I take out of 515 features?

asked Aug 6, 2016 at 3:06

3 votes

1 answer

1k views

What is the allowable limit of oversampling?

asked Feb 8, 2018 at 10:49

3 votes

1 answer

180 views

When to stop calculating values of each cell in the grid in Reinforcement Learning(dynamic programming) applied on gridworld

asked Aug 5, 2015 at 10:27

3 votes

2 answers

212 views

Reason behind choosing Neural Network for classification

asked Oct 19, 2015 at 2:35

2 votes

2 answers

171 views

Data repositories like UCI

asked Jun 27, 2015 at 3:41

2 votes

1 answer

171 views

Does classification of a balanced data-set lead to any problem?

asked Mar 27, 2018 at 12:46

2 votes

2 answers

192 views

Different runs of feature selection algorithm giving different set of selected feature. How to choose the best set among them?

asked Aug 5, 2016 at 8:14

2 votes

1 answer

145 views

Different accuracy for different rng values

asked Aug 9, 2016 at 5:45

2 votes

2 answers

1k views

Ideal difference in the training accuracy and testing accuracy

asked Jul 8, 2017 at 6:12

1 vote

2 answers

100 views

What can be done to increase the accuracy of a biological dataset? [closed]

asked Aug 1, 2017 at 9:16

1 vote

1 answer

79 views

Query regarding neural network model

asked Aug 24, 2016 at 7:41

1 vote

1 answer

812 views

Accuracy value constant even after different runs

asked Aug 8, 2016 at 9:57

1 vote

1 answer

477 views

What is the advantage of using Dunn index over other metrics for evaluating clustering algorithm? [closed]

asked Feb 19, 2018 at 3:51

1 vote

0 answers

61 views

How to classify a dataset into 5 classes even though the performance is low?

asked Aug 9, 2018 at 14:21

1 vote

2 answers

862 views

Does reinforcement learning only work on grid world?

asked Mar 2, 2015 at 5:10

1 vote

1 answer

157 views

Query related to Matlab Neural Network toolbox

asked Oct 25, 2015 at 5:42

1 vote

1 answer

992 views

How to form Hessian matrix in BFGS Quasi-Newton Method

asked Jun 24, 2016 at 7:43

1 vote

1 answer

64 views

Which value of output should be taken in multiple sessions of training Neural Network

asked Sep 29, 2015 at 8:58

Stack Exchange Network

38 Questions

Books on Reinforcement Learning

Does reinforcement learning require the help of other learning algorithms?

Why will the accuracy of a highly unbalanced dataset reduce after oversampling?

Which statistical test tells which classifier performs better than the other?

What is the meaning of spherical dataset?

What is conjugate gradient descent?

Value Updation Dynamic Programming Reinforcement learning

Ratio of positive to negative sample in data set for best classification

What is a discrimination threshold of binary classifier?

Algorithm for deriving multiple clusters

Is there a problem of over fitting in my dataset?

Why is oversampling outperforming class weight?

How many features should I take out of 515 features?

What is the allowable limit of oversampling?

When to stop calculating values of each cell in the grid in Reinforcement Learning(dynamic programming) applied on gridworld

Reason behind choosing Neural Network for classification

Data repositories like UCI

Does classification of a balanced data-set lead to any problem?

Different runs of feature selection algorithm giving different set of selected feature. How to choose the best set among them?

Different accuracy for different rng values

Ideal difference in the training accuracy and testing accuracy

What can be done to increase the accuracy of a biological dataset? [closed]

Query regarding neural network model

Accuracy value constant even after different runs

What is the advantage of using Dunn index over other metrics for evaluating clustering algorithm? [closed]

How to classify a dataset into 5 classes even though the performance is low?

Does reinforcement learning only work on grid world?

Query related to Matlab Neural Network toolbox

How to form Hessian matrix in BFGS Quasi-Newton Method

Which value of output should be taken in multiple sessions of training Neural Network