hard voting versus soft voting in ensemble based methods
20173
hard voting, soft voting in ensemble based methods
63996
How to derive a ranking function by analysing feature correlations
123751
Restrictions on the use of universal generalization
108282
How to choose between learning algorithms
129280
Neural networks: why do we randomize the training set?
121138
Extreme learning machine: what's it all about?
42624
Class imbalance strategies
139415
Interpretation of Importance score in Random Forest
45
A better serial voting trap
45881
Methods to work around the problem of missing data in machine learning
100463
Random slot algorithm
138225
Nested cross validation for model selection
131954
Choosing IRLS over gradient descent in logistic regression
112897
Weighted random selection with and without replacement
109407
ROC curve and confusion matrix in classifier performance evaluation
99212
Revealing Identity of those who Vote Up or Down
73139
Flexible and inflexible models in machine learning