What is Q-learning?

Q-learning is a model-free reinforcement learning technique. Specifically, Q-learning can be used to find an optimal action selection policy for…

What is Pruning?

Pruning is a technique in machine learning that reduces the size of decision trees by removing sections of the tree…

What is Predictive Modeling?

Predictive Modeling is a process through which a future outcome or behavior is predicted based on the past and current…

What is Power Analysis?

Power Analysis is an important aspect of experimental design. It allows us to determine the sample size required to detect…

What is Paired t-Test?

Paired t-Test has its purpose in the testing is to determine whether there is statistical evidence that the mean difference…

What is Overfitting?

Overfitting in mathematics and statistics is one of the most common tasks consisting in attempts to fit a “model” to…

What is Out-Of-Sample Evaluation?

Out-Of-Sample Evaluation means to withhold some of the sample data from the model identification and estimation process, then use the…

What is Outlier?

Outlier is an observation point that is distant from other observations. An outlier may be due to variability in the…