In this paper, Weighted Decision Tree
Prediction Model is proposed for landslide Risk Analysis.
Then the selected attribute is eliminated from the list of attributes and again information gain is calculated for remained attributes until the whole decision tree
would be developed.
The sum of the predictions made from decision trees
determines the overall prediction of the forest.
are robust tools which accommodate both large and small data sets.
Keywords: support vector machine, decision tree
, class separability, information gain, Gini Index and Chi-squared, interclass scatter, intraclass scatter.
The Decision Trees
, which are a feature of this documentation, are especially useful in helping both new and experienced users to select the appropriate routine for the problem at hand in a matter of minutes.
Logistic regression models, neural networks, and decision trees
were used to analyze the data.
The features used for both the decision trees
are invariant moments.
In the context of decision trees
, this kind of test is called an oblique split.
Unconventional methods like decision trees
could also be used in order to estimate the factors of banks' profitability.
5 to microarray-based gene expression data in order to induce decision trees
for identification of breast cancer patients.
The FSA found that overall firms selling stakeholders preferred to use their established sales methods, rather than getting people to use decision trees