- #Weka download for windows 7 full
- #Weka download for windows 7 plus
- #Weka download for windows 7 free
RandomForest (several model trees combined).M5P (splitting domain into successive binary regions and then fit linear models to each tree node).DecisionStump (same as M5' but with a single number output in each node).M5Rules (M5' algorithm presented in terms of mathematical function without a tree).
#Weka download for windows 7 full
The full list of tools is available here. Among the native packages, the most famous tool is the M5p model tree package. Native packages are the ones included in the executable Weka software, while other non-native ones can be downloaded and used within R.Weka environment.
Weka has a large number of regression and classification tools.
The Visualize panel shows a scatter plot matrix, where individual scatter plots can be selected and enlarged, and analyzed further using various selection operators. The Select attributes panel provides algorithms for identifying the most predictive attributes in a dataset. There is also an implementation of the expectation maximization algorithm for learning a mixture of normal distributions. The Cluster panel gives access to the clustering techniques in Weka, e.g., the simple k-means algorithm. The Associate panel provides access to association rule learners that attempt to identify all important interrelationships between attributes in the data. The Classify panel enables applying classification and regression algorithms (indiscriminately called classifiers in Weka) to the resulting dataset, to estimate the accuracy of the resulting predictive model, and to visualize erroneous predictions, receiver operating characteristic (ROC) curves, etc., or the model itself (if the model is amenable to visualization like, e.g., a decision tree). These filters can be used to transform the data (e.g., turning numeric attributes into discrete ones) and make it possible to delete instances and attributes according to specific criteria. The Preprocess panel has facilities for importing data from a database, a comma-separated values (CSV) file, etc., and for preprocessing this data using a so-called filtering algorithm. The Explorer interface features several panels providing access to the main components of the workbench: Ease of use due to its graphical user interfaces. 
A comprehensive collection of data preprocessing and modeling techniques. Portability, since it is fully implemented in the Java programming language and thus runs on almost any modern computing platform. #Weka download for windows 7 free
Free availability under the GNU General Public License. This original version was primarily designed as a tool for analyzing data from agricultural domains, but the more recent fully Java-based version (Weka 3), for which development started in 1997, is now used in many different application areas, in particular for educational purposes and research. #Weka download for windows 7 plus
The original non-Java version of Weka was a Tcl/Tk front-end to (mostly third-party) modeling algorithms implemented in other programming languages, plus data preprocessing utilities in C, and a Makefile-based system for running machine learning experiments. Weka contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions.
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