Dwdm 2.f

 F.)Load each dataset and observe the following:

1. List the attribute names and they type.

2. Number of records in each dataset

3. Identify the class attribute (if any)

4. Plot Histogram

5. Determine the number of records for each class.

6. Visualize the data in various dimensions

Procedure:

1) Open the WEKA tool and Select the Explorer option.

2) A new window will be opened which consists of six tabs – Preprocess, Classify, 

Cluster, Associate, Select Attributes and Visualize.

3) In the Preprocess tab, Click the “Open file” option.

4) Go to C:\Program Files\Weka-3-8-6\data for finding different existing .arff

datasets.

5) Click on any of the dataset for loading the data and then the data will be

displayed as shown.

6) Here Weather.arff dataset is chosen as sample for all the observations.

1. List the attribute names and their type.

There are 5 attributes and its data type presented in the loaded dataset Weather.arff.

S.NO. ATTRIBUTE NAME DATA TYPE

1              Outlook                Nominal

2            Temperature.         Nominal

3               Humidity.            Nominal

4               Windy.                 Nominal

5                  Play                   Nominal

2. Number of records in each dataset

There is total 14 records (Instances) in the loaded dataset Weather.arff.

3. Identify the class attribute (if any)

Play is the class attribute in the loaded dataset Weather.arff.

4. Plot Histogram

//////Draw the histogram displayed in your weka weather dataset/////////

5. Determine the number of records for each class.

S.NO. ATTRIBUTE NAME RECORDS (INSTANCES)

1                Outlook                  14

2          Temperature              14

3.            Humidity.                14

4                Windy                    14

5                Play                        14

6. Visualize the data in various dimensions

Plot Matrix for the loaded dataset Weather.arff.

///////Draw the plot by clicking on visualize button //////