Starting with WEKA ...

classic Classic list List threaded Threaded
1 message Options
JC
Reply | Threaded
Open this post in threaded view
|

Starting with WEKA ...

JC
Hi everyone!

I am new in Machine Learning and I would like learn how to use WEKA because
finally I will try to do my project using Apache Spark MLlib + Java + WEKA.

I have been reading you time ago and now I want to try use WEKA

I am working with this .arff file:

*.arrf file*

@relation pruebas

@attribute 'ID Patient' {'Cristian Neagu',Vera}
@attribute Institution {Teamnet,V11app}
@attribute Register {'2018-01-16 12:23:15','2018-01-16 12:19:13','2018-01-16
12:23:48','2018-01-16 12:23:54','2018-01-16 12:27:43','2018-01-16
12:30:29','2018-01-16 12:39:07','2018-01-16 12:39:21','2018-01-16 12:44:09'}
@attribute ECG/EKG {'1, -0.04, 0.16, -0.05, 0.06, 0.18, 0.01, 0.34, -0.08,
-0.44, -0.64, 0.05, -0.18, -0.37, -0.27, -0.04, -0.25, -0.19, -0.08,
-0.30','-1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50,
-1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50, -1.50,
-1.50'}
@attribute Temp numeric
@attribute 'SPO2 Min' numeric
@attribute 'SPO2 Max' numeric
@attribute 'BPM Min' numeric
@attribute 'BPM Max' numeric
@attribute 'BPM Avg' numeric
@attribute SYS numeric
@attribute DIA numeric
@attribute 'EDA Min' numeric
@attribute 'EDA Max' numeric
@attribute 'EDA Avg' numeric
@attribute 'Result Deleted' {N}
@attribute 'Result Uploaded' {Y}
@attribute 'Date Uploaded' {'2018-01-16 12:23:20','2018-01-16
12:28:51','2018-01-16 12:30:36','2018-01-16 12:44:24'}
@attribute 'Date Deleted' {N}

@data

...

And I am having some errors when I try to use differents algorithms, for
example:

   - NaiveBayes: java.lang.IllegalArgumentException: Cannot handle unary
class!
   - J48: java.lang.IllegalArgumentException: Cannot handle unary class!

I'm using this calls from Eclipse using Java:
   - String command = "java -classpath
$CLASSPATH:/home/stu/Desktop/Programms/weka-3-8-3/weka.jar
weka.classifiers.trees.J48 -C 0.25 -M 2 -X 3 -t
/home/stu/Desktop/Programms/HPdata/datafinal/*.arff";

In cmd: java -classpath
$CLASSPATH:/home/stu/Desktop/Programms/weka-3-8-3/weka.jar
weka.classifiers.trees.J48 -C 0.25 -M 2 -X 3 -t
/home/stu/Desktop/Programms/HPdata/datafinal/*.arff
               

What's could be the problem? Can't I use these algorithms with my data? or I
am wrong with something.

Thank you guys for reading and try to help me.
Regards.



--
Sent from: http://weka.8497.n7.nabble.com/
_______________________________________________
Wekalist mailing list
Send posts to: [hidden email]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/mailman/listinfo/wekalist
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html