Machine learning SMO:还没有建立模型

Machine learning SMO:还没有建立模型,machine-learning,classification,weka,moa,Machine Learning,Classification,Weka,Moa,我能够在MOA(Weka)中为案例1创建模型,但不能为“案例2”(相同的数据集)创建模型。有人能解释一下原因吗 案例1(IBk/LWL): java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l (meta.WEKAClassifier -l (weka.classifiers.lazy.IBk)) -s (ArffFileStream -f training_s2w.arff -c 1) -O mo

我能够在MOA(Weka)中为案例1创建模型,但不能为“案例2”(相同的数据集)创建模型。有人能解释一下原因吗

案例1(IBk/LWL):

java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l (meta.WEKAClassifier -l (weka.classifiers.lazy.IBk)) -s (ArffFileStream -f training_s2w.arff -c 1) -O model.moa"

java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "EvaluateModel -m file:model.moa -s (ArffFileStream -f test_s2w.arff -c 1) -o predicted.txt"
java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l (meta.WEKAClassifier -l (weka.classifiers.functions.SMO)) -s (ArffFileStream -f training_s2w.arff -c 1) -O model.moa"

java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "EvaluateModel -m file:model.moa -s (ArffFileStream -f test_s2w.arff -c 1) -o predicted.txt"
以上两个命令创建了一个模型,并成功地将其应用于测试数据

案例2(SMO/J48/NaiveBayes/BayesNet):

java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l (meta.WEKAClassifier -l (weka.classifiers.lazy.IBk)) -s (ArffFileStream -f training_s2w.arff -c 1) -O model.moa"

java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "EvaluateModel -m file:model.moa -s (ArffFileStream -f test_s2w.arff -c 1) -o predicted.txt"
java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "LearnModel -l (meta.WEKAClassifier -l (weka.classifiers.functions.SMO)) -s (ArffFileStream -f training_s2w.arff -c 1) -O model.moa"

java -cp moa.jar:weka.jar -javaagent:sizeofag.jar moa.DoTask "EvaluateModel -m file:model.moa -s (ArffFileStream -f test_s2w.arff -c 1) -o predicted.txt"
但这两个命令的输出如下所示:

 "Model description:
SMO: No model built yet"
(我通过Weka CLI检查了培训和测试数据是否与Weka兼容。)

可能的原因是什么