使用pythonwekawrapper3后获取与结果相关的特定值

pip install python-weka-wrapper3

from weka.core.converters import Loader
from weka.classifiers import Classifier

loader = Loader(classname="weka.core.converters.ArffLoader")
data = loader.load_file("path/to/your/dataset.arff")
data.class_index = data.num_attributes - 1  # 设置类别索引

classifier = Classifier(classname="weka.classifiers.trees.J48")
classifier.build_classifier(data)

# 假设有一个新实例new_instance
new_instance = data.get_instance(0)  # 获取第一个实例
new_instance.set_class_value("?")  # 设置类别值为问号，表示未知类别

predicted_value = classifier.classify_instance(new_instance)  # 获取预测的类别值
predicted_probabilities = classifier.distribution_for_instance(new_instance)  # 获取预测的概率分布

print("预测类别值:", predicted_value)
print("预测概率分布:", predicted_probabilities)