weka
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n.
新西兰黑秧鸡，毛利鸡；
英英释义
weka[ 'weikə ]
n.flightless New Zealand rail of thievish disposition having short wings each with a spur used in fighting
同义词：maori henwood hen
权威例句
The WEKA Data Mining SoftwareWEKA: a machine learning workbench
WEKA: A machine learning workbench
Weka-A Machine Learning Workbench for Data Mining
WEKA : the Waikato environment for knowledge analysis
Bayesian Network Classifiers in Weka
Data mining in bioinformatics using Weka
Weka: Practical Machine Learning Tools and Techniques with Java Implementations
Bayesian network classifiers in Weka for version 3-5-7
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
1. Building the data det for weka.
为WEKA构建数据集。
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2. Creating the regression model with weka.
用WEKA创建一个回归模型。
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3. So now we have the data loaded into WEKA.
现在我们已经将数据载入了WEKA。
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4. WEKA is powerful and 100-percent free to use.
WEKA功能强大且100 %免费。
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5. At this point, please go ahead and install WEKA.
我们继续并安装WEKA。
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6. Listing 4 shows the ARFF data we'll be using with WEKA.
清单4显示了我们在WEKA中所使用的ARFF数据。
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7. At this point, we are ready to create our model in WEKA.
至此，我们已经准备好可以在weka内创建我们的模型了。
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8. This tells WEKA that we want to build a regression model.
这会告诉WEKA我们想要构建一个回归模型。
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9. Yet, the results we get from WEKA indicate that we were wrong.
然而，我们从WEKA 获得的结果表明我们错了。
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10. In this view, WEKA allows you to review the data you're working with.
在这个视图中，WEKA允许您查阅正在处理的数据。
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11. Let's get some real data and take it through its paces with WEKA.
让我们现在开始获得一些真正的数据并将其带入WEKA。
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12. Listing 4 shows how the data is formatted to be consumed by WEKA.
清单4显示了如何格式化数据以便为WEka所用。
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13. So let's see how to get our data into a format that the WEKA API can use.
那么让我们看看如何将我们的数据转换成weka API可以使用的格式。
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14. To load data into WEKA, we have to put it into a format that will be understood.
为了将数据加载到WEKA，我们必须将数据放入一个我们能够理解的格式。
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15. This article also introduced you to the free and open source software program WEKA.
本文还向您介绍了一种免费的开源软件程序weka。
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16. As you can imagine, the central building block in the WEKA API is going to be the data.
正如您所想，WEKAAPI内的这个中心构建块就是数据。
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17. NOTE: I would warn you ahead of time that the WEKA API can be difficult to navigate at times.
注：我最好提前告诫您WEKAAPI有时很难导航。
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18. After selecting the file, your WEKA Explorer should look similar to the screenshot in Figure 3.
在选择了文件后，WEKAExplorer应该类似于图3中所示的这个屏幕快照。
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19. The math behind the method is somewhat complex and involved, which is why we take full advantage of the WEKA.
此方法背后的算法多少有些复杂和难懂，这也是我们为何要充分利用WEKA的原因。
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20. Bigger houses reduce the value - WEKA is telling us that the bigger our house is, the lower the selling price?
较大的房子价格反而低—weka告诉我们房子越大，销售价格越低？
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21. When you start WEKA, the GUI chooser pops up and lets you choose four ways to work with WEKA and your data.
在启动WEKA 时，会弹出GUI选择器，让您选择使用 WEKA和数据的四种方式。
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22. In the previous two articles in this "data mining with WEKA" series, I introduced the concept of data mining.
在这个“用WEKA进行数据挖掘”系列之前的两篇文章中，我介绍了数据挖掘的概念。
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23. This tells WEKA that to build our desired model, we can simply use the data set we supplied in our ARFF file.
这会告诉WEKA为了构建我们想要的模型，可以使用我们在ARFF文件中提供的那些数据。
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24. Load the data file bmw-training.arff (see Download) into WEKA using the same steps we've used up to this point.
使用我们之前使用过的相同步骤来将数据文件bmw - training . arff(参见下载)载入WEKA。
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25. Load the data file bmw-browsers.arff into WEKA using the same steps we used to load data into the Preprocess TAB.
采用与将数据加载到Preprocess选项卡时的相同步骤来将数据文件bmw - browsers . arff加载到weka内。
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26. Load the data file bmw-training.arff into WEKA using the same steps we've used to this point in the Preprocess TAB.
将数据文件bmw - training . arff载入WEKA，步骤与我们之前在Preprocess选项卡中使用的相同。
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27. Ideally, this little section should greatly interest you into looking how to integrate WEKA into your own server-side code.
我们希望这一小节能够让您产生将WEKA集成到您自己的服务器端代码的兴趣。
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28. Finally, the last point I want to raise about classification before using WEKA is that of false positive and false negative.
在使用weka前，有关分类我还想指出最后一点，那就是假正和假负。
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29. Now that the desired model has been chosen, we have to tell WEKA where the data is that it should use to build the model.
现在，选择了想要的模型后，我们必须告诉WE KA它创建这个模型应该使用的数据在哪里。
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30. As you've seen, WEKA can do many of the data mining tasks that were previously available only in commercial software packages.
正如您所见，WEKA可以完成很多在商业软件包中才能完成的数据挖掘任务。
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weka
