在Weka中運行哪個版本的SVM？

Question

我需要使用Weka的LibSVM實現RSS源中關鍵字頻率上的SVM分類器，以將這些源分類爲目標類別。但是我不確定給出我的數據要運行哪個版本。

我.arff文件通常包含以下數據：

@attribute Keyword_1_nasa_Frequency numeric 
@attribute Keyword_2_fish_Frequency numeric 
@attribute Keyword_3_kill_Frequency numeric 
@attribute Keyword_4_show_Frequency numeric 
… 
@attribute RSSFeedCategoryDescription {BFE,FCL,F,M, NCA, SNT,S} 

@data 
0,0,0,34,0,0,0,0,0,40,0,0,0,0,0,0,0,0,0,0,24,0,0,0,0,13,0,0,0,0,0,0,0,0,0,0,0,0, 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,BFE 
0,0,0,12,0,0,0,0,0,20,0,0,0,0,0,0,0,0,0,0,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,BFE 
0,0,0,10,0,0,0,0,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,BFE 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,BFE 
… 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,FCL 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,F 
… 
20,0,64,19,0,162,0,0,36,72,179,24,24,47,24,40,0,48,0,0,0,97,24,0,48,205,143,62,7 
8,0,0,216,0,36,24,24,0,0,24,0,0,0,0,140,24,0,0,0,0,72,176,0,0,144,48,0,38,0,284, 
221,72,0,72,0,SNT 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,SNT 
0,0,0,0,0,0,11,0,0,0,0,0,0,0,19,0,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0 
,0,0,0,0,0,0,0,0,0,17,0,0,0,0,0,0,0,0,0,0,0,0,0,20,0,S 

等等：總共有570行，其中每一個都是在每天的飼料用 頻率的關鍵字中包含的。在這種情況下，共有57個記錄供 10天共計570個記錄進行分類。每個關鍵字的前綴爲 ，並帶有替代號碼，後綴爲「頻率」。

但在其他情況下，我已經使用布爾值的頻率，使上述第一行是：

假的，假的，假的，真的，假的......，BFE

而且依此類推，其中34是正確的，因爲滿足了閾值，其他因爲閾值未達到而錯誤。

據我可以確定，有在Weka中三種類型的SVM的，但有誰能夠告訴我，我應該用我上面的數據可以使用這類型？

Answer 1

我建議所有三個核心類型的嘗試，並確定哪一個是適合您的訓練和驗證數據的最好（做圖），然後就繼續使用該訓練模型來預測新的投入。

在weka中，您可以保存模型以備將來使用。