圖1. 分類表 此表按照區隔顯示目標觀察值與預測值的交叉分類。 「保留」分割區中的(遺漏)列包含目標上具有遺漏值的保留觀察值; 這些是兩個原型。 這些觀察值會構成保留樣本:整體百分比,而非正確百分比值。 這個表格顯示訓練樣本中的所有卡車都已正確分類,而其中只有 9 輛汽車被錯誤分類。 該模型似乎是一個非常...
若要查看模型執行的程度,您可以透過交叉列表預測種類與實際種類來建構 分類表-也稱為 混淆矩陣-。 您可以使用已儲存的模型預測種類,在另一個程序中建立分類表。 如需相關資訊,請參閱 使用交叉表分析交叉分類 主題。 圖1. 起始模型的分類表格 該模型似乎在預測結果種類方面做了不錯的工作,至少在最常見的種類...
Moreover, given that the ML estimates in multinomial regression are only asymptotically unbiased, we expect the performance of the algorithm to increase when the number of observations increases (Masci et al., 2022). For what concerns the identification of the subpopulations, Table 1 reports the ...
Demographic data of both groups are shown in Table 1. Image quality was assessed by the delineation of the common hepatic duct and did not differ between groups (p = 0.134). In addition, the ´lymphatic burden` was automatically examined and was indexed to the number of delineated ...
Full size table Fig. 3 Three-dimensional CT imaging of femoral tunnel classification system. a: Type I off-target type The tunnel was separated from the LIR and contained by the femoral non-footprint; b: Type II straddled type The tunnel was intersected or tangent with the LIR, and the ...
Full size table In addition, to further investigate the performance of the classifiers on the patient population versus the TD group, we performed the following classifications between; ASD and TD, and schizophrenia and TD. In the ASD and TD group, only SVM was able to perform well with an ...
Statistical analysis was performed with SPSS17.00 statistical software. Continuous variables were shown as mean ± standard deviation, and categorical variables were presented as percentages. Results Demographic characteristics Demographic characteristics of patients with BS are shown in Table 1. This stu...
Full size table Glomerular intrinsic cells In view of the good performance of our previous ARPS for the recognition of glomerular intrinsic cells in IgA patients, we firstly verified the performance of the ARPS system on identifying glomerular intrinsic cells in DN patients, a total of 13,072 int...
Figure 1. Classification table, block 1 The classification table shows the practical results of using the logistic regression model. For each case, the predicted response isYesif that cases's model-predicted probability is greater than the cutoff value specified in the dialogs (in this case, the...
Figure 1. Classification The classification table shows the practical results of using the network. For each case, the predicted response is the category with the highest predicted pseudo-probability. Cells on the diagonal are correct predictions. ...