解释一下上面的代码过程:我们是用diabetesTib数据集训练的模型,然后我们做预测的时候也是用的同样的数据集。 同样的数据集本来是有标签的(糖尿病类型),然后我们训练的KNN模型会给它在预测一个标签,这个时候我们就可以进行真标签和预测标签的比较,就可以形成一个performance metrics,这个中文叫做性能指标。 性能指标可以...
AI代码解释 [root@centos~]# git clone https://github.com/jobergum/dense-vector-ranking-performance.git Cloning into'dense-vector-ranking-performance'...remote:Enumerating objects:149,done.remote:Counting objects:100%(2/2),done.remote:Compressing objects:100%(2/2),done.remote:Total149(delta0),...
# ROCR画ROC曲线就是2步,先prediction,再performancepred <- prediction(prob,truth_test) # 预测概率,真实类别perf <- performance(pred, "tpr","fpr") # ROC曲线的横纵坐标,不要写错了auc <- round(performance(pred, "auc")@y.values[[1]],digits = 4) # 提取AUC值auc## [1] 0.8477# 画图plot...
[2] Adeniyi DA, Wei Z, Yang Y. Social Network Services Use, Academic Self-Efficacy and Students Academic Performance in Nigerian Tertiary Institutions [Internet]. DEStech Transactions on Engineering and Technology Research. 2016. Available from: http://dx.doi.org/10.12783/dtetr/ssmeist2016/3930...
The second weighting scheme yields a classifier that has better out-of-sample performance. Optimize Fitted KNN Classifier Copy Code Copy Command This example shows how to optimize hyperparameters automatically using fitcknn. The example uses the Fisher iris data. Load the data. Get load fisheriris...
plt.title('k-NN: Performance by Number of Neighbors') plt.plot(neighbors, test_accuracy, label = 'Testing Accuracy') plt.plot(neighbors, train_accuracy, label = 'Training Accuracy') plt.legend() plt.xlabel('# of Neighbors') plt.ylabel('Accuracy') ...
plt.title('k-NN: Performance by Number of Neighbors') plt.plot(neighbors, test_accuracy, label = 'Testing Accuracy') plt.plot(neighbors, train_accuracy, label = 'Training Accuracy') plt.legend() plt.xlabel('# of Neighbors') plt.ylabel('Accuracy') ...
Finite element method is used to simulate the performance of these materials. Interestingly, K0.5 Na0.5 NbO3 -LiSbO3-CaTiO3 (KNN-LS-CT) demonstrated better vibration control behavior than that of conventional lead-based compounds. These materials are also reported to be temperature insensitive (...
kNN is arguably the simplest machine learning algorithm. In spite of its simplicity, kNN can provide surprisingly good classification performance, and its simplicity makes it easy to interpret. KNN算法思想解释 K最近邻算法是一种分类算法,算法思想是在数据集中找到与样本最相似的K个样本,如果这K个样本中...
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