[英]How to plot performance percentages using percentage on y axis and each metric on x axis?
假設我有一個從估算器獲得的以下指標:
方式1:
Accuracy: 0.492307692308
score: 0.492307692308
precision: 0.368678121457
recall: 0.492307692308
hamming loss: 0.0536130536131
Jaccard similarity: 0.946386946387
F-Beta Score: 0.902376921174
方式2:
Accuracy: 0.07692308
score: 0.307692308
precision: 0.8678121457
recall: 0.492307692308
hamming loss: 0.0536130536131
Jaccard similarity: 0.946386946387
F-Beta Score: 0.902376921174
方式3:
Accuracy: 0.432307692308
score: 0.412307692308
precision: 0.68678121457
recall: 0.2307692308
hamming loss: 0.0536130536131
Jaccard similarity: 0.946386946387
F-Beta Score: 0.902376921174
可以通過以下方式獲得此指標:
from sklearn.metrics.metrics import precision_score, recall_score, confusion_matrix, classification_report, accuracy_score, roc_auc_score, auc
print '\nAccuracy:', accuracy_score(y_test, prediction)
print '\nscore:', classifier.score(testing_matrix, y_test)
print '\nprecision:', precision_score(y_test, prediction)
print '\nrecall:', recall_score(y_test, prediction)
print 'Hamming loss:',hamming_loss(y_test,prediction)
print 'Jaccard similarity:',jaccard_similarity_score(y_test,prediction)
print 'F-Beta Score:',fbeta_score(y_test, prediction, average='macro', beta=0.5)
如何使用matplotlib繪制這種不同的性能? 假設在y軸上為百分比,在x上為aproach?
如果您想知道要繪制的內容,@ cel'answer是正確的選擇。 如果您的問題更多關於如何繪制數字, seaborn
就有一個叫做factor plot
東西。 在這里看看教程。
你可以很容易產生這樣的圖形(假裝x軸有標簽,他們accuracy
, f1
, precision
, recall
):
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