Question : classification report to excel
Answered by : horrible-hornet-hj47gq3s3s1j
import pandas as pd
def classification_report_csv(report): report_data = [] lines = report.split('\n') for line in lines[2:-3]: row = {} row_data = line.split(' ') row['class'] = row_data[0] row['precision'] = float(row_data[1]) row['recall'] = float(row_data[2]) row['f1_score'] = float(row_data[3]) row['support'] = float(row_data[4]) report_data.append(row) dataframe = pd.DataFrame.from_dict(report_data) dataframe.to_csv('classification_report.csv', index = False)
report = classification_report(y_true, y_pred)
classification_report_csv(report)Source : https://stackoverflow.com/questions/39662398/scikit-learn-output-metrics-classification-report-into-csv-tab-delimited-format | Last Update : Sat, 06 Jun 20