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Machine learn-Bob the builder

i solved the first 4 test cases ,but the last 2 failed and its hidden. can you help me to fix the last 2 cases ,and not sending me a new one? Thank you. n = int(input()) X = [] for i in range(n): X.append([float(x) for x in input().split()]) y = [int(x) for x in input().split()] datapoint = [float(x) for x in input().split()] from sklearn.linear_model import LogisticRegression import pandas as pd model=LogisticRegression() model.fit(X,y) X.append(datapoint) df=pd.DataFrame(X,columns=['xAxis','yAxis']) x=df.values y_pred=model.predict(x) print(y_pred[n])

5th Feb 2022, 8:43 PM
Ahmad Al Amine
1 Antwort
+ 1
delete import pandas.. line and all lines after model.fit ...and this is the print print(model.predict([datapoint])[0]) ...................... from sklearn.linear_model import LogisticRegression n = int(input()) X = [] for i in range(n): X.append([float(x) for x in input().split()]) y = [int(x) for x in input().split()] datapoint = [float(x) for x in input().split()] model = LogisticRegression() model.fit(X, y) print(model.predict([datapoint])[0])
5th Feb 2022, 9:31 PM
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