WebFeb 6, 2024 · from sklearn.metrics import confusion_matrix cm=confusion_matrix (testY, testPredict) print (cm) then it give an error stated: Found input variables with inconsistent numbers of samples: [30, 24] actually I've check the shape of the test and the prediction value and it shows the different shape. WebFeb 10, 2024 · Usually that error is from the CSV file not having empty columns included in the rows. So, if you had 3 headings you would need to have at least 2 commas per row. Heading 1, Heading 1, Heading 3 Value 1,, Value 2,, Value 3,, Note the additonal commas after Value 1 which show column 2 and 3 are empty.
Sample Statistics Are Always Wrong (to Some Extent)!
WebAug 26, 2024 · If no sample has the SB genotype annotation, annotation may still fail. WARN 19:41:17,540 InbreedingCoeff - Annotation will not be calculated. InbreedingCoeff requires at least 10 unrelated samples. ... ERROR MESSAGE: Inconsistent number of provided filter names and expressions: names=[] exps=[AB < 0.2 MQ0 > 50] WebJul 12, 2024 · If you want to make the same confidence statements while allowing 1 or more defects in your sample, the sample size required will be larger. For example, allowing 1 … how much is floor screeding
エラー:ValueError: Found input variables with inconsistent numbers of …
WebJul 21, 2024 · When I checked y.shape it gives one-dimensional array instead of this it should show two-dimensional array. You can see the whole code as I have given below and screenshots. import pandas as pd import numpy as np import matplotlib.pyplot as mt dataset = pd.read_csv ("50_Startups.csv") x = dataset.iloc [ :, :-1].values y = dataset.iloc [ :, … WebJul 21, 2024 · The problem in my case was, Number of rows in X was not equal to number of rows in y. In most case, x as your feature parameter and y as your predictor. But your feature parameter should not be 1D. So check the shape of x and if it is 1D, then convert it from 1D to 2D. x.reshape(-1,1) WebGiven the above definition of inconsistent, only matrices with more than one column can be inconsistent. If this is the case, then A must be inconsistent, b must be undefined, and therefore c must be undefined as well. But the solutions at the end of the book say Ax = c has infinitely many solutions or no solutions. What am I missing? matrices how much is flood insurance in tennessee