model.score and r2_score giving different values for a regression model
$begingroup$
I am build a linear regression model and a decision tree model using sklearn. I want to compare the performance of these two models, I have calculated the r2_score for both the models. I have calculated the model.score for both the values. I am confused which is a better metric to compare the performance of these models. Also what does model.score gives?
from sklearn.metrics import r2_score
score_DT = r2_score(y_pred_DT,y_test)
dt_score = regressorDT.score(X_test,y_test)
machine-learning scikit-learn regression decision-trees linear-regression
asked 4 mins ago
ChinniChinni
83
$endgroup$
add a comment |
$begingroup$
I am build a linear regression model and a decision tree model using sklearn. I want to compare the performance of these two models, I have calculated the r2_score for both the models. I have calculated the model.score for both the values. I am confused which is a better metric to compare the performance of these models. Also what does model.score gives?
from sklearn.metrics import r2_score
score_DT = r2_score(y_pred_DT,y_test)
dt_score = regressorDT.score(X_test,y_test)
machine-learning scikit-learn regression decision-trees linear-regression
asked 4 mins ago
ChinniChinni
83
$endgroup$
add a comment |
$begingroup$
I am build a linear regression model and a decision tree model using sklearn. I want to compare the performance of these two models, I have calculated the r2_score for both the models. I have calculated the model.score for both the values. I am confused which is a better metric to compare the performance of these models. Also what does model.score gives?
from sklearn.metrics import r2_score
score_DT = r2_score(y_pred_DT,y_test)
dt_score = regressorDT.score(X_test,y_test)
machine-learning scikit-learn regression decision-trees linear-regression
asked 4 mins ago
ChinniChinni
83
$endgroup$
I am build a linear regression model and a decision tree model using sklearn. I want to compare the performance of these two models, I have calculated the r2_score for both the models. I have calculated the model.score for both the values. I am confused which is a better metric to compare the performance of these models. Also what does model.score gives?
from sklearn.metrics import r2_score
score_DT = r2_score(y_pred_DT,y_test)
dt_score = regressorDT.score(X_test,y_test)
machine-learning scikit-learn regression decision-trees linear-regression
machine-learning scikit-learn regression decision-trees linear-regression
asked 4 mins ago
ChinniChinni
83
asked 4 mins ago
ChinniChinni
83
asked 4 mins ago
ChinniChinni
83
asked 4 mins ago
ChinniChinni
83
asked 4 mins ago
ChinniChinni
83
83
add a comment |
add a comment |
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