Google Colab and Auto-sklearn with Profiling

X, y, coeff = make_regression(
Subset of 100 generated features
import autosklearn.regressionautoml = autosklearn.regression.AutoSklearnRegressor(
predictions = automl.predict(X_train_transformed)
r2_score(df_train["label"], predictions)
>> 0.999
predictions = automl.predict(X_test_transformed)
r2_score(df_test["label"], predictions)
>> 0.999
PipelineProfiler output




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