AI for the Good by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030669133
Publisher: Springer International Publishing

To assess the accuracy of the different models, the median prediction has been taken as the naïve baseline, which results in (due to the normalization from one hot encoding, results are directly in %):Median Baseline Mean Absolute Error

MAE = 3.7879%

Median Baseline Root Mean Square Error

RMSE = 4.8252%

The model initiation is configured as follows:model1 = LinearRegression() # no parametrization

model2 = ElasticNet(alpha=1.0, l1_ratio=0.5)

model3 = RandomForestRegressor(n_estimators=100)

model4 = ExtraTreesRegressor(n_estimators=100)

model5 = SVR(kernel='rbf', degree=3, C=1.0, gamma='auto')

model6 = GradientBoostingRegressor(n_estimators=50)

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