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@ -16,8 +16,11 @@ test_data = data.drop(train_data.index)
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input_param_name_1 = 'Economy..GDP.per.Capita.'
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input_param_name_2 = 'Freedom'
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output_param_name = 'Happiness.Score'
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# 双特征的loss为:0.08517538069974877
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x_train = train_data[[input_param_name_1, input_param_name_2]].values
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# 全特征的loss为:0.0019415807477718364
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# feat_list = list(train_data.columns.drop(['Happiness.Score','Country']))
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# x_train = train_data[feat_list].values
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y_train = train_data[[output_param_name]].values
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x_test = test_data[[input_param_name_1, input_param_name_2]].values
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