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Browse files- .evaluation/Model_Training/AAPL_actual_vs_predicted.png +0 -0
- .evaluation/Model_Training/AAPL_next_30_days.png +0 -0
- .evaluation/Model_Training/AAPL_predicted_vs_actual.png +0 -0
- .evaluation/Model_Training/AAPL_residuals.png +0 -0
- .evaluation/Model_Training/AMZN_actual_vs_predicted.png +0 -0
- .evaluation/Model_Training/AMZN_next_30_days.png +0 -0
- .evaluation/Model_Training/AMZN_predicted_vs_actual.png +0 -0
- .evaluation/Model_Training/AMZN_residuals.png +0 -0
- .evaluation/Model_Training/GOOGL_actual_vs_predicted.png +0 -0
- .evaluation/Model_Training/GOOGL_next_30_days.png +0 -0
- .evaluation/Model_Training/GOOGL_predicted_vs_actual.png +0 -0
- .evaluation/Model_Training/GOOGL_residuals.png +0 -0
- .evaluation/Model_Training/MSFT_actual_vs_predicted.png +0 -0
- .evaluation/Model_Training/MSFT_next_30_days.png +0 -0
- .evaluation/Model_Training/MSFT_predicted_vs_actual.png +0 -0
- .evaluation/Model_Training/MSFT_residuals.png +0 -0
- .evaluation/Model_Training/model_performance.csv +16 -16
.evaluation/Model_Training/AAPL_actual_vs_predicted.png
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.evaluation/Model_Training/AAPL_next_30_days.png
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.evaluation/Model_Training/AAPL_predicted_vs_actual.png
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.evaluation/Model_Training/AAPL_residuals.png
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.evaluation/Model_Training/AMZN_actual_vs_predicted.png
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.evaluation/Model_Training/AMZN_next_30_days.png
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.evaluation/Model_Training/AMZN_predicted_vs_actual.png
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.evaluation/Model_Training/GOOGL_actual_vs_predicted.png
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.evaluation/Model_Training/GOOGL_next_30_days.png
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.evaluation/Model_Training/GOOGL_predicted_vs_actual.png
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.evaluation/Model_Training/GOOGL_residuals.png
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.evaluation/Model_Training/MSFT_actual_vs_predicted.png
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.evaluation/Model_Training/MSFT_next_30_days.png
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.evaluation/Model_Training/MSFT_predicted_vs_actual.png
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.evaluation/Model_Training/MSFT_residuals.png
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.evaluation/Model_Training/model_performance.csv
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,,RMSE,MAPE,MAE,R2,CV_RMSE_Mean,CV_RMSE_Std
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GOOGL,RandomForest,51.
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GOOGL,GradientBoosting,
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GOOGL,LinearRegression,2.
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GOOGL,VotingRegressor,34.
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AMZN,RandomForest,50.
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AMZN,GradientBoosting,50.
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AMZN,LinearRegression,2.
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AMZN,VotingRegressor,33.
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MSFT,RandomForest,
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MSFT,GradientBoosting,
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MSFT,LinearRegression,4.
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MSFT,VotingRegressor,
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AAPL,RandomForest,
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AAPL,GradientBoosting,
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AAPL,LinearRegression,2.
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AAPL,VotingRegressor,64.
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,,RMSE,MAPE,MAE,R2,CV_RMSE_Mean,CV_RMSE_Std
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GOOGL,RandomForest,51.62814748715518,0.34108205518305,44.954180618145564,-3.0776619765268682,6.535986832802429,4.642286490107683
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GOOGL,GradientBoosting,52.109274650749605,0.3455554013623536,45.48430508939333,-3.1540162705742114,6.6360865581210104,4.741203702821247
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GOOGL,LinearRegression,2.2169280504358624,0.014328845937372547,1.701529834489909,0.9924813246223421,0.47293837697213936,0.2854122674400126
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GOOGL,VotingRegressor,34.65058225991485,0.22934770724180004,30.203988121424022,-0.836788750961682,4.4203825093328355,3.124758885606557
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AMZN,RandomForest,50.922609935306866,0.26482875839077086,41.78196601214572,-1.6477631560356762,10.187044204934132,14.103161520088973
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AMZN,GradientBoosting,50.33751897458186,0.2608466546923101,41.20097502120835,-1.587268126895117,10.191606915927306,14.08455981764739
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AMZN,LinearRegression,2.7936732483751388,0.015333960903150857,2.072174488544322,0.9920309042688733,0.4009398343741989,0.42464149068072726
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AMZN,VotingRegressor,33.79132757689236,0.17590083082086627,27.729251658985852,-0.16591887907922742,6.805791647994388,9.397025086105634
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MSFT,RandomForest,159.2713278550334,0.45934088032781195,137.79960442914987,-2.9723446884869613,9.880539918804413,16.721642656089585
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MSFT,GradientBoosting,159.89854374307023,0.46213621313119346,138.50765396402784,-3.0036927481230595,9.835957745658066,16.809218829792094
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MSFT,LinearRegression,4.276744715637281,0.012314975412245587,3.2091323016885993,0.9971358327184626,0.5551139855384274,0.3156966240140815
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MSFT,VotingRegressor,106.40669065331652,0.30727579844029784,92.11897924280953,-0.7730035179964367,6.650484652013392,11.182534847265307
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AAPL,RandomForest,96.51661082680386,0.5708877268262857,87.34789070445348,-4.522178132951084,5.269817259055881,4.337238242868576
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AAPL,GradientBoosting,96.52718836258913,0.5711036864367867,87.36767279106309,-4.523388582365567,5.338041994283688,4.3613760964191455
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AAPL,LinearRegression,2.4490663527728973,0.013306449034306589,1.8132484633268995,0.9964444451014088,0.25926450581558275,0.20061791069158857
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AAPL,VotingRegressor,64.41805142530464,0.38110990189582494,58.299149672490564,-1.459922658447229,3.5447982310938024,2.9043357936196235
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