"Analyzing the provided data on different baselines, several observations can be made across various metrics.\n",
"\n",
"Firstly, looking at the Mean Absolute Error (MAE), baseline_4 stands out with the lowest value of 0.713063, indicating superior accuracy in predictions compared to the other baselines. Following closely behind is baseline_3 with a MAE of 0.868666, showcasing commendable precision in its predictions.\n",
"\n",
"Next, considering the Root Mean Square Error (RMSE), baseline_4 again exhibits the best performance with a value of 0.912046, suggesting minimal overall prediction errors. Baseline_3 maintains strong performance here as well, with an RMSE of 1.076227.\n",
"\n",
"Examining the Hit Rate, baseline_3 leads the pack with 9.35%, signifying a higher success rate in recommendations compared to the other baselines. Meanwhile, baseline_1 and baseline_4 show lower hit rates at 5.61% and 7.48% respectively.\n",
"\n",
"Lastly, looking at the Novelty metric, baseline_4 scores the lowest at 60.35, indicating that its recommendations are less novel or more conventional compared to the others. On the other hand, baseline_1 scores the highest in novelty at 99.41, implying that its recommendations are more diverse or less conventional.\n",
"\n",
"In summary, baseline_4 appears to excel in several metrics including MAE, RMSE, and maintaining relatively low novelty. Baseline_3 stands out with a higher hit rate, showcasing effectiveness in recommendation success. Baseline_2, despite not excelling in the other metrics, exhibits an exceptionally high novelty score, indicating a unique approach to recommendations compared to the rest."
]
}
],
"metadata": {
...
...
%% Cell type:markdown id:a665885b tags:
# Evaluator Module
The Evaluator module creates evaluation reports.
Reports contain evaluation metrics depending on models specified in the evaluation config.
%% Cell type:code id:6aaf9140 tags:
``` python
# reloads modules automatically before entering the execution of code
The data has been exported to the evaluation report
mae rmse hit_rate novelty
baseline_1 1.563822 1.787365 0.046729 99.405607
baseline_2 1.535869 1.866364 0.018692 429.942991
baseline_3 0.871233 1.081468 0.037383 99.405607
baseline_4 0.729477 0.926489 0.158879 60.583178
baseline_1 1.517749 1.745787 0.056075 99.405607
baseline_2 1.472806 1.805674 0.000000 429.942991
baseline_3 0.868666 1.076227 0.093458 99.405607
baseline_4 0.713063 0.912046 0.074766 60.349533
%% Cell type:markdown id:9fbf23fd tags:
Analyzing the provided data on different baselines, several observations can be made across various metrics.
Firstly, looking at the Mean Absolute Error (MAE), baseline_4 stands out with the lowest value of 0.713063, indicating superior accuracy in predictions compared to the other baselines. Following closely behind is baseline_3 with a MAE of 0.868666, showcasing commendable precision in its predictions.
Next, considering the Root Mean Square Error (RMSE), baseline_4 again exhibits the best performance with a value of 0.912046, suggesting minimal overall prediction errors. Baseline_3 maintains strong performance here as well, with an RMSE of 1.076227.
Examining the Hit Rate, baseline_3 leads the pack with 9.35%, signifying a higher success rate in recommendations compared to the other baselines. Meanwhile, baseline_1 and baseline_4 show lower hit rates at 5.61% and 7.48% respectively.
Lastly, looking at the Novelty metric, baseline_4 scores the lowest at 60.35, indicating that its recommendations are less novel or more conventional compared to the others. On the other hand, baseline_1 scores the highest in novelty at 99.41, implying that its recommendations are more diverse or less conventional.
In summary, baseline_4 appears to excel in several metrics including MAE, RMSE, and maintaining relatively low novelty. Baseline_3 stands out with a higher hit rate, showcasing effectiveness in recommendation success. Baseline_2, despite not excelling in the other metrics, exhibits an exceptionally high novelty score, indicating a unique approach to recommendations compared to the rest.