Fix method params
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ef78f179cd
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08e81610a9
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@ -283,7 +283,7 @@ xs, y_recall, y_fscore, recall_std, fscore_std = sort_tuples_to_lists(sensor_gro
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# %% [markdown]
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# %% [markdown]
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# ### Visualize sensors groups F1 and recall scores
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# ### Visualize sensors groups F1 and recall scores
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print(sensor_groups_importance_scores)
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print(sensor_groups_importance_scores)
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plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std, recall_std, fscore_std,
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plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std,
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title="Sequential addition of sensors and its F1, and recall scores")
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title="Sequential addition of sensors and its F1, and recall scores")
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# %%
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# %%
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@ -298,7 +298,8 @@ xs, y_recall, y_fscore, recall_std, fscore_std = sort_tuples_to_lists(best_senso
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# %% [markdown]
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# %% [markdown]
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# ### Visualize best sensor's F1 and recall scores
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# ### Visualize best sensor's F1 and recall scores
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print(best_sensor_features_scores)
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print(best_sensor_features_scores)
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plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore)
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plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std,
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title="Best sensor addition it's features with F1 and recall scores")
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# %%
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# %%
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# This section iterates over all sensor groups and investigates sequential feature importance feature-by-feature
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# This section iterates over all sensor groups and investigates sequential feature importance feature-by-feature
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