Visualizeinit #20
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trivialfis
reviewed
Oct 31, 2020
| print(f"algo: {algo}") | ||
| s = "" | ||
| for i in range(len(algo)): | ||
| if(algo[i] == '_'): |
| temp_df = temp_df.drop(columns=["test_time", "AUC", "train_time", "F1","Precision", | ||
| "Recall","MeanAbsError","MeanSquaredError","MedianAbsError", "algorithm"]) | ||
| if(idx == 0): | ||
| temp_df = temp_df[temp_df["Accuracy"] != "-na-"] |
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Where is gbm bench outputting the symbol "-na-"?
| df = pd.DataFrame() | ||
| for idx, i in enumerate([args.d1, args.d2]): | ||
| temp_df = pd.read_csv(i) | ||
| temp_df = temp_df.drop(columns=["test_time", "AUC", "train_time", "F1","Precision", |
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Please consider using a variable name that's easier to understand. What's in the df after drop? :-)
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This is a script to generate graphs from csv results of testing