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get_precision_recall_spw200_top5.sh
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get_precision_recall_spw200_top5.sh
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#TOP 20
# Spectral Window 1-200
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 5 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 5 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 5 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 5 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 5 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 5 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 5 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 5 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top5.hot_cores_full.csv