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52 lines
1.4 KiB
Python
Executable File
52 lines
1.4 KiB
Python
Executable File
import os
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from datetime import datetime
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from experimentation.Sets import Datasets
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from experimentation.Database import MySQL
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def store_result(database, dataset, accuracy, time_spent):
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command_insert = (
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"replace into results (date, time, type, accuracy, "
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"dataset, classifier, norm, stand, time_spent, parameters) values (%s,"
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" %s, %s, %s, %s, %s, %s, %s, %s, %s)"
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)
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now = datetime.now()
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date = now.strftime("%Y-%m-%d")
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time = now.strftime("%H:%M:%S")
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values = (
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date,
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time,
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"crossval",
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accuracy,
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dataset,
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"oc1",
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True,
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False,
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time_spent,
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str({"random_state": 1}),
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)
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cursor = database.cursor()
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cursor.execute(command_insert, values)
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database.commit()
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def get_result(name):
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filename = os.path.join("data", "oc1output", f"{name}.txt")
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result_file = open(filename, "r")
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lines = result_file.readlines()
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accuracy = float(lines[-2].split("= ")[1].split("#")[0]) / 100
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time = float(lines[-1])
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print(f"accuracy=[{accuracy}] time=[{time}]")
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result_file.close()
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return accuracy, time
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dbh = MySQL()
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database = dbh.get_connection()
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dt = Datasets(False, False, "tanveer")
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for dataset in dt:
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print(f"Processing {dataset[0]:30s}", end=" ")
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accuracy, time_spent = get_result(dataset[0])
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store_result(database, dataset[0], accuracy, time_spent)
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dbh.close()
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