mirror of
https://github.com/Doctorado-ML/Stree_datasets.git
synced 2025-08-15 23:46:03 +00:00
86 lines
2.3 KiB
Python
Executable File
86 lines
2.3 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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from statistics import mean, stdev
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def store_result(database, dataset, accuracy, time_spent):
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attributes = [
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"date",
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"time",
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"type",
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"accuracy",
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"accuracy_std",
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"dataset",
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"classifier",
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"norm",
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"stand",
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"time_spent",
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"time_spent_std",
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"parameters",
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]
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command_insert = (
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"insert into results ("
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+ ",".join(attributes)
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+ ") values("
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+ ("\"%s\"," * len(attributes))[:-1]
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+ ");"
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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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mean(accuracy),
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stdev(accuracy),
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dataset,
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"oc1",
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1,
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0,
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mean(time_spent),
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stdev(time_spent),
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"{}",
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)
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print(command_insert % values, file=database)
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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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accuracy = []
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time_spent = []
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for seed in [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]:
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filename = os.path.join("data", "oc1output", f"{name}_{seed}.txt")
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result_file = open(filename, "r")
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lines = result_file.readlines()
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result_file.close()
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data = lines[-6:-1]
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for line in data:
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acc, time_s = line.split("***")[2:4]
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accuracy.append(float(acc))
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time_spent.append(float(time_s))
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return accuracy, time_spent
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#dbh = MySQL()
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#database = dbh.get_connection()
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database = open("oc1.sql", "w")
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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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accuracy_mean, accuracy_std = mean(accuracy), stdev(accuracy)
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time_mean, time_std = mean(time_spent), stdev(time_spent)
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print(
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f"accuracy=[{accuracy_mean:05.3f}\u00B1{accuracy_std:05.3f}] "
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f"time=[{time_mean:05.3f}\u00B1{time_std:05.3f}] "
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f"elements=[{len(accuracy)} {len(time_spent)}]"
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)
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store_result(database, dataset[0], accuracy, time_spent)
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#dbh.close()
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database.close
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